Numerical modelling of quasi-brittle fracture with the rate-dependent multiple embedded discontinuity approach
|
|
- Aubrey Booth
- 5 years ago
- Views:
Transcription
1 Ra Maa Joural of Srucural Mchacs Vol. 49 o pp rmsura..f/rmlh/ Th Auhors 206. Op accss ur CC BY-SA 4.0 lcs. umrcal mollg of quas-brl fracur wh h ra-p mulpl mb scouy approach Tmo Sasala Summary. Ths arcl als wh 2D umrcal mollg of fracur quas-brl marals. For hs a ra-p mulpl mb scouy mol s vlop o smula quas-brl fracur wh h f lms cox. I h prs mofcao of h mb scouy approach h scous ar pr-mb bfor h aalyss o ach f lm of h msh. Wh h chos cosa sra ragl lm hs rsuls hr scouy ls ach or paralll o h ss of h ragl lm. Each scouy l has s ow splacm ump a loag surfac. Th splacm umps a lmal srsss ar smulaously solv wh h mulsurfac plascy chqus. Ra-pcy s corpora wh h vscoplasc cosscy approach. Th global quaos of moo ar solv m by xplc m grao. Th mol prformac s mosra umrcal xampls whr h uaxal so a comprsso ss ar smula. Ky wors: brl fracur mulpl mb scous umrcal mollg FEM Rcv 22 Spmbr 205. Accp 4 Jauary 206. Publsh ol 9 Dcmbr 206. I mmory of Profssor Juha Kos Irouco umrcal mollg of quas-brl fracur has b gag crasg rs urg h las fw cas u o s mporac may fls of grg such as cocr srucurs a gochcal aalyss. May umrcal cos bas o h f lm a h scr lm mhos hav b vlop o smula h brl fracur. For a rvw o compuaoal mhos for fracur brl a quas-brl sols s []. Th maor challg such aalyss s h umrcal mollg of crac propagao. A promsg umrcal chqu o scrb crac propagao s h mb scouy approach [2-5]. Ths chqus allow hr a sra wa or splacm srog scouy s a f lm. Ths s achv by 25
2 hacm of h sra or splacm fl orr o capur h scouy. Sasala [6] succssfully appl hs mho for umrcal mollg of roc fracur. A clos rlav of hs mho s h x f lm mho XFEM whch rchs h lm rpolao oal bass by xplog h paro of uy propry [7]. Howvr h mb scouy approach s chos hs papr bcaus has a compuaoal avaag ovr h XFEM u o h complly local aur of h rqur hacms whl offrg h sam of accuracy a covrgc. Parcularly h aoal grs of from rprsg h splacm or sra ump ca b lma by sac cosao. Morovr h aoal grs of from ar global h XFEM a hus cras urg h propagao of scouy. I h usual applcao of h mb scouy mho for quas-sac aalyss sgl mb scouy a crac wh a ormal paralll o h frs prcpal rco of h srss sor s rouc urg h aalyss o a f lm wh h frs prcpal srss xcs h sl srgh of h maral. A vara mplmao bas o mulpl or rscg scous mb succssvly paralll o lm facs gs s propos [8]. Mulpl scous approach ffcvly allvas h srss locg a sprag problms ypcal for mb scouy approach as show [9 0]. Th mplmao of mulpl scous paralll o lm gs s smlar o h classcal rfac or cohsv zo lms mho bu cosrably smplr a compuaoally mor ffc as hr cohsv zo lms rqurg uplcao of msh os or coac rfacs ar upo closg cracs. I h prs papr a mofcao of h mulpl scous approach whr h scous ar mb bfor h aalyss paralll o h gs of h cosa sra lm CST s prs a appl o smulao of roc fracur. Each scouy has s ow ra p loag surfac so ha h compuaoal mulsurfac chqus ca b mploy solvg for h splacm umps a lm srsss. Ra-pcy s rouc for umrcal sably rasos wh h vscoplasc cosscy approach. Th mol prformac s mosra 2D umrcal xampls of roc comprsso a so ss solvg h quaos of moo xplcly m. Thory of h mol Th hory of h prs mol s prs hs sco. Frs h srog scouy macs s brfly scrb. Th h f lm mplmao of h mb scouy macs s prs. Fally h mulpl mb scouy mol s summarz a h soluo mho for h splacm umps s oul. Srog scouy macs A boy occupyg oma Ω R 2 wh a bouary Ω s Fgur s spl o wo so pars Ω a Ω by a srog scouy l f by s ormal a 26
