Numerical investigation on the failure mechanisms of. particulate composite material under a various loading

Size: px
Start display at page:

Download "Numerical investigation on the failure mechanisms of. particulate composite material under a various loading"

Transcription

1 Fal report Numercal vestgato o the falure mechasms of partculate composte materal uder a varous loadg codtos usg a damage costtutve model P.I.: Hrosh Okada, Ph.D., Assocate Professor Address: Departmet of Nao Structure ad Advaced Materals Graduate School of Scece ad Egeerg, Kagoshma Uversty --40 Kormoto, Kagoshma , Japa Telephoe, Facsmle: , E-mal: okada@mech.kagoshma-u.ac.jp

2 Report Documetato Page Form Approved OMB No Publc reportg burde for the collecto of formato s estmated to average hour per respose, cludg the tme for revewg structos, searchg exstg data sources, gatherg ad matag the data eeded, ad completg ad revewg the collecto of formato. Sed commets regardg ths burde estmate or ay other aspect of ths collecto of formato, cludg suggestos for reducg ths burde, to Washgto Headquarters Servces, Drectorate for Iformato Operatos ad Reports, 5 Jefferso Davs Hghway, Sute 04, Arlgto A Respodets should be aware that otwthstadg ay other provso of law, o perso shall be subject to a pealty for falg to comply wth a collecto of formato f t does ot dsplay a curretly vald OMB cotrol umber.. REPORT DATE 0 SEP 006. REPORT TYPE Fal Report (Techcal). DATES COERED to TITLE AND SUBTITLE Numercal vestgato o the falure mechasms of partculate composte materals uder varous loadg codtos usg damage costtutve model 6. AUTHOR(S) Hrosh Okada 5a. CONTRACT NUMBER FA50904P07 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 5d. PROJECT NUMBER 5e. TASK NUMBER 5f. WORK UNIT NUMBER 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) Kagoshma Uversty,--40 Kormoto,Kagoshma ,Japa,JP, SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES) The US Resarch Labolatory, AOARD/AFOSR, Ut 4500, APO, AP, PERFORMING ORGANIZATION REPORT NUMBER 0. SPONSOR/MONITOR S ACRONYM(S) AOARD/AFOSR. SPONSOR/MONITOR S REPORT NUMBER(S) AOARD DISTRIBUTION/AAILABILITY STATEMENT Approved for publc release; dstrbuto ulmted. SUPPLEMENTARY NOTES 4. ABSTRACT Durg the preset research, the followgs have bee accomplshed ) The separate dlatatoal/devatorc damage costtutve model was proposed alog wth a method to extract ts materal parameters from oe-dmesoal stress-stra curve. The damage model was mplemeted the s-fem computer program. ) S-FEM formulato wth the cohesve zoe model has bee proposed ad has bee mplemeted the s-fem program. ) S-FEM aalyses o partculate composte materals, wth assumg the matrx damage ad dewettg betwee the partcles ad matrx materal, has bee carred out. Some characterstc behavor of damages the partculate composte materals has bee revealed. 5. SUBJECT TERMS Composte Fracture Mechacs, Numercal Smulato 6. SECURITY CLASSIFICATION OF: 7. LIMITATION OF ABSTRACT a. REPORT uclassfed b. ABSTRACT uclassfed c. THIS PAGE uclassfed 8. NUMBER OF PAGES 77 9a. NAME OF RESPONSIBLE PERSON Stadard Form 98 (Rev. 8-98) Prescrbed by ANSI Std Z9-8

3 Cotets Summary 4. S-verso Fte Elemet Method (S-FEM) for the aalyss of partculate composte materals.5. Equato Formulatos 5. Numercal Implemetatos of s-fem (Evaluato of stffess matrces)..9.. Evaluato of elemet ad couplg stffess matrx 0.. Materal costats ad stra hstores. Damage costtutve model...5. Isotropc damage costtutve model.5. Separate Isotropc/devatorc damage model.8. Cohesve zoe model ad ts mplemetato the s-fem computer program. Cohesve zoe model.. Cohesve zoe wth a arbtrary oretato..6. S-FEM formulato wth the cohesve zoe model Formulatos Cohesve zoe elemet Materal damage evoluto partculate composte materals-damage costtutve laws Relatoshp betwee the effectve stress-lke parameters ad the damage parameters 4.. The sotropc damage model The separate Isotropc/devatorc damage model Materal damage evoluto partculate composte materals-cohesve zoe model (dewettg betwee the partcles ad

4 matrx materal) 4 5. Materal damage evoluto matrx materal uder the flueces of mechacal teractos of partcles- (Four partcle model wthout ambet pressure) Isotropc damage materal wthout ambet pressure Separate dlatatoal/devatorc damage materal wth α = 0. ad wthout ambet pressure Separate dlatatoal/devatorc damage materal wth α = 0.99 ad wthout ambet pressure Separate dlatatoal/devatorc damage materal wth α = 0.0 ad wthout ambet pressure Summary: Separate dlatatoal/devatorc damage materal wth α = 0., 0.99 ad 0.0, ad wthout ambet pressure Materal damage evoluto matrx materal uder the flueces of mechacal teractos of partcles- (Four partcle model wth ambet pressure) Isotropc damage materal wth ambet pressure Separate dlatatoal/devatorc damage materal wth α = 0. ad wth ambet pressure Separate dlatatoal/devatorc damage materal wth α = 0.99 ad wth ambet pressure Separate dlatatoal/devatorc damage materal wth α = 0.0 ad wth ambet pressure Summary: Separate dlatatoal/devatorc damage materal wth α = 0., 0.99 ad 0.0, ad wth the ambet pressure.5 5. Materal damage evoluto matrx materal uder the flueces of mechacal teractos of partcles- (Ne radomly dstrbuted partcle model wth ad wthout ambet pressure) Isotropc damage materal wthout ambet pressure (Ne radomly dstrbuted partcle model) Separate dlatatoal/devatorc damage materal wth α = 0. ad wthout ambet pressure (Ne radomly dstrbuted partcle model) 5

5 5.. Separate dlatatoal/devatorc damage materal wth α = 0.99 ad wthout ambet pressure (Ne radomly dstrbuted partcle model) Separate dlatatoal/devatorc damage materal wth α = 0.0 ad wthout ambet pressure (Ne radomly dstrbuted partcle model) Isotropc damage materal wth ambet pressure (Ne radomly dstrbuted partcle model) Separate dlatatoal/devatorc damage materal wth α = 0. ad wth the ambet pressure (Ne radomly dstrbuted partcle model) Separate dlatatoal/devatorc damage materal wth α = 0.99 ad wth the ambet pressure (Ne radomly dstrbuted partcle model) Separate dlatatoal/devatorc damage materal wth α = 0.0 ad wth the ambet pressure (Ne radomly dstrbuted partcle model) Summary: Separate dlatatoal/devatorc damage materal wth α = 0., 0.99 ad 0.0, ad wth ad wthout the ambet pressure (Ne radomly dstrbuted partcle model) Materal damage evoluto-dewettg betwee the partcles ad matrx materal (cohesve zoe model) Oe partcle model, wthout matrx damage (wthout the ambet pressure) Oe partcle model, wth matrx damage (wthout the ambet pressure) Four partcle model, wth matrx damage (wthout the ambet pressure) Coclusos...7 Refereces...74 Publcatos 74 Ackowledgemets..75

6 Summary I ths research, the s-verso fte elemet method (s-fem) s used to carry out aalyses o the partculate composte materals udergog progressve damage. Matrx materal s assumed to be a polymerc materal. Hard partcles are embedded matrx materal. S-FEM smplfes the modelg procedures for partculate composte materals because t allows us to buld fte elemet models for the structure as whole ad for partcles ad ther vctes, separately. They are called global ad local fte elemet models. Whe partculate composte materals are modeled, the local fte elemet model cotas a partcle ad ts mmedate surroudg rego. The local fte elemet models are superposed o the global model. By adoptg the s-fem, placg partcles matrx materal became a trval task. Matrx s cosdered to suffer from a materal damage due to the growth ad ucleato of mcrovods. Also, the composte expereces damage due to partcle-matrx dewettg. The former s accouted for by the use of a cotuum damage costtutve law. The later s by a cohesve zoe model. Two kds of cotuum damage models are used ths research. They are a sotropc ad a separate dlatatoal/devatorc damage costtutve law that accouts for the flueces of hydrostatc ad devatorc stresses separately. The costtutve ad the cohesve zoe models were mplemeted the s-fem computer program. Numercal aalyses were carred out to reveal the characterstc deformato behavor of partculate composte such as the flueces of hard partcles to matrx damage, the flueces of partcle-matrx dewettg to matrx damage, etc. The results revealed that the separate dlatatoal/devatorc damage costtutve model wth a small cotrbuto from the devatorc stresses was the most approprate model amog the models whch were tested ths study. Whe the cohesve zoe model s assumed at the terface betwee the partcles ad matrx materal, the stregth of bod of the cohesve zoe determes the damage mode that domates the other. Whe the bod s strog, the matrx damage s the major damage mode. Whe the bod s weak, the dewettg s the major damage mode. The outcomes of preset research revealed some characterstc behavor of progressve damage polymerc partculate compostes. 4

7 . S-verso Fte Elemet Method (S-FEM) for the aalyss of partculate composte materals. Equato Formulatos I ths secto, we dscuss about geeral formulatos of the s-verso fte elemet method (s-fem). It s assumed that partcles or fbers are dstrbuted the doma of aalyss as show Fgure. Though Fgure mples that the partcles or vods are sphercal ther shapes, there s o such restrctos the mathematcal formulato. The secod phase materal ca be fbrous or ay others ther shapes. Though the prevous formulatos of the s-fem (see Fsh [] for example) assumes oly oe overlad model to be superposed o the global model, we allow ay umbers of fte elemet models to be superposed. The, the overlad models are allowed to overlap each other, as depcted Fgure. Whe the shapes of the embedded secod phase materals are the same or smlar to each other, the same local fte elemet model ca be used repeatedly. Therefore, geeratg a model for the composte would be a smple task. I the followg dscussos, the regos of the global ad the p-th (p=,,,, M) G local fte elemet models are desgated to be Ω ad Ω Lp, as depcted Fgure. We assume that there are a total of M local model regos. The dsplacemets are defed based o the shape fuctos of elemets the global ad local models, depedetly [see refereces such as Bathe [] ad Hughes [] for the shape fuctos G G of fte elemets]. We wrte them to be u = u ( x) Ω G Lp Lp Lp ad u = u ( x) Ω, where x deotes the posto of a materal pot. At a pot whch s ot sde of ay local model regos, the dsplacemets are the same as the dsplacemet fuctos G u G of Ω. u u = ( x) () G u At a pot where some local fte elemet models overlap, the dsplacemet fuctos are gve by the sum of dsplacemet fuctos of the overlapped models. For u example, at a pot where the local models Lp Ω ad Lq Ω ( p, q M, p q ) overlap G o the global model Ω, the dsplacemets u are represeted by the sum of ther 5

8 dsplacemet fuctos, as: G Lp Lq = u ( x) + u ( x) u ( x) () u + To assure the cotutes of dsplacemets, those based o a local fte elemet model are set to be zero at ts outer boudary. We let: Lp Lp u = 0 at Ω () Lp Lp where Ω desgates the outer boudary of local model rego Ω. Stresses at a pot are wrtte terms of stras through Hooke s law [see Sokolkoff [4], for example]. σ j = Ejklε kl (4) where the elastc costats locato of a materal pot. E jkl may vary wth the sold ad are the fuctos of E = E ( x) (5) jkl jkl The statemet of prcple of vrtual work s wrtte to be: Ω G u x j E jk G ( Ω ) uk G G l dω = G Ω ubdω + G Ω utd t (6) t x l where u are the varatos of dsplacemets, b are the body force per ut volume, G t are the prescrbed tracto vector o the tracto prescrbed boudary Ω t. The varatos of dsplacemets are assumed the same maer as the dsplacemets u 6

9 u, by the superposto at materal pots where they overlap. Thus, G be u = ( x) u u are wrtte to where o local models overlap o the global model ad u G Lp Lq = u ( x) + u ( x) ( x) + u where local models Lp Ω ad Lq Ω ( p, q M, p q ) overlap o the global model. Lp of Ω. p u ( p M ) are set to be zero at the boudary Lp Ω Thus, the dsplacemets ad ther varatos are substtuted the statemet of vrtual work prcple. After some algebrac mapulatos, we arrve at: Ω G u x G j E jkl u x G k l dω G G Lp M u u k Lp G G + Ejkl Ω = Ω G u bdω + G Ω utd x x t p= ΩLp j l ( Ω ) d (7) G t Ω Lp u x Lp j E jkl u x G k l dω Lp + Ω Lp u x Lp j E jkl u x Lp k l dω Lp + M q= q p Lq Ω Lp u x Lp j E u Lq k jkl xl dω Lp Lq Lp = Ω Lp u bdω Lp (8) ( p =,,, L, M ) From the left had sdes of equatos (7) ad (8), varous stffess matrces are obtaed. Thus, a equato ca be wrtte a matrx form, as: K L K L K L K M LM K G G G G G K K K K G L K L L L L L M LM L K K K K G L L L K L L L M LM L K K K K G L L L L L K L M LM L L L L L O L K K K K G LM L LM L LM L LM K M LM u u u u M u G L L L LM F F F = F M F G L L L LM (9) s the ordary stffess matrx for the global fte elemet model whch arses = are those for the local G K Lp from the frst term of equato (7) ad K ( p,,, L, M ) G Lp fte elemet models arsg from the secod term of equato (8). K Lp G ( p =,,, L, M ) ad K ( p =,,, L, M ) are the couplg stffess matrces betwee the global ad local fte elemet models, arsg from the secod term of equato (7) ad the frst term of equato (8), respectvely. G Lp thrd term of equato (8). F ad F ( p,,,l, M ) Lp Lq p =,,,, M ; p q ) K (, q L are the couplg stffess matrces betwee the local fte elemet models arsg from the = are the odal force vectors 7

10 of exteral ad body forces. It s oted that the matrces have the propertes of Lp G G Lp T Lp Lq Lq Lp K = ( K ) ad K = ( K ) T had sde of equato (9) s symmetrc.. Therefore, the coeffcet matrx the left Ukow odal dsplacemets are obtaed by solvg the lear smultaeous equatos (9), ad the dsplacemet feld the composte s determed (see Okada, Lu, Nomya, Fuku ad Kumazawa [5] for the full detals of the soluto procedures). (a) Partculate com poste (b) Fbrous composte Fgure Schematc vews of composte materals Fgure A s-fem model for composte materal whch each fber/partcle ad ts mmedate vcty are modeled by a local fte elemet mesh 8

11 Fgure Local model regos ( Ω global model rego G Ω Lp ( p =,,, L,M )) whch are superposed o the. Numercal Implemetatos of s-fem (Evaluato of stffess matrces) A uque feature of the s-fem s that elemets global ad local fte elemet models overlap each other. There are may ways for elemets to overlap, as show Fgure 4. Elemets may overlap each other a arbtrary maer. Ths rases serous problems the evaluato of stffess matrces such that ) whe a couplg stffess matrx such as Lp Lq K s formed, elemets dfferet fte elemet models may partally overlap each other (two-dmesoal llustrato s preseted Fgure 5) ad ) more tha oe materal models or materal parameters that are specfed by the overlappg elemets may exst at a pot. Some specal care must be gve to overcome these ssues. I ths secto, how we ca overcome these ssues s-fem computer mplemetato s descrbed. 9

12 (a) (b) (c) (d) (e) (f) Fgure 4 May ways that two elemets overlap each other; (a)~(c): Two-dmesoal examples ad (d)~(f): Three-dmesoal examples Fgure 5 Overlappg rego LP Lqj Lp Ω of the regos Ω ad Ω Lqj of two elemets ( Lp ad Lpj).. Evaluato of elemet ad couplg stffess matrx We cosder a typcal scearo. Fgure 5 llustrates the fte elemets ad j of the local mesh regos p ad q. They are desgated to be elemets Lp ad Lqj, respectvely. They overlap each other ad, therefore, ther couplg stffess matrx s formed. The Lp Lqj couplg stffess matrx [ k ] ca be wrtte to be: 0

13 Lp w here [ ] Lp Lqj Lp T Lqj Lp Lqj [ ] = Lp Lqj [ B ] [ E][ B ] dω k (0) Lqj B ad [ ] Ω B are the stra-dsplacemet matrx for the elemets, ad [ E] Lp Lqj s the matrx represetg the elastc costats E l equato (5). Ω s jk the volume of overlappg rego. Whe the couplg stffess matrx s form ed, a umercal tegrato s performed for the overlappg volume Lp Lqj Ω. Lp Lqj However, the overlapped rego Ω may have a complex geometry. It s almost mpossble to explctly defe the geometry of the overlappg rego ad to apply a ordary umercal tegral scheme such as Gasuss quadrature. I ths study, we perform the tegral based o oe of the overlappg elemets. It ca be show to be: Lp Lqj Lp Lqj Lp T Lqj Lp [ ] = Ω Lp ( x)[ B ] [ E][ B ] dω k α () α Lp Lqj ( x) s a scalar fucto whose value s Lp Lqj Ω ad 0 outsde of Lp Lqj Ω, as dcated Fgure 5. Numercal tegral s performed based o elemet Lp. Therefore, the tegrad of equato () has a sever dscotuty sce the value of Lp Lqj α ( x) chages abruptly from to 0 or 0 to. Therefore, a ordary Gauss quadrature s uable to evaluate the tegral accurately. I order to crcumvet ths problem, we developed a elemet subdvso scheme. The elemet subdvso techque s llustrated Fgure 6 for two- ad three-dmesoal problems. As show Fgure 6 (a-), two-dmesoal elemets Lp ad Lqj partally overlap each other, ad the tegrato s performed based o Lp. Frst, elemet Lp s dvded to 4 sub-cells. The each subdvded-cell s checked f t tersects wth the edges of elemet Lqj. If a subdvded-cell tersects wth the edges of elemet Lqj, t s dvded to 4 sub-cells aga. Ths process s repeated utl the smallest sub-cell becomes small eough (typcally wth % of the volume of elemet Lp). The processes of creatg sub-cells are show Fgures 6 (a-)~(a-v). The, a ordary Gauss quadrature rule s appled each subdvded-cell. The same approach s adopted three-dmesoal problems, as show Fgure 6 (b-)-(b-v). However, t should be oted that proposed methodology s ot computatoally effcet ad takes much loger computatoal tme tha the ordary Gauss quadrature, because may

14 tegrato pots are used to carry out the umercal tegral. (a-) (a-) (a-) (a-v) (b-) (b-) (b-) (b-v) Fgure 6 Elemet subdvso techques for (a) two- ad (b) three- dmesoal problems.. Materal costats ad stra hstores I a ordary fte elemet method, the materal costats are assged to fte elemets ad the stra hstory formato, such as damage paramters are stored at the tegrato pots. I preset s-fem aalyss, the global ad local fte elemet models overlap each other ad materal data cludg tal stras ad stra hstory parameters are assged to global ad local fte elemet models depedetly. Ths meas that two or more sets of materal parameters exst wth a overlappg rego. Frst, prorty orders are assged to materal models the put data. Deformato hstory data s stored at ordary tegrato pots each elemet global ad local fte elemet model. Whe two or more fte elemets overlap at a pot, a materal model havg the hghest proprety order s chose frst. If there were two or more overlappg elemets havg the same materal model at a pot, deformato hstory data of the smallest elemet s used to form the stffess matrces. For example, Fgure 7, a two-dmesoal schematc llustrato s gve. There are two materal models A ad B that are assged to the elemets. At a pot wth the

15 overlappg rego, materal model A or B s chose accordg to ther assged prorty orders. Eve whe a ordary elemet stffess matrx s formed, abrupt chages materal costat may occur. The elemet subdvso scheme of secto.. s used for such cases. Next, we dscuss about treatmets for the stra hstory parameters. Whe the elemet subdvso techque s adopted, may tegrato pots just for umercal tegrato are geerated. If oe tres to store the stra hstory data at each oe of them, a large amout of computer memory wll be requred. Thus, preset s-fem program, each ordary tegrato pot carres the stra hstory formato. For example, the case of two-dmesoal lear fte elemet, there are four ordary tegrato pots, as depcted Fgure 8. Fgure 8 presets the postos of four tegrato pots ξ-η ormalzed coordate system. Each of the tegrato pots represets a quarter of area of the elemet as show Fgure 8. Whe the elemet subdvso techque s used, the ξ-η ormalzed coordate values of each geerated tegrato pot are evaluated ad the program chooses a ordary tegrato pot whose stra hstory parameters are used. For three-dmesoal case, the same strategy s adopted. Fgure 7 A rego of multply assgmed materal models ad the Gauss pots the overlappg elemets

16 Fgure 8 Gauss pots a elemet (two-dmesoal quadrlateral elemet) 4

17 . Damage costtutve model I ths research, we assume the ucleato ad growth of mcrovods polymerc materal ad the dewettg betwee the partcles ad polymerc matrx materal. Fgure 9 shows the schematc vew of damage modes. These materal damages reduce the effectve area of materal secto. Thus, the materal stffess s reduced gradually whle progressve materal damages take place. Two kds of damage costtutve laws were adopted. They are descrbed ths chapter. The sotropc damage model followg Smo ad Ju [6, 7] was exteded to separate dlatatoal/devatorc damage model that ca accout for the dlatatoal ad devatorc compoets of damages separately. The separate dlatatoal/devatorc damage model s especally powerful whe the deformato of the materal uder a ambet pressure s aalyzed. The dlatatoal part of materal damage s maly due to the ucleato ad growth of mcrovods. It s cosdered that uder egatve hydrostatc stress, the ucleato ad growth of mcrovods do ot occur. The dlatatoal damage model s assumed to be duced whe the hydrostatc stress s postve. Fgure 9 A schematc vew of two kds of damage modes; the growth of mcrovods matrx materal ad dewettg betwee the partcles ad matrx materal. Isotropc damage costtutve model 5

18 Frst, we descrbe the sotropc damage theory by followg Smo ad Ju [6]. I Smo ad Ju [6], the effectve stress cocept ad the hypothess of stra equvalece are descrbed. Whe they are appled to the case of elastc damage, the elastc potetal eergy of damaged materal, terms of the stras ε j ad the d s wrtte to be: ψ o ( ε kl d ) = ( d ) ψ ( ε kl, ) () where ψ o ( ε k l ) s the elastc-potetal fucto for vrg materal that s wrtte to be: ψ o ( ε kl ) = Cjklε jε kl () Just lke equvalet stress cocept the theory of plastcty, a scalar parameter τ that measures the magtude of stress/deformato s troduced. τ = ψ o ( ε kl ) (4) Crtera for the damage evoluto are wrtte as follows. Frst, the effectve stress eeds to reach the crtcal value. g ( τ ( ε ) r( d )) = τ ( ε ) r( d ) = 0 (5) kl kl where r( d ) s the fucto of the d. The relatoshp betwee r ( d ) ad d eeds to be determed based a expermetal data. The materal damage progresses whe the creases. Therefore, whe the damage s ogog, the tme dervatve of the d & must be postve. d & > 0 (6) d & s determed through the evoluto law, as: = rh & ( τ, d ) & τ ( ε ) H ( τ d ) (7) d& = k l, 6

19 The costat H ( τ, d ) characterzes the progress of damage wth respect to the effectve stress lke term. Equatos (5) ad (6) must be satsfed whe the progressve damage takes place. It s oted that the costat H ( τ, d ) s always postve. Therefore, the equvalet stress-lke term must crease to satsfy equato (7), whle the materal damage s progress. Sce the elastc potetal eergy s assumed the form of equato (), the stresses σ j are wrtte the followg form. = ( ) l (8) σ j d C jkl ε k The rates of stresses ca be expressed by dfferetatg both the sdes of equato (), as: o ( d ) C jk & ε k dc & jk ε k = ( d ) C jk & ε k d& σ j (9) & j = l l l l σ l l where o σ j ( = Cjklε kl ) are the stresses whe the vrg materal s assumed for the same stras. From equato (7), the rate of d ca be derved to be: d & d& o & σ kl H ( ) ( ) ( τ, d ) o = τ H τ,d = H τ,d & ε = σ & ε (0) τ kl τ kl kl H (, d ) τ characterzes the rate of d wth respect to the rate of the effectve stress-lke parameter Substtutg equato (0) equato (9), we arrve at: τ &. & σ j = ( ) & & o d C ε dσ = ( d ) ID = Djkl & ε kl jkl kl j H Cjkl & ε kl ( τ, d ) τ σ o j σ o & klε kl () where 7

20 D ID jkl H ( ) ( τ, d ) o o = d C σ σ () jkl τ j kl D ID jk l are the taget modul for the sotropc damage materal ad have the major ad ID ID ID ID mor symmetres,.e. D D, D D ad D D. jkl = ID k l j jkl = ID j l k jkl = jk l. Separate Isotropc/devatorc damage model The damage evoluto of some class of materals are more sestve to hydrostatc pressure stress tha shear stresses. A typcal scearo s a materal cotag mcrovods. Mcrovods grow uder appled postve-hydrostatc pressure stress. But they do ot grow uder egatve-hydrostatc pressure stress. The growths of the vods are assumed to be less sestve to the shear (devatorc) stresses tha postve-hydrostatc stress. Oe way to model such materal s to separate the cotrbutos of sotropc ad devatorc stresses to the damage growth. To do so wth a very smple model, we separate the d to the dlatatoal (volumetrc) ad devatorc parts. Hece, the elastc potetal eergy fucto [equato ()] s modfed ad s wrtte to be: o o ( ε, d, d ) = ( d ) ψ ( ε ) + ( d ) ψ ( ε ) ψ kl D kk D D j () where ε kk ad ε j are the volumetrc ad devatorc stras. The fuctos o ψ ad o ψ D are defed to be: o ψ = K( ε ) o ad ψ = µε ε (4) kk j j where K ad µ are the bulk ad shear modul. It s oted here that uder a costrat codto d = d D, the separate dlatatoal/devatorc damage model s the same as the sotropc damage model. We defe two kds of effectve stress-lke terms, as: 8

21 ( ε ) K( ε ) o ψ kk kk τ = = ad D = ψ D ( ε j ) = µε jε j o (5) τ Whe the damages are progress, the followg codtos must be satsfed. τ = r d ) ad σ > 0 for the dlatatoal damage (6) v ( v kk τ = r d ) for the devatorc damage (7) D v ( D The evoluto equatos for the s are wrtte, as: & d pp = & τ H ( τ, d ) = H ( τ, d ) K & ε = H ( τ, d ) & ε (8) kk Kε K ( ε ) qq kk d& D & µε = τ D H D µε ε kl ( τ D, d D ) = H D ( τ D, d D ) ε kl (9) pq The costats H ( τ, d ) ad H ( τ, d ) gover the evoluto laws for the damage D D D parameters. The costats are the fuctos of the effectve stress-lke terms τ ad τ ad of the s d ad d. From equato (), we ca wrte the D stresses, as: pq D ( ε kl, d, d D ) = ( d ) j Kε kk + ( d D ) µε j (0) ψ j = ε j σ By dfferetatg both the sdes of equato (0) ad makg use of equatos (8) ad (9), we ca wrte the rate form costtutve equato, as: ad, & σ j = = ( d ) K & ε + ( d ) ( d ) K & ε + ( d ) = D D jkl & ε j j kl kk kk D D µε& j µε& j d& j Kε H kk d& ( τ, d ) ( ) 4H ( τ d ) τ D µε j Kε & D D, kk ε ll τ D D j kl kl µ ε ε & ε () 9

22 D D jkl H = ( d ) K + ( d ) µ ( + ) kl jl ( τ,d ) ( ) H ( τ,d ) τ Kε j D 4 kk j kl D τ k D D D jk l j kl µ ε ε () D Djk l are the taget modul that relate the rate of stresses to those of stras. It s oted D D D D D that have the major ad mor symmetres,.e. D jk D j, D jk D k ad Djk l l = k l l = j l D D jkl = D D jk l. 0

23 . Cohesve zoe model ad ts mplemetato the s-fem computer program The cohesve zoe model was mplemeted the s-fem computer program. I preset research, the cohesve zoe model accouts for separato betwee the reforcg partcles ad matrx materal. I ths secto, the formulatos of the cohesve zoe model (Chadra [8], Foulk, Alle ad Helms [9], etc.) alog wth the s-fem are preseted.. Cohesve zoe model Iterface separato law s characterzed by the cohesve zoe model. The terface a sold s depcted Fgure 0. We assume that such terface separato takes place whle progressve dewettg betwee matrx ad a partcle occurs. A three-dmesoal llustrato s gve Fgure. Here, we defe two kds of coordate systems. Oe s the global coordate system ( x, x, x ) whch s fxed the space ad the other s local coordate system ( x, x, x ) whch x ad x are the plae of the terface ad x s perpedcular to the terface. We defe upper ad lower faces as depcted Fgure. The postve drecto of the x coordate ad the ormal drecto of the terface are defed as depcted Fgure. Ther drectos are defed from the lower to the upper surface. Relatve dsplacemets u are defed + as the dfferece of the dsplacemets u ad u of the upper ad the lower faces, respectvely. () dcate that the compoets of the vector are wrtte the ( x, x, x ) local coordate system. u = u u () + By usg the relatve dsplacemets u, we defe a dmesoless parameter λ whch characterzes the separato ad the slps of the terface, as: λ u u u = + + t t (4) where t ad are the legth parameters that characterzes the dstace of partal

24 separato before the fal oe. The, a eergy desty fucto s defed terms of λ. W = W ( λ) (5) W = W ( λ) s the eergy potetal ad has propertes of: W W ( λ = 0) = ( λ ) 0 = W Separato (6) W s the eergy requred to ope ut area cohesve zoe. Separato Sce W = W ( λ) represets the eergy, we ca express: W W W& = α ( uα ) ( u ) ( λ ) u& + u& ( α =,) (7) Therefore, cohesve tractos T are wrtte to be: Tα W ( u ) = ( =, ) α α, W T = (8) ( u ) Thus, we ca express T, as: W dw dw u dw u λ Tα = (9) T α α = = = ( u ) dλ ( u ) dλ λ dλ λ α W α = = = ( u ) dλ ( u ) dλ λ dλ λ dw dw u t dw u λ = (40) t It s assumed here that W has the followg form: W ( λ) = σ f ( λ) (4) Here, σ s the maxmum ormal stress ad the maxmum value of f ( λ) s oe. f ( λ ) s the dmesoless fucto of λ. The fucto f ( λ) takes ts values f ( λ = 0 ) = 0 ad f ( λ ) = 0. By usg equato (4), the tractos ca be wrtte, as:

25 W dw Tα = α uα T = ( ) dλ u ( u ) = σ t W = = σ t λ α ( λ) df λ dλ = ( ) dλ u ( u ) u dw ( λ) df λ dλ λ dw = dλ dw = dλ uα t u = σ λ = σ λ ( λ) df dλ ( λ) df dλ uα λ t u λ (4) (4) I may lteratures such as [8] ad [9], equatos (4) ad (4) are terpreted to be: Tα T where, u α = ασ F( λ) (44) t u σ F( λ) = (45) α = (46) t Or we ca wrte: Tα T u α = σ F( λ) (47) t t u σ F( λ) = (48) I order to obta rate form taget modul, we further dfferetate equatos (47) ad (48) wth respect to tme. & Tα = σ t ( λ) F t ( λ) u& α df uα u + λ dλ t t u& + t uα u t u& uα u + t u& (49) Lkewse,

26 ( ) { ( ) = t t u u u u u u u u u F u F T d d & & & & & λ λ λ λ σ (50) I a matrx form, we ca wrte: ( ) ( ) + = t t t t t t t t t t t t t t t t t t t t t t u u u u u u u u u u u u u u u u u u u u u F F T T T d d & & & & & & λ λ λ λ σ (5) Therefore, the taget matrx the rate formulato s symmetrc. Fucto ( ) λ F have some choces as descrbed Chadra [8]. I preset aalyses, followg Foulk, Alle ad Helms [9], we let ( ) λ F be: ( ) ( 4 7 λ λ λ + = F ) (5) ad therefore, ( ) ( ) ( ) d d = + = λ λ λ λ F I order to show the sgfcace of ths choce of fucto ( ) λ F, we cosder the eergy per ut area of the terface due to a opeg mode. For the absece of u ad u compoets, we ca compute the eergy, as: Q ( ) ( ) T u T Q σ λ λ λ λ σ λ 48 7 d d d = + = = = (5) where 4

27 ad u 7 4 T = σ F( λ) = σ F( λ) λ = σ ( - λ + λ )λ (54) ( u ) = dλ d (55) From the expresso of (54), the maxmum value of s for T σ λ =. From equatos (5), (54) ad (55), oe ca state: σ ad determes the characterstcs ormal separato (eergy ad tal stffess of the terface). σ characterzes the tal stffess of the terface. I addto, by examg equato (50), oe ca fd that characterzes the t stffess rato betwee the ormal ad the tagetal separatos of the terface. Fgure 0 Progressve dewettg/terface separato betwee a partcle ad matrx materal 5

28 Fgure The cohesve zoe ad assocated coordate systems ( ( x,x, x ) global ad ( x,x, x ) local coordate systems). Cohesve zoe wth a arbtrary oretato I the prevous secto, the cohesve zoe model was descrbed the ( x, x x ) local, coordate system. I ths secto, detaled dscussos o how the coordate traslatos from the local to the global coordate system are carred out are gve. We assume a rate form formulato ad the rates of stresses o the terface are wrtte terms of the rates of relatve dsplacemets. & T kj u& j = (56) where the compoets of k j are foud from equato (5), as: 6

29 k k k k k k k k = σ k F ( λ) t 0 0 t 0 0 u u t t t df( λ) u u + λ dλ t t t u u t t 0 0 u u t t t u u t t t u u t t t t u u t u u t u u (57) Whe the terface s oreted a arbtrary drecto, matrx k j the ( x, x, x ) local coordate system must be trasformed to the c global coordate system. The drectos of x ad x coordate axes are the plae of the terface. x s perpedcular to the terface. A ter-elemet face costtutes a cohesve zoe elemet. The local ormalzed coordates ( ξ η), the local coordates ( x, x x ) ad the global coordates ( x ),, x, x are set as show Fgure. Ut bass vectors wth respect to the ( x, x x ) ad x x ) coordate systems are desgated to be ( e, e e ) ad, ( e, e, e ) (,, x, respectvely., Frst, we let the drectos of ξ ad x coordate axes be the same, as show Fgure. Thus, the bass vector e s show to be: x x ξ ξ = e e (58) e The, we defe aother ut vector ê, ad e ad e are calculated to be: x x = e e η η e ˆ, ad e ( ) e eˆ e eˆ =, e e e = (59) 7

30 The compoets global coordate system, as: k j of tagetal stffess of the cohesve zoe are trasformed to the k j ( k e e ) e = k ( e e )( e e ) = e kl k l j kl k l j (60) k show the stffess of the cohesve zoe the ( x, x x ) global coordate system. j, Fgure The ( x,x, x ) local coordate system ad ts ut bass vectors ( e, e, ), ad ( ξ η) ormalzed coordates e. S-FEM formulato wth the cohesve zoe model.. Formulatos The cohesve zoe model s mplemeted the s-fem computer program. It s assumed that the cohesve zoes are oly mplemeted the local fte elemet models. The global fte elemet model s ot resposble for the cohesve zoe model. I the s-fem formulato, we start wth the prcple of vrtual work, as stated below. 8

31 Ω G u x j uk Ejkl xl G dω = Ω + S G ubdω + Ω G + G t + + t& u& d G utd( Ωt ) + ( S ) + t& u& d( S S ) (6) + + where S ad S are both the faces of the cohesve zoe. t& ad t & + are the rate of tractos o S ad S, respectvely, that are duced by the + opeg of the cohesve zoe. ad are the varatos of the u& dsplacemet rates o + S ad S. They are the state of equlbrum ad therefore we ca wrte: u& + t = t& & (6) Therefore, we have: S t& u& d + ( S ) + S t& u& d( S ) = + t& ( u& u& ) d( S ) S (6) The tracto rates u & + t& are wrtte terms of the rates of relatve dsplacemets o the cohesve zoe, as show equato (56). The relatve dsplacemets are wrtte terms of jumps the dsplacemets across the cohesve zoe. Thus, are wrtte to be: + + ( u& u& ) + t& t & = k (64) j j j + Where u& ad u & are the veloctes at both the faces of the cohesve zoe. j j kj are the taget stffess of the cohesve zoe, as descrbed prevous secto. The rght had sde of equato (64) has a egatve sg because the postve drecto of the surface s opposte from that prevous secto. By substtutg equato (64) ad by usg the superposto of dsplacemets based o the global ad local fte elemet models, we ca wrte: Ω G G u x j G u M k G Ejkl dω + xl p= Ω Lp G u x j Lp uk Lp G G G Ejkl dω = G Ω u bdω + G Ω u Ω t td t xl ( ) (65) 9

32 Ω Lp + S Lp G Lp Lp u M uk Lp u Ω + u Lp E k jkl d Lp Ω Ejkl dω + Ω x j xl x j xl q= q p + ( ( Lp) ( Lp) + ) ( Lp) ( Lp) + u& u& kj u& j u& j d S Lp Lq Lp Lq u uk Lp Lq Ejkl dω x j xl + ( ) ( ( Lp) Lp ) = Lp u b dω Ω Lp (66) ( p =,,, L, M ) Here, we assume that there are M local models that are superposed o the global model. The local models may overlap each other ad ther couplg terms appear equato (66). It s oted that though the cohesve zoes of dfferet local model regos may tersect each other, ther couplg terms do ot appear equato (66). That s because two cohesve zoes make a le of tersecto whe they tersect ad the le has a zero area... Cohesve zoe elemet Whe the cohesve zoe s mplemeted the s-fem computer program, we troduce a cocept of cohesve zoe elemet. The cohesve zoe elemet behaves lke a terface elemet. Fgure shows the cohesve zoe elemet. For a llustratve purpose, the cohesve zoe elemet Fgure a small thckess. I actual model, the thckess s zero. The terms that are related wth the cohesve zoe elemet equato (66) as expaded further, as: S + = S S + ( Lp ( ) ( Lp) + ) ( Lp) ( Lp u& ) u& kj u& j u& j d S + ( Lp) + ( Lp) + ( Lp) + + u& j + k u& j d S S u& ( Lp) + ( Lp) + ( Lp) + u& k u& d S + + u& j j + ( ) ( ( Lp) ) ( ) ( Lp) ( Lp) + ( ( Lp k ) ju& j d S ) ( ) ( Lp) ( Lp) + ( ( Lp k u& d S )) S j j (67) Dscretzato procedures for the frst term the rght had sde of equato (67) are descrbed, as a example. Elemet stffess matrx for a cohesve zoe elemet + ( Lp) + S s derved as follows. The dsplacemets wth ( Lp S ) are expressed by usg the shape fuctos I =,,, where the elemet s assumed to be lear quadrlateral elemet. = { } [ ] ( ~4 N u ) N I ( 4) u& (68) 0

33 The detal of equato (68) ca be wrtte to be: u& N u& = 0 u& 0 0 N N N N N N N N 4 N N 0 u& u& u& u& u& 0 u& 0 4 u& N u& u& 4 u& 4 u& 4 u& (69) The superscrpts equato (69) desgate the odal umbers (,, or 4). The varatos of the veloctes ca also be wrtte the same maer. The stffess of the ca be wrtte a matrx from, as: k k k k = k k k (70) k k k [ ] Thus, we have: S + u& + ( Lp) + ( Lp & ) + d ( Lp k u S ) j j ( ) ( ~4 { ) T } [ ( )]{ ( ~4 u& + Lp = K u& )} { ( ~4) T } [ ] [ ][ ] ( ( )){ ( ~4 u& T + Lp = N k N d u& ) + S } S (7) The other terms are expressed the same maer, as: S + u& + ( Lp) ( Lp & ) + d ( Lp k u S ) j j ( ) ( ~4 { ) T } [ ( )]{ ( 5~8 u& + Lp = K u& )} { ( ~4) T } [ ] [ ][ ] ( ( )){ ( 5~8 u& T + Lp = N k N d u& ) + S } S (7)

34 S + u& ( ) ( 5~8 { ) T + } [ ( Lp) ]{ ( ~4 K u& )} { ( 5~8) T } [ ] [ ][ ] ( ( )){ ( ~4 u& T + Lp = N k N d u& ) + S } ( Lp) + ( Lp & ) + d ( Lp k u S ) = u& j j S (7) S + u& ( Lp) & + ( Lp) d ( Lp k u S ) j j ( ) ( 5~8 { ) T } [ ( )]{ ( 5~8 u& + Lp = K u& ) } { ( 5~8) T } [ ] [ ][ ] ( ( )){ ( 5~8 u& T + Lp = N k N d u& ) + S } S (74) Thus, the term of the elemet ca be wrtte as ts fal form, as: S + ( & + ( Lp) & ( Lp) ) & + ( Lp) & ( Lp u u k u u ) d S = = + ( ) ( ( Lp) j j j ) { ( ~4) T } [ ( )]{ ( ~4 ) } { ( ~4) } [ ( )]{ ( 5~8 u& + Lp T u& u& + Lp K K u& ) } { ( 5~8) T } [ ( )]{ ( ~4 ) } { ( ~4) } [ ( )]{ ( ~4 u& + Lp T u& u& + Lp K + K u& ) } ( ) ( ) { ( ~8) T + Lp + Lp } { ( ~8 u& K K u& ) } + ( Lp) + ( Lp) K K (75) where + [ ( Lp) T + ] = [ ] [ ][ ] ( ( Lp K ) + N k N d S ) (76) S Fgure A schematc vew of a cohesve zoe elemet

35 4. Materal damage evoluto partculate composte materals: damage costtutve laws I ths chapter, we dscuss about the mechacal teractos betwee eghborg partcles ad the dstrbuto ad the evoluto of materal damage. We assume four kds of materals; () the sotropc damage materal ad the separate dlatatoal/devatorc damage materal wth the costat α beg () 0., () 0.99 ad (4) 0.0. For the separate dlatatoal/devatorc damage model, the dstrbutos of the dlatatoal ad devatorc damages are examed separately. Matrx materal s assumed to udergo the damage. The sources of damage evolutos are due to the ucleato ad the growth of mcrovods. The stress-stra curve of matrx materal s postulated to be that of Kwo ad Lu [0]. Although the uaxal stress-stra curve of Kwo ad Lu [0] was measured for a polymerc composte materal, t s used to model matrx materal ths vestgato sce there s o other avalable materal behavor. I ths chapter, we dscuss about () how the relatoshp betwee the effectve stress-lke parameters ad the s are obtaed, () the results of aalyses for ut cell models are descrbed. 4. Relatoshp betwee the effectve stress-lke parameters ad the damage parameters. 4.. The sotropc damage model The damage evoluto law of equato (9) has a scalar fucto H ( τ,d ) of τ ad d. H (, d ) τ characterzes the damage evoluto behavor ad should be derved from a set of expermetal data. I ths secto, how the scalar fucto H ( τ,d ) s determed s descrbed. Frst, we assume that we have a stress-stra curve whch was measured a expermet. Let us assume that we have a uaxal stress-stra curve, as show Fgure 4 Stress s expressed by: σ = ( d ) Eε (77)

36 Therefore, the d s expressed by the stress ad stra, as: σ d = (78) Eε The value of the effectve stress-lke parameter τ ca be wrtte terms of the uaxal stress ad stra, as: τ σ σ o kl o = Cjk l ε jε kl = σ klε kl = ε kl = ε = σ ε = Eε (79) d d Therefore, oce the uaxal stress-stra curve s gve, relatoshp betwee the effectve stress-lke ad the ca be obtaed. I preset vestgato, a uaxal stress-stra curve s approxmated by a seres of pecewse straght les, as depcted Fgure 5. I Fgure 5, pots o the stress-stra curve ( σ,ε ), ( σ,ε ), ( σ,ε ),, ( σ, ε ), ( σ +, ε + ), coect straght le segmets. From a set of data ( σ, ε), ( σ,ε ), ( σ,ε ),, ( σ, ε ), ( σ +, ε + ),, we ca compute ( τ, d ), ( τ, d ), ( τ, d ),, ( τ, d ), ( τ +, d+ ), by usg equatos (78) ad (60). Thus, the relatoshp betwee τ ad d s also approxmated by a seres of pecewse straght les. The fucto H ( τ, d ) whch govers the damage evoluto law of equato (0) s approxmated by: H d& d d + ( τ d ) = ( d < d < d, τ < τ < τ ) (80), & + + τ τ + τ The fucto H ( τ, d ) whose value s determed by equato (80) s used the stress-stra relatoshp of equato (). We the extract a seres of data pots ( σ,ε ), ( σ,ε ), ( σ,ε ),, ( σ 7, ε 7 ), from the expermetal stress-stra curve of Kwo ad Lu [0], as show Fgure 6. As a example, the relatoshp betwee the uaxal stra ad the for the case of sotropc damage s depcted Fgure 7. Thus, the uaxal stress-stra curve s recostructed by a seres of lear approxmatos, as show Fgure 8. 4

37 Fg. 4 Uaxal stress-stra curve Fg. 5 Pecewse lear approxmato for uaxal stress-stra curve Fgure 6 Uaxal stress-stra curve of polymerc partculate composte materal that was gve Kwo ad Lu [0] 5

38 Damage arable Damage varable Stra Fgure 7 Relatoshp betwee the stra ad the for the sotropc damage costtutve model, whch was extracted from the stress-stra curve of Fgure 6. Stress (kpa) Gve data Ft by the damage model Stra Fgure 8 Uaxal stress-stra curve that was recostructed after the relatoshp betwee the effectve stress-lke ad the s s establshed by the proposed procedures. 4.. The separate Isotropc/devatorc damage model I ths secto, the damage evoluto law for the separate sotropc/devatorc damage 6

39 model s dealt wth. As see equatos (8) ad (9), there are two dfferet damage evoluto laws ad two damage varables H ( τ, d ) ad H D ( τ D, d D ). I order to fully determe H ( τ, d ) ad H ( τ, d ), we eed at least two sets of stress-stra curves. D D D Whe oly oe stress-stra curve s avalable, we eed to troduce at least oe addtoal codto. We assume that a uaxal stress-stra curve, as show Fgure 5 or 6 s avalable. As a addtoal codto to uquely determe the damage evoluto law, we postulate that the rato ( d d ) betwee the dlatatoal ad devatorc damage D parameters remas to be the same durg the uaxal deformato. We wrte: d D = αd ( 8) Here, α s a postve costat ( 0 α ). Whe α equals zero, oly the dlatatoal dam age s preset. Whe α =, the magtudes of dlatatoal ad devatorc parts equal each other ad, therefore, ths case s very smlar to that of the sotropc damage. Whe α s ftely large, the dlatatoal s zero. Therefore, materal udergoes devatorc damage oly. d We assume uaxal deformato x drecto. We ca wrte the followg statemets. σ ε 0 0, ε ( ukow) ; σ = σ = σ = σ = σ = 0 ( kow) = ε = ε = ( kow) ; ε = ( ukow) 0 ε (8) Therefore, by substtutg equatos (6) ad (6) equato (8), we have: σ σ σ = = ( ) K( ε + ε + ε ) + ( αd ) µ ( ε ε ε = ( d K ε + ε + ε + αd µ ε ε ε ( d ) K( ε + ε + ε ) + ( αd ) µ ( ε ε ε ) d ) (8) ) ( ) ( ) ( ) From the secod ad the thrd of equato (8) ad ε = ε, oe ca obta: 7

40 0 = d µ ( d ) K( ε + ε + ε ) + ( α ) ( ε ε ) (84) The frst of equato (8) ad equato (84) lead to: σ ε + ε = d ( α ) µ (85) By substtutg equato (85) the frst of equato (8), we ca establsh a relatoshp betwee σ ad ε, as: ( αd )( d ) µ Kε ( αd ) µ + ( d ) K σ = 0 (86) By rearragg equato (86), we ca establsh: αd αµ + K σ 9µ K ε + ( + α ) d + = 0 (87) σ Eε Therefore, for a gve set of varables σ, ε ad α, we ca solve for d. Two specal cases ( α = 0 ad α = ) are preseted frst. Whe α = 0, we have: ad, 0 d 0 µ + K 9µ K σ + 0 d ε σ + = Eε + ( ) 0 (88) σ d = ( ε σ = 0 K µ α ) (89) Whe α =, we have: ad, µ + K σ σ d + d + = 0 9 µ K ε Eε (90) 8

41 d σ = ( α = 0 ) (9) Eε I s oted that there are two solutos that satsfy equato (90) ad they are σ = ad. The secod oe takes a costat value ad, therefore, s ot a d d = Eε feasble soluto. For more geeral case ( α 0, ), lettg: we solve equato (87) for d, by d + Ad + B = 0 α (9) αµ + K 9µ K σ ε A = ( + α ) ad σ B = Eε (9) Therefore, the value d s determed to be: d A ± = A 4αB α (94) I equato (94), the sg assocated wth A 4αB eeds to be determed. To determe the sg, we check a specal case ( α = ). By lettg α =, equato (94), we have: σ σ = ± Eε Eε d (95) Whe we take the postve sg, equato (95) results : d σ σ = + = Eε Eε (96) Ths s a costat valu e ( d = ) ad, therefore, s approprate. Whe the egatve sg s assumed, we obta: d σ σ σ = = Eε Eε Eε (97) 9

42 Ths result s the same as the case of sotropc damage materal (equato (78)). Therefore, we choose the egatve sg equato (94). d A = A 4αB α (98) Thus, the devatorc d D s also determed to be: d D = αd A = α A 4αB α (99) Oce uaxal stress-stra curve as depcted Fgure 4 s gve, we correct a seres of pots ( σ,ε ), ( σ,ε ), (σ,ε ),, ( σ, ε ), ( σ +, ε + ),, o the curve, as show Fgure 5. Damage parameters ( d ad d D ) correspodg to the stress ad stra ( σ, ε ) are obtaed. Thus, by usg equatos (8) ad (8), ukow stras ε ad ε ( ε = ε ) are derved. Therefore, we ca compute the effectve stress -lke terms τ ( = Kε ) ad ( µ ε ε ) ( ) τ =. Thus, we have a seres of data d, d D, τ, τ D, ( d ), d D, τ, τ D ), (d d D, τ τ,, D,, ( d τ, τ ) d ), D D, d,, + D τ + τ + D,,, ( d + ad H ( τ, ) are derved to be: D D d D kk D j j. The scalar fuctos, H ( τ, d ) H H D d d d + ( τ, d ) = ( d < d < d, τ < τ < τ ) d& d D d D + D ( τ, d ) = ( d < d < d, τ < τ < τ ) D D & & τ & D τ τ τ + τ D + τ D D D + D + D D + D + (00) 40

43 5. Materal damage evoluto partculate composte materals-cohesve zoe model (dewettg betwee the partcles ad matrx materal) 5. Materal damage evoluto matrx materal uder the flueces of mechacal teractos of partcles- (Four partcle model wthout ambet pressure) I ths secto, we try to preset how the damage zoe develop whe partculate composte materals are loaded. Frst, we cosder a smple problem such that a block cotag four partcles s subject to teso, wth or wthout ambet pressure. I Fgure 9, a model that cotas four partcles s preseted. The fte elemet models for the s-fem aalyss are also llustrated Fgure 9. As preseted prevous chapter, the stress-stra curve of Kwo ad Lu [0] s postulated ad the relatoshp betwee the effectve stress-lke parameters ad the s are obtaed. From the results of ths smple problem, we ca clarfy the flueces of partcle arragemets ad of ambet pressure to the evoluto of matrx damage. E* = 0 E M Local Model: 98 elemets 007 odes Fgure 9 The problem of four partcles wth ad wthout the ambet pressure 5.. Isotropc damage materal wthout ambet pressure 4

44 The dstrbutos of stresses ad are preseted Fgure 0, for the levels of overall stra ε beg 0.06 ad 0.. It s see that, for ε = 0. 06, both tesle ad trasverse stresses cocetrate at the top ad bottom of the partcles. The magtude of the cocetratos seem to be slghtly severer the gaps betwee the partcles tha the other locatos. Both tesle ad trasverse stresses are postve, resulstg a large value of hydrostatc stress. Dmage zoes start to develop at the top ad bottom of the partcles. I the gaps betwee the partcles, the s slghtly larger tha the other locatos. That s very smlar to the case of stresses. ε, the major treds are smlar to the case of ε = However, materal For = 0. damage takes place almost throughout the rego of matrx materal. (a-) Tesle stress (a-) Trasverse stress (a-) Damage parameter (a) ε = (b-) Tesle stress (b-) Trasverse stress (b-) Damage parameter (b) ε = Fgure 0 The dstrbutos of the tesle ad trasverse stresses ad the damage parameter for the case of sotropc damage wthout ambet pressure Separate dlatatoal/devatorc damage materal wth α = 0. ad wthout ambet pressure 4

45 I the case of the separate dlatatoal/devatorc damage model, the dlatatoal damage s set to domate the other. I Fgure, t s see that, for ε = 0. 06, the dstrbutos of the tesle ad trasverse stresses are smlar to those of the sotropc damage case. The dstrbutos of the trasverse stress look dfferetly. That s because the rages are dfferet. The dlatatoal ad devatorc damage zoes develop at the top ad bottom of the partcles. They coect the partcles vertcal drecto. No damage develops horzotal drectos from the partcles. As expected, the dlatatoal s much larger tha the devatorc oe. Whe the level of overall stra ε creases to 0., the damage zoes elarge ad the most of part of matrx materal suffer from the materal damages. The dlatatoal s much larger tha the devatorc oe. The partcles costra the deformato of matrx materal ad the damage varables at both the sdes of the partcles are almost zero. 4

46 (a-) Tesle stress (a-) Trasverse stress (a-) Dlatatoal (a) ε = 0.06 (a-4) Devatorc (b-) Tesle stress (b-) Trasverse stress (b-) Dlatatoal (b) ε = 0. (b-4) Devatorc Fgure The dstrbutos of the tesle ad trasverse stresses ad the damage parameter for the case of the separate dlatatoal/devatorc damage model wth α = 0. ad wthout ambet pressure 5.. Separate dlatatoal/devatorc damage materal wth α = 0.99 ad wthout ambet pressure I ths case, parameter α s set to be The dstrbutos of tesle ad trasverse stresses ad the dlatatoal ad devatorc s are depcted Fgure. The dstrbutos of the stresses are smlar to afore metoed cases. Materal damages develop at the top ad bottom of the partcles where stresses are large. As show Fgures (a-), (a-4), (b-) ad (b-4), the levels of the dlatatoal ad devatorc s are smlar. Ther patters of dstrbutos are slghtly dfferet. The dlatatoal damage varable at the sdes of partcles s almost zero ad such regos coect the partcles horzotal drectos. 44

47 (a-) Tesle stress (a-) Trasverse stress (a-) Dlatatoal (a-4) Devatorc (a) ε = (b-) Tesle stress (b-) Trasverse stress (b-) Dlatatoal α = 0.99 (b) ε = 0. (b-4) Devatorc Fgure The dstrbutos of the tesle ad trasverse stresses ad the damage parameter for the case of the separate dlatatoal/devatorc damage model wth ad wthout ambet pressure 5..4 Separate dlatatoal/devatorc damage materal wth α = 0.0 ad wthout ambet pressure I ths case, the parameter α s set to be 0. It s assumed that the devatorc damage mode domates the dlatatoal oe. I Fgure, the dstrbutos of the stresses ad the s are show. The dstrbutos of stresses are smlar to afore metoed cases. The level of the devatorc s much larger tha the dlatatoal oe. 45

48 (a-) Tesle stress (a-) Trasverse stress (a-) Dlatatoal (a-4) Devatorc (a) ε = (b-) Tesle stress (b-) Trasverse stress (b-) Dlatatoal α = 0.0 (b) ε = 0. (b-4) Devatorc Fgure The dstrbutos of the tesle ad trasverse stresses ad the damage parameter for the case of the separate dlatatoal/devatorc damage model wth ad wthout ambet pressure 5..5 Summary: Separate dlatatoal/devatorc damage materal wth α = 0., 0.99 ad 0.0, ad wthout ambet pressure The dstrbutos of the tes le ad trasverse stresses ad the dlatatoal ad devatorc s are descrbed secto 5..~5..4. The stresses are large at the top ad bottom of the partcles. The regos of hgh stress coect the partcles the vertcal drecto. At the sdes of the partcles, the partcles costra matrx materal from deformato. Therefore, the s are small at the sdes of the partcles. The overall treds of dstrbutos of the dlatatoal ad devatorc damage parameters are very smlar. Therefore, t s summarzed that the choce of costtutve models (the sotropc ad the separate dlatatoal/devatorc damage models wth dfferet costat α ) does ot make much dfferece the results whe o ambet pressure loadg s appled to the block. 46

49 5. Materal damage evoluto matrx materal uder the flueces of mechacal teractos of partcles- (Four partcle model wth ambet pressure) I ths secto, the same four partcle problems are solved wth ambet pressure that s appled as dstrbuted force from the sdes of the block. The ambet pressure s 400kPa. Results (the dstrbutos of tesle ad trasverse stresses ad the dlatatoal ad devatorc s) are vsualzed for overall tesle stra ε beg 0. ad 0.5. Sce the ambet pressure s appled, Posso s rato effect produces egatve tesle stress. Thus, overall tesle stra ε s set to be 0. or 0.5 so that the tesle stress the block s almost the same as the cases of prevous secto (wthout ambet pressure). 5.. Isotropc damage materal wth ambet pressure I Fgure 4, the dstrbutos of tesle ad trasverse stre sses ad the sotropc are depcted. Major treds the dstrbutos of tesle stress are smlar to those wthout the ambet pressure. Also, major treds the dstrbutos of trasverse stress are also aalogous to those wthout the ambet pressure, except for that the value of stress s about -400 kpa at dstat pots from the partcles whereas t s about zero for the case wthout the ambet pressure. The dstrbutos of the sotropc are qute dfferet from those wthout the ambet pressure. Whe the block s subject to teso wthout the ambet pressure, the damage zoes develop at the top ad bottom of the partcles ad do ot appear at the sdes of the partcles. However, wth the ambet pressure, the damage zoes develop at the sdes of the partcles. The cocetrato of egatve stress due to ambet pressure occurs at the sdes of the partcles. That s why the damage zoes develop at the sdes of the partcles. Developmet of damage zoe due to the growth ad ucleato of mcrovods uder egatve stress are ot lkely to occur. Therefore, the use of sotropc damage costtutve model may ot be sutable for preset vestgato. 47

50 (a-) Tesle stress (a-) Trasverse stress (a-) Damage parameter (a) ε = 0. (b-) Tesle stress (b-) Trasverse stress (b-) Damage parameter (b) ε = 0.5 Fgure 4 The dstrbutos of the tesle ad trasverse stresses ad the damage parameter for the case of sotropc damage wth ambet pressure 5.. Separate dlatatoal/devatorc damage materal wth α = 0. ad wth ambet pressure The dstrbutos of tesle ad trasverse stresses ad the dlatatoal ad devatorc s are depcted Fgure 5. The dstrbutos of the stresses are smlar to those of the sotropc damage costtutve law. The dstrbutos of the s are qute terestg. The dlatatoal s very small compared wth the case wthout the ambet pressure. The dstrbutos of devatorc are almost uform wth matrx materal. The level of the devatorc s small. 48

51 (a-) Tesle stress (a-) Trasverse stress (a-) Dlatatoal (a-4) Devatorc (a) ε = 0. (b-) Tesle stress (b-) Trasverse stress (b-) Dlatatoal (b) ε = 0.5 Fgure 5 The dstrbutos of the tesle ad trasverse stresses ad the damage parameter for the case of the separate dlatatoal/devatorc damage model wth α = 0. ad wth the ambet pressure (b-4) Devatorc 5.. Separate dlatatoal/devatorc damage materal wth α = 0.99 ad wth ambet pressure The dstrbutos of tesle ad trasverse stresses ad the dlatatoal ad devatorc s are depcted Fgure 6. It s see that the dlatatoal damage parameter s much smaller tha the devatorc oe. The dstrbutos of the devatorc are aalogous to the cases of the sotropc damage costtutve law wth the ambet pressure. Ths mples that the developmet of damage the case of the sotropc damage law s govered by the devatorc stresses. 49

52 (a-) Tesle stress (a-) Trasverse stress (a-) Dlatatoal (a-4) Devatorc (a) ε = 0. (b-) Tesle stress (b-) Trasverse stress (b-) Dlatatoal Fgure 6 The dstrbutos of the tesle ad trasverse stresses ad the damage parameter for the case of the separate dlatatoal/devatorc damage model wth α = 0.99 (b) ε = 0.5 ad wth the ambet pressure (b-4) Devatorc 5..4 Separate dlatatoal/devatorc damage materal wth α = 0.0 ad wth ambet pressure The dstrbutos of tesle ad trasverse stresses ad the dlatatoal ad devatorc s are depcted Fgure 7. The dstrbutos of the stresses are smlar to those of the sotropc ad the separate dlatatoal/devatorc damage model wth the other values of parameter α. As the parameter α s set to be 0.0, the dlatatoal s much smaller tha the devatorc oe. The dstrbutos of the devatorc look smlar to prevous cases that are of the sotropc ad the dlatatoal/devatorc damage wth α = 0. ad α =

53 (a-) Tesle stress (a-) Trasverse stress (a-) Dlatatoal (a-4) Devatorc (a) ε = 0. (b-) Tesle stress (b-) Trasverse stress (b-) Dlatatoal Fgure 7 The dstrbutos of the tesle ad trasverse stresses ad the damage parameter for the case of the separate dlatatoal/devatorc damage model wth α = 0.0 (b) ε = Summary: Separate dlatatoal/devatorc damage materal wth α = 0., 0.99 ad 0.0, ad wth the ambet pressure ad wth the ambet pressure (b-4) Devatorc Results wth the ambet pressure revealed that whe the sotropc damage model s used, the progressve materal damage occurs eve uder egatve hydrostatc stress. Ths cotradcts wth our basc postulato that the damage matrx materal s due to the growth ad ucleato of mcrovods. These should ot be sestve to the devatorc stresses. Therefore, t s plausble to use the separate dlatatoal/devatorc damage model wth a small value of costat α. From preset sets of aalyses we are uable to suggest the most sutable value for α. 5. Materal damage evoluto matrx materal uder the flueces of mechacal teractos of partcles- (Ne radomly dstrbuted partcle model wth ad wthout ambet pressure) 5

54 Followg the four partcle problems, we solved a problem wth e radomly dstrbuted partcles. The problem cofgurato s depcted Fgure 8. Aga, we adopt the sotropc damage model ad the separate dlatatoal/devatorc damage costtutve model wth α = 0., α = ad α = 0. 0 ad wthout the ambet pressure.. Aalyses are carred out wth E* = 0 E M Local Model: 98 elemets 007 odes Fgure 8 The problem of oe radomly dstrbuted partcles wth ad wthout the ambet pressure 5.. Isotropc damage materal wthout dstrbuted partcle model) ambet pressure (Ne radomly The dstrbutos of tesle ad trasverse stresses ad the are preseted Fgure 9. Treds are smlar to the case of four regularly dstrbuted partcles. It s see Fgures 9 (a-) ad (b-) that the zoe of large value of the damage parameter coects the partcles whe they are close to each other. The stresses cocetrate at the top ad bottom of the partcles. The trasverse stress at the sdes of the partcles s egatve ad the zoes of egatve stress coect the partcles whe the dstaces betwee partcles are small. 5

55 (a-) Tesle stress (a-) Trasverse stress (a-) Damage parameter (a) ε = (b-) Tesle stress (b-) Trasverse stress (b-) Damage parameter (b) ε = 0. Fgure 9 The dstrbutos of the tesle ad trasverse stresses ad the damage parameter for the case of sotropc damage wthout ambet pressure (Ne radomly dstrbuted partcle model) 5.. Separate dlatatoal/devatorc damage materal wth α = 0. ad wthout ambet pressure (Ne radomly dstrbuted partcle model) The dstrbutos of tesle ad trasverse stresses ad the dlatatoal ad devatorc s are preseted Fgure 0. The overall treds are smlar to that of four regularly dstrbuted partcle case. Aga, the cocetrato of the trasverse stress s ot very clear. The value of the dlatatoal s much larger tha that of the devatorc oe. 5

56 (a-) Tesle stress (a-) Trasverse stress (a-) Dlatatoal (a-4) Devatorc (a) ε = (b-) Tesle stress (b-) Trasverse stress (b-) Dlatatoal (b-4) Devatorc α = (b) ε = 0. Fgure 0 The dstrbutos of the tesle ad trasverse stresses ad the damage parameter for the case of the separate dlatatoal/devatorc damage model wth 0. ad wthout the ambet pressure (Ne radomly dstrbuted partcle model) 5.. Separate dlatatoal/devatorc damage materal wth α = 0.99 ad wthout ambet pressure (Ne radomly dstrbuted partcle model) The dstrbutos of tesle ad trasverse stresses ad the dlatatoal ad devatorc s are depcted Fgure. The cocetratos of the trasverse stress at the top ad bottom of the partcles appear more clearly tha the case of α = 0.. The tesle stress cocetrates at the top ad bottom of the partcles as see all the other cases. The values of the dlatatoal ad devatorc s are smlar. 54

57 (a-) Tesle stress (a-) Trasverse stress (a-) Dlatatoal (a-4) Devatorc (a) ε = (b-) Tesle stress (b-) Trasverse stress (b-) Dlatatoal (b-4) Devatorc (b) ε = 0. Fgure The dstrbutos of the tesle ad trasverse stresses ad the damage parameter for the case of the separate dlatatoal/devatorc damage model wth α = 0.99 ad wthout the ambet pressure (Ne radomly dstrbuted partcle model) 5..4 Separate dlatatoal/devatorc damage materal wth α = 0.0 ad wthout ambet pressure (Ne radomly dstrbuted partcle model) The dstrbutos of tesle ad trasverse stresses ad the dlatatoal ad devatorc s are depcted Fgure. As see Fgures (a-) ad (b-), the cocetratos of the trasverse stress at the top ad bottom of the partcles are clearly see. The value of the dlatatoal s much smaller tha that of the devatorc oe. 55

58 (a-) Tesle stress (a-) Trasverse stress (a-) Dlatatoal (a-4) Devatorc (a) ε = (b-) Tesle stress (b-) Trasverse stress (b-) Dlatatoal (b-4) Devatorc (b) ε = 0. Fgure The dstrbutos of the tesle ad trasverse stresses ad the damage parameter for the case of the separate dlatatoal/devatorc damage model wth α = 0.0 ad wthout the ambet pressure (Ne radomly dstrbuted partcle model) 5..5 Isotropc damage materal wth ambet pressure (Ne radomly dstrbuted partcle model) The dstrbutos of tesle ad trasverse stresses ad the are depcted Fgure. As see the case of regularly placed four partcle problem, progressve materal damage at the sdes of the partcles are see. They are due to egatve trasverse stress. 56

59 (a-) Tesle stress (a-) Trasverse stress (a-) Damage parameter (a) ε = 0. (b-) Tesle stress (b-) Trasverse stress (b-) Damage parameter (b) ε = 0. 5 Fgure The dstrbutos of the tesle ad trasverse stresses ad the damage parameter for the case of sotropc damage wth the ambet pressure (Ne radomly dstrbuted partcle model) 5..6 Separate dlatatoal/devatorc damage materal wth α = 0. ad wth the ambet pressure (Ne radomly dstrbuted partcle model) The dstrbutos of tesle ad trasverse stresses ad the dlatatoal ad devatorc s are preseted Fgure 4. The dstrbutos of the dlatatoal ad devatorc s are qute dfferet from that of the of the sotropc damage model. Also, they look dfferetly from the case wthout the ambet pressure. It seems that the ambet pressure weakes the magtude of hydrostatc stress ad prevets the dlatatoal damage zoe from elargg matrx materal. The devatorc looks more uform tha the case wthout the ambet pressure. 57

60 (a-) Tesle stress (a-) Trasverse stress (a-) Dlatatoal (a) ε = 0. (a-4) Devatorc (b-) Tesle stress (b-) Trasverse stress (b-) Dlatatoal (b) ε = 0. 5 (b-4) Devatorc Fgure 4 The dstrbutos of the tesle ad trasverse stresses ad the damage parameter for the case of the separate dlatatoal/devatorc damage model wth α = 0. ad wth the ambet pressure (Ne radomly dstrbuted partcle model) 5..7 Separate dlatatoal/devatorc damage materal wth α = 0.99 ad wth the ambet pressure (Ne radomly dstrbuted partcle model) The dstrbutos of tesle ad trasverse stresses ad the dlatatoal ad devatorc s are preseted Fgure 5. The levels of the dlatatoal damage parameter are lower tha the case of α = 0.. I the dstrbutos of the devatorc, the cocetratos of the are see ot oly at the top ad bottom of but also at both the sdes of the partcles. It seems that the compressve stress due to the ambet pressure duces the evoluto of the devatorc damage. 58

61 (a-) Tesle stress (a-) Trasverse stress (a-) Dlatatoal (a) ε = 0. (a-4) Devatorc (b-) Tesle stress (b-) Trasverse stress (b-) Dlatatoal (b-4) Devatorc Fgure 5 The dstrbutos of the tesle ad trasverse stresses ad the damage parameter for the case of the separate dlatatoal/devatorc damage model wth α = 0.99 (b) ε = 0. 5 ad wth the ambet pressure (Ne radomly dstrbuted partcle model) 5..8 Separate dlatatoal/devatorc damage materal wth α = 0.0 ad wth the ambet pressure (Ne radomly dstrbuted partcle model) The dstrbutos of tesle ad trasverse stresses ad the dlatatoal ad devatorc s are preseted Fgure 6. The major treds are the same as the case of α = The value of the devatorc s slghtly larger tha that of α = The value of the dlatatoal s much smaller tha those of α = 0. 0 ad α =

62 (a-) Tesle stress (a-) Trasverse stress (a-) Dlatatoal (a) ε = 0. (a-4) Devatorc (b-) Tesle stress (b-) Trasverse stress (b-) Dlatatoal (b-4) Devatorc Fgure 6 The dstrbutos of the tesle ad trasverse stresses ad the damage parameter for the case of the separate dlatatoal/devatorc damage model wth α = 0.0 (b) ε = 0. 5 ad wth the ambet pressure (Ne radomly dstrbuted partcle model) 5..9 Summary: Separate dlatatoal/devatorc damage materal wth α = 0., 0.99 ad 0.0, ad wth ad wthout the ambet pressure (Ne radomly dstrbuted partcle model) From the sets of aalyses preseted secto 5., t s clearly see that the major treds the case of radomly dstrbuted partcles are the same as those the four partcle problem. However, t s see that the damage zoes coect the partcles depedg o ther dstaces. The most mportat fdg secto 5. s as follows. The results seem to be somewhat reasoable wth all the costtutve models,.e., the sotropc ad the separate dlatatoal/devatorc damage model wth α = 0., α = ad α = 0. 0 whe the ambet pressure s ot appled. However, whe the ambet pressure s appled to the block, the devatorc damage zoes develop at both the sdes of the partcles, where the hydrostatc stress s egatve. I preset study, we assume that materal damage s due to the growth ad ucleato of mcrovods matrx materal. Such materal damage s ot cosdered to take place uder egatve hydrostatc stress. 60

63 Therefore, t s approprate to use the separate dlatatoal/devatorc damage costtutve model wth a small umber of costat α. Whe the costat α s small, the cotrbuto of the devatorc damage s small relatve to that of the dlatatoal damage. 5.4 Materal damage evoluto-dewettg betwee the partcles ad matrx m ateral (cohesve zoe model) I ths secto, some prelmary results are preseted. Due to the softeg ature of the cohesve zoe model, s-fem aalyses ted to become ustable. Thus, we could ot use teratve solver to solve for the system of lear smultaeous equatos. Thus, we used a drect solver (skyle solver) the aalyses of secto 5.4, although t s ot very effcet terms of ts memory usage. It s oted that for all the other aalyses, a teratve equato solver (Cojugate Gradet Method) s used. Because of ths problem, we could place as may as four partcles. Sce the costats, t ad σ the cohesve zoe model are ot kow, postulated values are used the aalyses. We let ad t be 0.0 whch s much smaller tha the sze of the partcle out problem. σ s vared ad from small to large values relatve to the olear stress-stra curve of Fgure 6,.e., σ =50 kpa, 500 kpa, 000 kpa ad 000 kpa Oe partcle model, wthout matrx damage (wthout the ambet pressure) I ths secto, the results of oe partcle problem that s show Fgure 7 are preseted. The partcle s placed the block made of elastc materal. The costats for the cohesve zoe model are postulated to be: = 0.0, = 0. 0, σ =50 kpa, 500 kpa, 000 kpa or 000 kpa (0) t I Fgure 8, the tesle stress dstrbutos the cetral secto of the block are show for the case of σ =50 kpa. I Fgure 8 (a), the stress dstrbuto show s stress cocetratos at the top ad bottom of the partcle. The dstrbuto s very smlar to that wthout the cohesve zoe model. Ths meas that, at ths step, the cohesve zoe s almost rgd. I Fgure 8 (b), t s see that the stress cocetratos at the top ad bottom of the partcle are weaker tha those Fgure 7 (a). The cohesve zoe opes 6

64 ad the load trasmttg capablty of the cohesve zoe starts decreasg. I Fgure 8, the dstrbutos of the tesle stress for the case of The treds are smlar to those of σ σ σ =500 are show. =50. I Fgures 9 ad 40, the dstrbutos are depcted for =000 ad σ =000, respectvely. Except for Fgure 9 (b), the σ treds are very smlar to those of =50 ad =500. Due to the softeg ature of the cohesve zoe model, the aalyss suddely became ustable. That s why the stress dstrbuto Fgure 9 (b) looks asymmetrc. σ E* = 0 E M Local Model: 98 elemets 007 odes Fgure 7 Oe partcle problem wth the cohesve zoe model (a) Overall stra=0.05 Fgure 7 The dstrbutos of tesle stress for (b) Overall stra=0.074 σ =50 kpa 6

65 (a) Overall stra=0.0 Fgure 8 The dstrbutos of tesle stress for (b) Overall stra= σ =500 kpa (a) Overall stra=0.0 Fgure 9 The dstrbutos of tesle stress for (b) Overall stra=0. σ =000 kpa (a) Overall stra=0.0 Fgure 40 The dstrbutos of tesle stress for (b) Overall stra=0.95 σ =000 kpa 5.4. Oe partcle model, wth matrx damage (wthout the ambet pressure) I secto 5.4., addto to the cohesve zoe model, we assume the evoluto of 6

66 materal damage matrx materal. As see precedg sectos, the separate dlatatoal/devatorc damage model wth a small value of costat α has bee recommeded to approprately model the matrx damage due to the growth ad ucleato of mcrovods. Thus, ths secto, α s set to be 0.. The stress-stra curve of Fgure 6 s assumed to model the behavor of matrx mater al., a costat the cohesve zoe model s postulated to be 50 kpa, 500 kpa, 000 kpa or 000 kpa. σ I Fgure 4, the dstrbutos of tesle stress ad of the dlatatoal for = 50 kpa are preseted. It s cosdered that = 50 kpa s small σ compared wth the level of stress-stra curve of Fgure 6. Accordg to Fgure 6, the olear deformato of matrx materal tates at 500 kpa. The value = 50 kpa s smaller tha the stress at the tato of damage. The tesle stress dstrbuto of Fgure 4 (b) dcates that the stress cocetrato weakes due to the opeg of the cohesve zoe at the top ad bottom of the partcle. Fgure 4 (c) shows that the dlatatoal s very sm all. Therefore, whe the value of σ s small compared wth that of damage tato, the opeg of cohesve zoe occurs before the materal damage of matrx materal takes place. Therefore, the major part of the materal damage s dewettg betwee the partcle ad matrx materal. σ σ I Fgure 4, the dstrbutos of tesle stress ad the dlatatoal are show for σ = 500 kpa. I ths case, the value of σ s comparable to the stress value at the tato of matrx damage. I Fgures 4 (a) ad (c), the dstrbutos of tesle stress ad the dlatatoal at overall stra are depcted. At ths stage, the damage zoe has ot developed much. The tesle stress dstrbuto s smlar to that of elastc problem. I Fgures 4 (b) ad (d), the dstrbutos of tesle stress ad the dlatatoal damage parameter are preseted for overall stra beg The stress dstrbuto dcates that the dewettg betwee the partcle ad matrx materal s takg place. Fgure 4 (d) shows that the dlatatoal damage zoes are developg at the top ad bottom of the partcle. I ths case, both the damage modes.e., matrx damage ad dewettg betwee the partcle ad matrx take place. I Fgure 4, the dstrbutos of tesle stress ad the dlatatoal are preseted for σ = 000 kpa. From the fgures, t s see that the cohesve zoe does 64

67 ot fluece the dstrbutos of stress ad the. The cohesve zoe s so stff that t does ot ope ad materal damage due to the dewettg does ot occur. I Fgure 44, the dstrbutos are preseted for detcal to those of σ = 000 kpa. σ = 000 kpa. They are almost (a) Tesle stress at overall stra=0.05 (b) Tesle stress at overall stra=0.07 (c) Dlatatoal at overall stra=0.07 Fgure 4 The dstrbutos of tesle stress ad of the dlatatoal damage parameter for σ =50 kpa. 65

68 (a) Tesle stress at overall stra=0.04 (b) Tesle stress at overall stra=0.06 (c) Dlatatoal at overall stra=0.04 (d) Dlatatoal at overall stra=0.06 Fgure 4 The dstrbutos of tesle stress ad of the dlatatoal damage parameter for =500 kpa. σ 66

69 (a) Tesle stress at overall stra=0.06 (b) Tesle stress at overall stra=0. (c) Dlatatoal at overall stra=0.06 (d) Dlatatoal at overall stra=0. Fgure 4 The dstrbutos of tesle stress ad of the dlatatoal damage p arameter for =000 kpa. σ 67

70 (a) Tesle stress at overall stra=0.06 (b) Tesle stress at overall stra=0. (c) Dlatatoal at overall stra=0.06 Fgure 44 The dstrbutos of tesle stress ad of the dlatatoal damage parameter for =000 kpa. σ (d) Dlatatoal at overall stra= Four partcle model, wth matrx damage (wthout the ambet pressure) I ths secto, the results of aalyses o the four partcle model are preseted. The same damage costtutve law as that s used to solve the oe partcle problems s adopted (the separate dlatatoal/devatorc model wth α = 0. ). I Fgure 45, the dstrbutos of tesle stress ad the dlatatoal for σ =50 kpa are preseted. It s see the fgures that the value of the damage parameter s small although the cohesve zoes start separatg ad that the stress cocetrato at the top ad bottom of the partcles weakes due to the softeg of the cohesve zoe,.e., dewettg. I Fgure 46, the dstrbutos of tesle stress ad he dlatatoal for σ =500 kpa are depcted. I ths case, the stress at the maxmum stress at the cohesve zoe ad that at the tato of matrx damage are comparable. It s see Fgure 46 (b) that the stress cocetrato at the top ad bottom of the partcles weakes 68

71 due to both the damage mechasms. The damage zoes coect the partcles alged the vertcal drecto, as see Fgures 46 (c) ad (d). I Fgures 47 ad 48, the dstrbutos of tesle stress ad the dlatatoal damage parameter are preseted for =000 kpa ad =000 kpa, respectvely. The dstrbutos Fgures 47 ad 48 are very smlar, although the dfferet values are gve to the parameter σ σ. I both the cases of Fgures 47 ad 48, the cohesve zoes do ot gve ay flueces to the deformatos of the compostes. The cohesve zoes are stff eough that they do ot ope. σ As summary, we ca coclude that depedg o the combato of stresses at the tato of matrx damage ad at the separato of cohesve zoe. I preset aalyses, the stress-stra curve of matrx materal s postulated to be what was gve Kwa ad Lu [0] ad the parameter of cohesve zoe model that govers the stress at the separato of cohesve zoe s vared. Whe σ s set to be 50 kpa, the stress at the separato of cohesve zoe s smaller tha that at the tato of matrx damage. I such a ca se, terface separato at the cohesve zoe s the major damage mechasm of the composte. Whe s 500 kpa, the stress at the separato of cohesve zoe s comparable to that at the progress of matrx damage. Both the mechasms of materal damage take place. Whe σ s 000 kpa or 000 kpa, the terface separato at the cohesve zoe do ot occur at all. The matrx damage s the major damage mechasm. σ σ 69

72 (a) Tesle stress at overall stra=0.05 (b) Tesle stress at overall stra=0.04 (c) Dlatatoal at overall stra=0.04 Fgure 45 The dstrbutos of tesle stress ad of the dlatatoal damage parameter for =50 kpa (four-partcle problem). σ (a) Tesle stress at overall stra=0.04 (b) Tesle stress at overall stra=0.06 (c) Dlatatoal at overall stra=0.04 (d) Dlatatoal at overall stra=0.06 Fgure 46 The dstrbutos of tesle stress ad of the dlatatoal damage parameter for =500 kpa (four-partcle problem) σ 70

Introduction to local (nonparametric) density estimation. methods

Introduction to local (nonparametric) density estimation. methods Itroducto to local (oparametrc) desty estmato methods A slecture by Yu Lu for ECE 66 Sprg 014 1. Itroducto Ths slecture troduces two local desty estmato methods whch are Parze desty estmato ad k-earest

More information

Functions of Random Variables

Functions of Random Variables Fuctos of Radom Varables Chapter Fve Fuctos of Radom Varables 5. Itroducto A geeral egeerg aalyss model s show Fg. 5.. The model output (respose) cotas the performaces of a system or product, such as weght,

More information

Lecture 07: Poles and Zeros

Lecture 07: Poles and Zeros Lecture 07: Poles ad Zeros Defto of poles ad zeros The trasfer fucto provdes a bass for determg mportat system respose characterstcs wthout solvg the complete dfferetal equato. As defed, the trasfer fucto

More information

C-1: Aerodynamics of Airfoils 1 C-2: Aerodynamics of Airfoils 2 C-3: Panel Methods C-4: Thin Airfoil Theory

C-1: Aerodynamics of Airfoils 1 C-2: Aerodynamics of Airfoils 2 C-3: Panel Methods C-4: Thin Airfoil Theory ROAD MAP... AE301 Aerodyamcs I UNIT C: 2-D Arfols C-1: Aerodyamcs of Arfols 1 C-2: Aerodyamcs of Arfols 2 C-3: Pael Methods C-4: Th Arfol Theory AE301 Aerodyamcs I Ut C-3: Lst of Subects Problem Solutos?

More information

Chapter 2 - Free Vibration of Multi-Degree-of-Freedom Systems - II

Chapter 2 - Free Vibration of Multi-Degree-of-Freedom Systems - II CEE49b Chapter - Free Vbrato of Mult-Degree-of-Freedom Systems - II We ca obta a approxmate soluto to the fudametal atural frequecy through a approxmate formula developed usg eergy prcples by Lord Raylegh

More information

Derivation of 3-Point Block Method Formula for Solving First Order Stiff Ordinary Differential Equations

Derivation of 3-Point Block Method Formula for Solving First Order Stiff Ordinary Differential Equations Dervato of -Pot Block Method Formula for Solvg Frst Order Stff Ordary Dfferetal Equatos Kharul Hamd Kharul Auar, Kharl Iskadar Othma, Zara Bb Ibrahm Abstract Dervato of pot block method formula wth costat

More information

Simple Linear Regression

Simple Linear Regression Statstcal Methods I (EST 75) Page 139 Smple Lear Regresso Smple regresso applcatos are used to ft a model descrbg a lear relatoshp betwee two varables. The aspects of least squares regresso ad correlato

More information

MOLECULAR VIBRATIONS

MOLECULAR VIBRATIONS MOLECULAR VIBRATIONS Here we wsh to vestgate molecular vbratos ad draw a smlarty betwee the theory of molecular vbratos ad Hückel theory. 1. Smple Harmoc Oscllator Recall that the eergy of a oe-dmesoal

More information

ESS Line Fitting

ESS Line Fitting ESS 5 014 17. Le Fttg A very commo problem data aalyss s lookg for relatoshpetwee dfferet parameters ad fttg les or surfaces to data. The smplest example s fttg a straght le ad we wll dscuss that here

More information

Summary of the lecture in Biostatistics

Summary of the lecture in Biostatistics Summary of the lecture Bostatstcs Probablty Desty Fucto For a cotuos radom varable, a probablty desty fucto s a fucto such that: 0 dx a b) b a dx A probablty desty fucto provdes a smple descrpto of the

More information

Cubic Nonpolynomial Spline Approach to the Solution of a Second Order Two-Point Boundary Value Problem

Cubic Nonpolynomial Spline Approach to the Solution of a Second Order Two-Point Boundary Value Problem Joural of Amerca Scece ;6( Cubc Nopolyomal Sple Approach to the Soluto of a Secod Order Two-Pot Boudary Value Problem W.K. Zahra, F.A. Abd El-Salam, A.A. El-Sabbagh ad Z.A. ZAk * Departmet of Egeerg athematcs

More information

d dt d d dt dt Also recall that by Taylor series, / 2 (enables use of sin instead of cos-see p.27 of A&F) dsin

d dt d d dt dt Also recall that by Taylor series, / 2 (enables use of sin instead of cos-see p.27 of A&F) dsin Learzato of the Swg Equato We wll cover sectos.5.-.6 ad begg of Secto 3.3 these otes. 1. Sgle mache-fte bus case Cosder a sgle mache coected to a fte bus, as show Fg. 1 below. E y1 V=1./_ Fg. 1 The admttace

More information

Chapter 9 Jordan Block Matrices

Chapter 9 Jordan Block Matrices Chapter 9 Jorda Block atrces I ths chapter we wll solve the followg problem. Gve a lear operator T fd a bass R of F such that the matrx R (T) s as smple as possble. f course smple s a matter of taste.

More information

u 1 Figure 1 3D Solid Finite Elements

u 1 Figure 1 3D Solid Finite Elements Sold Elemets he Fte Elemet Lbrary of the MIDAS Famly Programs cludes the follog Sold Elemets: - ode tetrahedro, -ode petahedro, ad -ode hexahedro sho Fg.. he fte elemet formulato of all elemet types s

More information

{ }{ ( )} (, ) = ( ) ( ) ( ) Chapter 14 Exercises in Sampling Theory. Exercise 1 (Simple random sampling): Solution:

{ }{ ( )} (, ) = ( ) ( ) ( ) Chapter 14 Exercises in Sampling Theory. Exercise 1 (Simple random sampling): Solution: Chapter 4 Exercses Samplg Theory Exercse (Smple radom samplg: Let there be two correlated radom varables X ad A sample of sze s draw from a populato by smple radom samplg wthout replacemet The observed

More information

Analysis of Lagrange Interpolation Formula

Analysis of Lagrange Interpolation Formula P IJISET - Iteratoal Joural of Iovatve Scece, Egeerg & Techology, Vol. Issue, December 4. www.jset.com ISS 348 7968 Aalyss of Lagrage Iterpolato Formula Vjay Dahya PDepartmet of MathematcsMaharaja Surajmal

More information

CHAPTER VI Statistical Analysis of Experimental Data

CHAPTER VI Statistical Analysis of Experimental Data Chapter VI Statstcal Aalyss of Expermetal Data CHAPTER VI Statstcal Aalyss of Expermetal Data Measuremets do ot lead to a uque value. Ths s a result of the multtude of errors (maly radom errors) that ca

More information

ENGI 3423 Simple Linear Regression Page 12-01

ENGI 3423 Simple Linear Regression Page 12-01 ENGI 343 mple Lear Regresso Page - mple Lear Regresso ometmes a expermet s set up where the expermeter has cotrol over the values of oe or more varables X ad measures the resultg values of aother varable

More information

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS Exam: ECON430 Statstcs Date of exam: Frday, December 8, 07 Grades are gve: Jauary 4, 08 Tme for exam: 0900 am 00 oo The problem set covers 5 pages Resources allowed:

More information

Ordinary Least Squares Regression. Simple Regression. Algebra and Assumptions.

Ordinary Least Squares Regression. Simple Regression. Algebra and Assumptions. Ordary Least Squares egresso. Smple egresso. Algebra ad Assumptos. I ths part of the course we are gog to study a techque for aalysg the lear relatoshp betwee two varables Y ad X. We have pars of observatos

More information

Ahmed Elgamal. MDOF Systems & Modal Analysis

Ahmed Elgamal. MDOF Systems & Modal Analysis DOF Systems & odal Aalyss odal Aalyss (hese otes cover sectos from Ch. 0, Dyamcs of Structures, Al Chopra, Pretce Hall, 995). Refereces Dyamcs of Structures, Al K. Chopra, Pretce Hall, New Jersey, ISBN

More information

best estimate (mean) for X uncertainty or error in the measurement (systematic, random or statistical) best

best estimate (mean) for X uncertainty or error in the measurement (systematic, random or statistical) best Error Aalyss Preamble Wheever a measuremet s made, the result followg from that measuremet s always subject to ucertaty The ucertaty ca be reduced by makg several measuremets of the same quatty or by mprovg

More information

ANALYSIS ON THE NATURE OF THE BASIC EQUATIONS IN SYNERGETIC INTER-REPRESENTATION NETWORK

ANALYSIS ON THE NATURE OF THE BASIC EQUATIONS IN SYNERGETIC INTER-REPRESENTATION NETWORK Far East Joural of Appled Mathematcs Volume, Number, 2008, Pages Ths paper s avalable ole at http://www.pphm.com 2008 Pushpa Publshg House ANALYSIS ON THE NATURE OF THE ASI EQUATIONS IN SYNERGETI INTER-REPRESENTATION

More information

DIFFERENTIAL GEOMETRIC APPROACH TO HAMILTONIAN MECHANICS

DIFFERENTIAL GEOMETRIC APPROACH TO HAMILTONIAN MECHANICS DIFFERENTIAL GEOMETRIC APPROACH TO HAMILTONIAN MECHANICS Course Project: Classcal Mechacs (PHY 40) Suja Dabholkar (Y430) Sul Yeshwath (Y444). Itroducto Hamltoa mechacs s geometry phase space. It deals

More information

Lecture Notes Types of economic variables

Lecture Notes Types of economic variables Lecture Notes 3 1. Types of ecoomc varables () Cotuous varable takes o a cotuum the sample space, such as all pots o a le or all real umbers Example: GDP, Polluto cocetrato, etc. () Dscrete varables fte

More information

Lecture 3 Probability review (cont d)

Lecture 3 Probability review (cont d) STATS 00: Itroducto to Statstcal Iferece Autum 06 Lecture 3 Probablty revew (cot d) 3. Jot dstrbutos If radom varables X,..., X k are depedet, the ther dstrbuto may be specfed by specfyg the dvdual dstrbuto

More information

The Mathematical Appendix

The Mathematical Appendix The Mathematcal Appedx Defto A: If ( Λ, Ω, where ( λ λ λ whch the probablty dstrbutos,,..., Defto A. uppose that ( Λ,,..., s a expermet type, the σ-algebra o λ λ λ are defed s deoted by ( (,,...,, σ Ω.

More information

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS Postpoed exam: ECON430 Statstcs Date of exam: Jauary 0, 0 Tme for exam: 09:00 a.m. :00 oo The problem set covers 5 pages Resources allowed: All wrtte ad prted

More information

Estimation of Stress- Strength Reliability model using finite mixture of exponential distributions

Estimation of Stress- Strength Reliability model using finite mixture of exponential distributions Iteratoal Joural of Computatoal Egeerg Research Vol, 0 Issue, Estmato of Stress- Stregth Relablty model usg fte mxture of expoetal dstrbutos K.Sadhya, T.S.Umamaheswar Departmet of Mathematcs, Lal Bhadur

More information

Third handout: On the Gini Index

Third handout: On the Gini Index Thrd hadout: O the dex Corrado, a tala statstca, proposed (, 9, 96) to measure absolute equalt va the mea dfferece whch s defed as ( / ) where refers to the total umber of dvduals socet. Assume that. The

More information

STK4011 and STK9011 Autumn 2016

STK4011 and STK9011 Autumn 2016 STK4 ad STK9 Autum 6 Pot estmato Covers (most of the followg materal from chapter 7: Secto 7.: pages 3-3 Secto 7..: pages 3-33 Secto 7..: pages 35-3 Secto 7..3: pages 34-35 Secto 7.3.: pages 33-33 Secto

More information

Beam Warming Second-Order Upwind Method

Beam Warming Second-Order Upwind Method Beam Warmg Secod-Order Upwd Method Petr Valeta Jauary 6, 015 Ths documet s a part of the assessmet work for the subject 1DRP Dfferetal Equatos o Computer lectured o FNSPE CTU Prague. Abstract Ths documet

More information

2006 Jamie Trahan, Autar Kaw, Kevin Martin University of South Florida United States of America

2006 Jamie Trahan, Autar Kaw, Kevin Martin University of South Florida United States of America SOLUTION OF SYSTEMS OF SIMULTANEOUS LINEAR EQUATIONS Gauss-Sedel Method 006 Jame Traha, Autar Kaw, Kev Mart Uversty of South Florda Uted States of Amerca kaw@eg.usf.edu Itroducto Ths worksheet demostrates

More information

12.2 Estimating Model parameters Assumptions: ox and y are related according to the simple linear regression model

12.2 Estimating Model parameters Assumptions: ox and y are related according to the simple linear regression model 1. Estmatg Model parameters Assumptos: ox ad y are related accordg to the smple lear regresso model (The lear regresso model s the model that says that x ad y are related a lear fasho, but the observed

More information

Analysis of Variance with Weibull Data

Analysis of Variance with Weibull Data Aalyss of Varace wth Webull Data Lahaa Watthaacheewaul Abstract I statstcal data aalyss by aalyss of varace, the usual basc assumptos are that the model s addtve ad the errors are radomly, depedetly, ad

More information

Solving Constrained Flow-Shop Scheduling. Problems with Three Machines

Solving Constrained Flow-Shop Scheduling. Problems with Three Machines It J Cotemp Math Sceces, Vol 5, 2010, o 19, 921-929 Solvg Costraed Flow-Shop Schedulg Problems wth Three Maches P Pada ad P Rajedra Departmet of Mathematcs, School of Advaced Sceces, VIT Uversty, Vellore-632

More information

Simple Linear Regression

Simple Linear Regression Correlato ad Smple Lear Regresso Berl Che Departmet of Computer Scece & Iformato Egeerg Natoal Tawa Normal Uversty Referece:. W. Navd. Statstcs for Egeerg ad Scetsts. Chapter 7 (7.-7.3) & Teachg Materal

More information

Chapter 14 Logistic Regression Models

Chapter 14 Logistic Regression Models Chapter 4 Logstc Regresso Models I the lear regresso model X β + ε, there are two types of varables explaatory varables X, X,, X k ad study varable y These varables ca be measured o a cotuous scale as

More information

Lecture Note to Rice Chapter 8

Lecture Note to Rice Chapter 8 ECON 430 HG revsed Nov 06 Lecture Note to Rce Chapter 8 Radom matrces Let Y, =,,, m, =,,, be radom varables (r.v. s). The matrx Y Y Y Y Y Y Y Y Y Y = m m m s called a radom matrx ( wth a ot m-dmesoal dstrbuto,

More information

Lecture 2 - What are component and system reliability and how it can be improved?

Lecture 2 - What are component and system reliability and how it can be improved? Lecture 2 - What are compoet ad system relablty ad how t ca be mproved? Relablty s a measure of the qualty of the product over the log ru. The cocept of relablty s a exteded tme perod over whch the expected

More information

Ideal multigrades with trigonometric coefficients

Ideal multigrades with trigonometric coefficients Ideal multgrades wth trgoometrc coeffcets Zarathustra Brady December 13, 010 1 The problem A (, k) multgrade s defed as a par of dstct sets of tegers such that (a 1,..., a ; b 1,..., b ) a j = =1 for all

More information

TESTS BASED ON MAXIMUM LIKELIHOOD

TESTS BASED ON MAXIMUM LIKELIHOOD ESE 5 Toy E. Smth. The Basc Example. TESTS BASED ON MAXIMUM LIKELIHOOD To llustrate the propertes of maxmum lkelhood estmates ad tests, we cosder the smplest possble case of estmatg the mea of the ormal

More information

Block-Based Compact Thermal Modeling of Semiconductor Integrated Circuits

Block-Based Compact Thermal Modeling of Semiconductor Integrated Circuits Block-Based Compact hermal Modelg of Semcoductor Itegrated Crcuts Master s hess Defese Caddate: Jg Ba Commttee Members: Dr. Mg-Cheg Cheg Dr. Daqg Hou Dr. Robert Schllg July 27, 2009 Outle Itroducto Backgroud

More information

L5 Polynomial / Spline Curves

L5 Polynomial / Spline Curves L5 Polyomal / Sple Curves Cotets Coc sectos Polyomal Curves Hermte Curves Bezer Curves B-Sples No-Uform Ratoal B-Sples (NURBS) Mapulato ad Represetato of Curves Types of Curve Equatos Implct: Descrbe a

More information

UNIT 2 SOLUTION OF ALGEBRAIC AND TRANSCENDENTAL EQUATIONS

UNIT 2 SOLUTION OF ALGEBRAIC AND TRANSCENDENTAL EQUATIONS Numercal Computg -I UNIT SOLUTION OF ALGEBRAIC AND TRANSCENDENTAL EQUATIONS Structure Page Nos..0 Itroducto 6. Objectves 7. Ital Approxmato to a Root 7. Bsecto Method 8.. Error Aalyss 9.4 Regula Fals Method

More information

F. Inequalities. HKAL Pure Mathematics. 進佳數學團隊 Dr. Herbert Lam 林康榮博士. [Solution] Example Basic properties

F. Inequalities. HKAL Pure Mathematics. 進佳數學團隊 Dr. Herbert Lam 林康榮博士. [Solution] Example Basic properties 進佳數學團隊 Dr. Herbert Lam 林康榮博士 HKAL Pure Mathematcs F. Ieualtes. Basc propertes Theorem Let a, b, c be real umbers. () If a b ad b c, the a c. () If a b ad c 0, the ac bc, but f a b ad c 0, the ac bc. Theorem

More information

Investigating Cellular Automata

Investigating Cellular Automata Researcher: Taylor Dupuy Advsor: Aaro Wootto Semester: Fall 4 Ivestgatg Cellular Automata A Overvew of Cellular Automata: Cellular Automata are smple computer programs that geerate rows of black ad whte

More information

[ L] υ = (3) [ L] n. Q: What are the units of K in Eq. (3)? (Why is units placed in quotations.) What is the relationship to K in Eq. (1)?

[ L] υ = (3) [ L] n. Q: What are the units of K in Eq. (3)? (Why is units placed in quotations.) What is the relationship to K in Eq. (1)? Chem 78 Spr. M. Wes Bdg Polyomals Bdg Polyomals We ve looked at three cases of lgad bdg so far: The sgle set of depedet stes (ss[]s [ ] [ ] Multple sets of depedet stes (ms[]s, or m[]ss All or oe, or two-state

More information

ECE 595, Section 10 Numerical Simulations Lecture 19: FEM for Electronic Transport. Prof. Peter Bermel February 22, 2013

ECE 595, Section 10 Numerical Simulations Lecture 19: FEM for Electronic Transport. Prof. Peter Bermel February 22, 2013 ECE 595, Secto 0 Numercal Smulatos Lecture 9: FEM for Electroc Trasport Prof. Peter Bermel February, 03 Outle Recap from Wedesday Physcs-based devce modelg Electroc trasport theory FEM electroc trasport

More information

EVALUATION OF FUNCTIONAL INTEGRALS BY MEANS OF A SERIES AND THE METHOD OF BOREL TRANSFORM

EVALUATION OF FUNCTIONAL INTEGRALS BY MEANS OF A SERIES AND THE METHOD OF BOREL TRANSFORM EVALUATION OF FUNCTIONAL INTEGRALS BY MEANS OF A SERIES AND THE METHOD OF BOREL TRANSFORM Jose Javer Garca Moreta Ph. D research studet at the UPV/EHU (Uversty of Basque coutry) Departmet of Theoretcal

More information

FREQUENCY ANALYSIS OF A DOUBLE-WALLED NANOTUBES SYSTEM

FREQUENCY ANALYSIS OF A DOUBLE-WALLED NANOTUBES SYSTEM Joural of Appled Matematcs ad Computatoal Mecacs 04, 3(4), 7-34 FREQUENCY ANALYSIS OF A DOUBLE-WALLED NANOTUBES SYSTEM Ata Cekot, Stasław Kukla Isttute of Matematcs, Czestocowa Uversty of Tecology Częstocowa,

More information

STA 108 Applied Linear Models: Regression Analysis Spring Solution for Homework #1

STA 108 Applied Linear Models: Regression Analysis Spring Solution for Homework #1 STA 08 Appled Lear Models: Regresso Aalyss Sprg 0 Soluto for Homework #. Let Y the dollar cost per year, X the umber of vsts per year. The the mathematcal relato betwee X ad Y s: Y 300 + X. Ths s a fuctoal

More information

Lecture 3. Sampling, sampling distributions, and parameter estimation

Lecture 3. Sampling, sampling distributions, and parameter estimation Lecture 3 Samplg, samplg dstrbutos, ad parameter estmato Samplg Defto Populato s defed as the collecto of all the possble observatos of terest. The collecto of observatos we take from the populato s called

More information

Manipulator Dynamics. Amirkabir University of Technology Computer Engineering & Information Technology Department

Manipulator Dynamics. Amirkabir University of Technology Computer Engineering & Information Technology Department Mapulator Dyamcs mrkabr Uversty of echology omputer Egeerg formato echology Departmet troducto obot arm dyamcs deals wth the mathematcal formulatos of the equatos of robot arm moto. hey are useful as:

More information

Descriptive Statistics

Descriptive Statistics Page Techcal Math II Descrptve Statstcs Descrptve Statstcs Descrptve statstcs s the body of methods used to represet ad summarze sets of data. A descrpto of how a set of measuremets (for eample, people

More information

CHAPTER 4 RADICAL EXPRESSIONS

CHAPTER 4 RADICAL EXPRESSIONS 6 CHAPTER RADICAL EXPRESSIONS. The th Root of a Real Number A real umber a s called the th root of a real umber b f Thus, for example: s a square root of sce. s also a square root of sce ( ). s a cube

More information

THE ROYAL STATISTICAL SOCIETY HIGHER CERTIFICATE

THE ROYAL STATISTICAL SOCIETY HIGHER CERTIFICATE THE ROYAL STATISTICAL SOCIETY 00 EXAMINATIONS SOLUTIONS HIGHER CERTIFICATE PAPER I STATISTICAL THEORY The Socety provdes these solutos to assst caddates preparg for the examatos future years ad for the

More information

PGE 310: Formulation and Solution in Geosystems Engineering. Dr. Balhoff. Interpolation

PGE 310: Formulation and Solution in Geosystems Engineering. Dr. Balhoff. Interpolation PGE 30: Formulato ad Soluto Geosystems Egeerg Dr. Balhoff Iterpolato Numercal Methods wth MATLAB, Recktewald, Chapter 0 ad Numercal Methods for Egeers, Chapra ad Caale, 5 th Ed., Part Fve, Chapter 8 ad

More information

The conformations of linear polymers

The conformations of linear polymers The coformatos of lear polymers Marc R. Roussel Departmet of Chemstry ad Bochemstry Uversty of Lethbrdge February 19, 9 Polymer scece s a rch source of problems appled statstcs ad statstcal mechacs. I

More information

Centroids & Moments of Inertia of Beam Sections

Centroids & Moments of Inertia of Beam Sections RCH 614 Note Set 8 S017ab Cetrods & Momets of erta of Beam Sectos Notato: b C d d d Fz h c Jo L O Q Q = ame for area = ame for a (base) wdth = desgato for chael secto = ame for cetrod = calculus smbol

More information

Department of Agricultural Economics. PhD Qualifier Examination. August 2011

Department of Agricultural Economics. PhD Qualifier Examination. August 2011 Departmet of Agrcultural Ecoomcs PhD Qualfer Examato August 0 Istructos: The exam cossts of sx questos You must aswer all questos If you eed a assumpto to complete a questo, state the assumpto clearly

More information

Correlation and Regression Analysis

Correlation and Regression Analysis Chapter V Correlato ad Regresso Aalss R. 5.. So far we have cosdered ol uvarate dstrbutos. Ma a tme, however, we come across problems whch volve two or more varables. Ths wll be the subject matter of the

More information

Simulation Output Analysis

Simulation Output Analysis Smulato Output Aalyss Summary Examples Parameter Estmato Sample Mea ad Varace Pot ad Iterval Estmato ermatg ad o-ermatg Smulato Mea Square Errors Example: Sgle Server Queueg System x(t) S 4 S 4 S 3 S 5

More information

4. Standard Regression Model and Spatial Dependence Tests

4. Standard Regression Model and Spatial Dependence Tests 4. Stadard Regresso Model ad Spatal Depedece Tests Stadard regresso aalss fals the presece of spatal effects. I case of spatal depedeces ad/or spatal heterogeet a stadard regresso model wll be msspecfed.

More information

Numerical Simulations of the Complex Modied Korteweg-de Vries Equation. Thiab R. Taha. The University of Georgia. Abstract

Numerical Simulations of the Complex Modied Korteweg-de Vries Equation. Thiab R. Taha. The University of Georgia. Abstract Numercal Smulatos of the Complex Moded Korteweg-de Vres Equato Thab R. Taha Computer Scece Departmet The Uversty of Georga Athes, GA 002 USA Tel 0-542-2911 e-mal thab@cs.uga.edu Abstract I ths paper mplemetatos

More information

Lecture 7. Confidence Intervals and Hypothesis Tests in the Simple CLR Model

Lecture 7. Confidence Intervals and Hypothesis Tests in the Simple CLR Model Lecture 7. Cofdece Itervals ad Hypothess Tests the Smple CLR Model I lecture 6 we troduced the Classcal Lear Regresso (CLR) model that s the radom expermet of whch the data Y,,, K, are the outcomes. The

More information

2C09 Design for seismic and climate changes

2C09 Design for seismic and climate changes 2C09 Desg for sesmc ad clmate chages Lecture 08: Sesmc aalyss of elastc MDOF systems Aurel Strata, Poltehca Uversty of Tmsoara 06/04/2017 Europea Erasmus Mudus Master Course Sustaable Costructos uder atural

More information

Analysis of von Kármán plates using a BEM formulation

Analysis of von Kármán plates using a BEM formulation Boudary Elemets ad Other Mesh Reducto Methods XXIX 213 Aalyss of vo Kármá plates usg a BEM formulato L. Wademam & W. S. Vetur São Carlos School of Egeerg, Uversty of São Paulo, Brazl Abstract Ths work

More information

Multiple Regression. More than 2 variables! Grade on Final. Multiple Regression 11/21/2012. Exam 2 Grades. Exam 2 Re-grades

Multiple Regression. More than 2 variables! Grade on Final. Multiple Regression 11/21/2012. Exam 2 Grades. Exam 2 Re-grades STAT 101 Dr. Kar Lock Morga 11/20/12 Exam 2 Grades Multple Regresso SECTIONS 9.2, 10.1, 10.2 Multple explaatory varables (10.1) Parttog varablty R 2, ANOVA (9.2) Codtos resdual plot (10.2) Trasformatos

More information

Evaluating Polynomials

Evaluating Polynomials Uverst of Nebraska - Lcol DgtalCommos@Uverst of Nebraska - Lcol MAT Exam Expostor Papers Math the Mddle Isttute Partershp 7-7 Evaluatg Polomals Thomas J. Harrgto Uverst of Nebraska-Lcol Follow ths ad addtoal

More information

A New Family of Transformations for Lifetime Data

A New Family of Transformations for Lifetime Data Proceedgs of the World Cogress o Egeerg 4 Vol I, WCE 4, July - 4, 4, Lodo, U.K. A New Famly of Trasformatos for Lfetme Data Lakhaa Watthaacheewakul Abstract A famly of trasformatos s the oe of several

More information

CHAPTER 3 POSTERIOR DISTRIBUTIONS

CHAPTER 3 POSTERIOR DISTRIBUTIONS CHAPTER 3 POSTERIOR DISTRIBUTIONS If scece caot measure the degree of probablt volved, so much the worse for scece. The practcal ma wll stck to hs apprecatve methods utl t does, or wll accept the results

More information

G S Power Flow Solution

G S Power Flow Solution G S Power Flow Soluto P Q I y y * 0 1, Y y Y 0 y Y Y 1, P Q ( k) ( k) * ( k 1) 1, Y Y PQ buses * 1 P Q Y ( k1) *( k) ( k) Q Im[ Y ] 1 P buses & Slack bus ( k 1) *( k) ( k) Y 1 P Re[ ] Slack bus 17 Calculato

More information

Numerical Analysis Formulae Booklet

Numerical Analysis Formulae Booklet Numercal Aalyss Formulae Booklet. Iteratve Scemes for Systems of Lear Algebrac Equatos:.... Taylor Seres... 3. Fte Dfferece Approxmatos... 3 4. Egevalues ad Egevectors of Matrces.... 3 5. Vector ad Matrx

More information

Lecture 9: Tolerant Testing

Lecture 9: Tolerant Testing Lecture 9: Tolerat Testg Dael Kae Scrbe: Sakeerth Rao Aprl 4, 07 Abstract I ths lecture we prove a quas lear lower boud o the umber of samples eeded to do tolerat testg for L dstace. Tolerat Testg We have

More information

Some Notes on the Probability Space of Statistical Surveys

Some Notes on the Probability Space of Statistical Surveys Metodološk zvezk, Vol. 7, No., 200, 7-2 ome Notes o the Probablty pace of tatstcal urveys George Petrakos Abstract Ths paper troduces a formal presetato of samplg process usg prcples ad cocepts from Probablty

More information

RECURSIVE FORMULATION FOR MULTIBODY DYNAMICS

RECURSIVE FORMULATION FOR MULTIBODY DYNAMICS ultbody Dyamcs Lecture Uversty of okyo, Japa Dec. 8, 25 RECURSIVE FORULAION FOR ULIODY DYNAICS Lecturer: Sug-Soo m Professor, Dept. of echatrocs Egeerg, orea Vstg Professor, Ceter for Collaboratve Research

More information

Analysis of System Performance IN2072 Chapter 5 Analysis of Non Markov Systems

Analysis of System Performance IN2072 Chapter 5 Analysis of Non Markov Systems Char for Network Archtectures ad Servces Prof. Carle Departmet of Computer Scece U Müche Aalyss of System Performace IN2072 Chapter 5 Aalyss of No Markov Systems Dr. Alexader Kle Prof. Dr.-Ig. Georg Carle

More information

Overview of the weighting constants and the points where we evaluate the function for The Gaussian quadrature Project two

Overview of the weighting constants and the points where we evaluate the function for The Gaussian quadrature Project two Overvew of the weghtg costats ad the pots where we evaluate the fucto for The Gaussa quadrature Project two By Ashraf Marzouk ChE 505 Fall 005 Departmet of Mechacal Egeerg Uversty of Teessee Koxvlle, TN

More information

Statistics MINITAB - Lab 5

Statistics MINITAB - Lab 5 Statstcs 10010 MINITAB - Lab 5 PART I: The Correlato Coeffcet Qute ofte statstcs we are preseted wth data that suggests that a lear relatoshp exsts betwee two varables. For example the plot below s of

More information

C.11 Bang-bang Control

C.11 Bang-bang Control Itroucto to Cotrol heory Iclug Optmal Cotrol Nguye a e -.5 C. Bag-bag Cotrol. Itroucto hs chapter eals wth the cotrol wth restrctos: s boue a mght well be possble to have scotutes. o llustrate some of

More information

Assignment 5/MATH 247/Winter Due: Friday, February 19 in class (!) (answers will be posted right after class)

Assignment 5/MATH 247/Winter Due: Friday, February 19 in class (!) (answers will be posted right after class) Assgmet 5/MATH 7/Wter 00 Due: Frday, February 9 class (!) (aswers wll be posted rght after class) As usual, there are peces of text, before the questos [], [], themselves. Recall: For the quadratc form

More information

Multiple Choice Test. Chapter Adequacy of Models for Regression

Multiple Choice Test. Chapter Adequacy of Models for Regression Multple Choce Test Chapter 06.0 Adequac of Models for Regresso. For a lear regresso model to be cosdered adequate, the percetage of scaled resduals that eed to be the rage [-,] s greater tha or equal to

More information

Chapter 3 Sampling For Proportions and Percentages

Chapter 3 Sampling For Proportions and Percentages Chapter 3 Samplg For Proportos ad Percetages I may stuatos, the characterstc uder study o whch the observatos are collected are qualtatve ature For example, the resposes of customers may marketg surveys

More information

Mean is only appropriate for interval or ratio scales, not ordinal or nominal.

Mean is only appropriate for interval or ratio scales, not ordinal or nominal. Mea Same as ordary average Sum all the data values ad dvde by the sample sze. x = ( x + x +... + x Usg summato otato, we wrte ths as x = x = x = = ) x Mea s oly approprate for terval or rato scales, ot

More information

An Introduction to. Support Vector Machine

An Introduction to. Support Vector Machine A Itroducto to Support Vector Mache Support Vector Mache (SVM) A classfer derved from statstcal learg theory by Vapk, et al. 99 SVM became famous whe, usg mages as put, t gave accuracy comparable to eural-etwork

More information

THE ROYAL STATISTICAL SOCIETY 2016 EXAMINATIONS SOLUTIONS HIGHER CERTIFICATE MODULE 5

THE ROYAL STATISTICAL SOCIETY 2016 EXAMINATIONS SOLUTIONS HIGHER CERTIFICATE MODULE 5 THE ROYAL STATISTICAL SOCIETY 06 EAMINATIONS SOLUTIONS HIGHER CERTIFICATE MODULE 5 The Socety s provdg these solutos to assst cadtes preparg for the examatos 07. The solutos are teded as learg ads ad should

More information

Physics 114 Exam 2 Fall Name:

Physics 114 Exam 2 Fall Name: Physcs 114 Exam Fall 015 Name: For gradg purposes (do ot wrte here): Questo 1. 1... 3. 3. Problem Aswer each of the followg questos. Pots for each questo are dcated red. Uless otherwse dcated, the amout

More information

Fourth Order Four-Stage Diagonally Implicit Runge-Kutta Method for Linear Ordinary Differential Equations ABSTRACT INTRODUCTION

Fourth Order Four-Stage Diagonally Implicit Runge-Kutta Method for Linear Ordinary Differential Equations ABSTRACT INTRODUCTION Malasa Joural of Mathematcal Sceces (): 95-05 (00) Fourth Order Four-Stage Dagoall Implct Ruge-Kutta Method for Lear Ordar Dfferetal Equatos Nur Izzat Che Jawas, Fudzah Ismal, Mohamed Sulema, 3 Azm Jaafar

More information

AN EULER-MC LAURIN FORMULA FOR INFINITE DIMENSIONAL SPACES

AN EULER-MC LAURIN FORMULA FOR INFINITE DIMENSIONAL SPACES AN EULER-MC LAURIN FORMULA FOR INFINITE DIMENSIONAL SPACES Jose Javer Garca Moreta Graduate Studet of Physcs ( Sold State ) at UPV/EHU Address: P.O 6 890 Portugalete, Vzcaya (Spa) Phoe: (00) 3 685 77 16

More information

A Combination of Adaptive and Line Intercept Sampling Applicable in Agricultural and Environmental Studies

A Combination of Adaptive and Line Intercept Sampling Applicable in Agricultural and Environmental Studies ISSN 1684-8403 Joural of Statstcs Volume 15, 008, pp. 44-53 Abstract A Combato of Adaptve ad Le Itercept Samplg Applcable Agrcultural ad Evrometal Studes Azmer Kha 1 A adaptve procedure s descrbed for

More information

arxiv:math/ v1 [math.gm] 8 Dec 2005

arxiv:math/ v1 [math.gm] 8 Dec 2005 arxv:math/05272v [math.gm] 8 Dec 2005 A GENERALIZATION OF AN INEQUALITY FROM IMO 2005 NIKOLAI NIKOLOV The preset paper was spred by the thrd problem from the IMO 2005. A specal award was gve to Yure Boreko

More information

The number of observed cases The number of parameters. ith case of the dichotomous dependent variable. the ith case of the jth parameter

The number of observed cases The number of parameters. ith case of the dichotomous dependent variable. the ith case of the jth parameter LOGISTIC REGRESSION Notato Model Logstc regresso regresses a dchotomous depedet varable o a set of depedet varables. Several methods are mplemeted for selectg the depedet varables. The followg otato s

More information

ECE606: Solid State Devices Lecture 13 Solutions of the Continuity Eqs. Analytical & Numerical

ECE606: Solid State Devices Lecture 13 Solutions of the Continuity Eqs. Analytical & Numerical ECE66: Sold State Devces Lecture 13 Solutos of the Cotuty Eqs. Aalytcal & Numercal Gerhard Klmeck gekco@purdue.edu Outle Aalytcal Solutos to the Cotuty Equatos 1) Example problems ) Summary Numercal Solutos

More information

MMJ 1113 FINITE ELEMENT METHOD Introduction to PART I

MMJ 1113 FINITE ELEMENT METHOD Introduction to PART I MMJ FINITE EEMENT METHOD Cotut requremets Assume that the fuctos appearg uder the tegral the elemet equatos cota up to (r) th order To esure covergece N must satsf Compatblt requremet the fuctos must have

More information

General Method for Calculating Chemical Equilibrium Composition

General Method for Calculating Chemical Equilibrium Composition AE 6766/Setzma Sprg 004 Geeral Metod for Calculatg Cemcal Equlbrum Composto For gve tal codtos (e.g., for gve reactats, coose te speces to be cluded te products. As a example, for combusto of ydroge wt

More information

Special Instructions / Useful Data

Special Instructions / Useful Data JAM 6 Set of all real umbers P A..d. B, p Posso Specal Istructos / Useful Data x,, :,,, x x Probablty of a evet A Idepedetly ad detcally dstrbuted Bomal dstrbuto wth parameters ad p Posso dstrbuto wth

More information

1 Lyapunov Stability Theory

1 Lyapunov Stability Theory Lyapuov Stablty heory I ths secto we cosder proofs of stablty of equlbra of autoomous systems. hs s stadard theory for olear systems, ad oe of the most mportat tools the aalyss of olear systems. It may

More information

( ) = ( ) ( ) Chapter 13 Asymptotic Theory and Stochastic Regressors. Stochastic regressors model

( ) = ( ) ( ) Chapter 13 Asymptotic Theory and Stochastic Regressors. Stochastic regressors model Chapter 3 Asmptotc Theor ad Stochastc Regressors The ature of eplaator varable s assumed to be o-stochastc or fed repeated samples a regresso aalss Such a assumpto s approprate for those epermets whch

More information

Entropy ISSN by MDPI

Entropy ISSN by MDPI Etropy 2003, 5, 233-238 Etropy ISSN 1099-4300 2003 by MDPI www.mdp.org/etropy O the Measure Etropy of Addtve Cellular Automata Hasa Aı Arts ad Sceces Faculty, Departmet of Mathematcs, Harra Uversty; 63100,

More information