3 ag m. Th splacm a sra fl assumg fsmal formao ca b compos as a fuco of h locao x Ω as s whr s h mrc par of h gra opraor u x rprss h splacm fl whou h scouy u x s h splacm ump a u o scouy a H x s h Havs fuco a h scouy. Fuco ϕx s f a suboma wh u x u x s ε x u x Ω ϕ Ωϕ Ωϕ so ha x 0 ϕ wh x Ω \ Ωϕ ϕ x x Ω \ Ωϕ wh \ sgfyg h s horc ffrc a s C 0 -coous bw 0 a wh x Ω. Th raso for usg h composo sa of ϕ H x x ϕ u x h aural o wh ϕ x 0 s ha boh ux a u x may b ozro a h bouary Ω whch mas ha hr ffc shoul b a o cosrao h f lm cox wh mposg h ssal bouary coos. I s mor cov o us composo as fuco M x apparg Equao rsrcs h ffc of h splacm ump o suboma M x u x ϕ x δ x u x Ω ϕ. Fgur. Doma cross by a scouy l. Morovr h rsul H δ o Drac la fuco δ a cosa splacm ump assumpo ylg s u 0 wr us h rvao of h sra. F lm mplmao of srog scouy macs As h boy Fgur s scrz wh h CST lms h mb scouy bcoms a sragh l s a lm as s llusra Fgur 2. Th FE vrso of Equao ras u u sol H sol ε u δ ε M 27 ε 2
4 whr h splacm ump s o by whl a u ar h saar lar wh CST rpolao fucos a oal splacms 23 wh summao o rpa cs rspcvly. I s o ha h pcy of h quas o h placm vcor x Equao a hcforh ar om for brvy of oaos. Fgur 2. CST lm wh a scouy l a fuco paralll o lm ss c. M b a hr scous Thus h f lm cox fuco ϕ Equao s f wh h rpolao fuco sol rla o h solary o s sol wh s suppor bg a sgl lm. Fally s o ha accorg o h hac assum sras EAS cocp h rms comprsg h scrz sra ca b f as h compabl par ε a h hac par ε [8]. Th FE scrz vrso of h wa form of h balac of lar momum ca b oba by saar argums a s o show hr. Th varao of h hac par of h sra s Equao 2 s bas o h EAS cocp whr h hac mos ar cosruc h sra spac orhogoal o h srss fl. Applyg h EAS cocp a h Prov-Galr formulao h varao of h hac sra a h L2-orhogoaly coo ca b wr as [8] δ ε β A Ω δ ε : σω 0 β l δ 3 whr β R 2 os a arbrary varao of h splacm ump A s h ara of a f lm a l s h lgh of a scouy. Subsuo of δ ε o h sco quao Equao 3 gvs afr som mapulaos A Ω \ σ Ω 0 l Wh h CST lm hs quao rprsg ssally a wa form of raco couy bcoms also h local srog form of raco couy.. σ 4 28
5 29 sc h gras Equao 4 ar cosas. Ths EAS cocp bas formulao provs a vry smpl mplmao whr hr h xplc poso of h scouy l wh h lm or s lgh s cssary o b ow. Ra p mulpl mb scouy mol A hr-surfac rscg scouy mol s prs hr. As mo Irouco h scous ar plac o ach lm of h msh paralll o lm ss as llusra Fgur 2c. Thrby h u ormal for ach scouy s calcula as whr s h rpolao fuco of o. Th sgl scouy macs ca b x a sraghforwar mar o h mulpl scouy cas sc ach scouy has s ow splacm ump. Thrby Equao 2 bcoms Wh hs xprsso for sra h raco vcor for ach scouy ca b wr as wh E bg h lascy sor. I shoul b o ha h srss sor σ 7 s commo o all scous h sam lm. Th loag fucos smlar o hos [9] sofg ruls a voluo laws for ach scouy ar f as whr x os h absolu valu of scalar x m os h u ag of a scouy ar h ral varabl a s ra rla o h sofg law for a scouy a σ a s ar h sl srgh a h vscosy of h maral. Morovr h s h sofg moulus of h xpoal sofg rul. Paramr g ha corols h al slop of h sofg curv s calbra by h mo I fracur 23 wh o summao o H u ε u u δ 6 ε E σ : : xp 3 Ic q G g g g h s h q q φ λ φ λ σ σ σ β φ x E m 8
6 rgy GIc. Fally β s a shar corol paramr ha govrs h raco bw h sl mo-i a h shar mo-ii compo of h raco. Th formal smlary of Equao 7 a 8 o plascy hory abls afr lmag h ra of h ral varabl λ h xploao of saar compuaoal mulsurfac plascy chqus solvg for h splacm umps a upag h ral varabls s [9]. I parcular h crms of h magus of h splacm umps δλ ca b solv grally as assumg φ > 0 for all 23 Gδλ F wh φ T G E x 0 0 y y x φ s δ h 0 23 whr marx oao s us a x ar y ar h compos of. Afr h crm δλ s solv h crms of h splacm umps raco vcors a h ral varabls ar upa accorg o Equao 8. Th w srss sa s h calcula accorg o h fo of srss Equao 7. I shoul b o ha h cas whr h magus of all hr splacm umps ar acv h of h srss grao... λ δλ > 0 23 os o acually ralz. Ths follows from h paro uy propry of h rpolao fucos gvg 3 0. Thus oly wo p g mos ar possbl 2D [8]. Th prs formulao rsuls a smpl compuaoal schm whr h global quaos of moo ar solv wh a xplc m graor a h local problm for srsss splacm umps a ral varabls wh h lasc-plasc opraor spl. Fally s mphasz ha h prs mol corporas loag ra ssvy so ha ca b appl yamc loag coos. Morovr o solvg for δλ h agoal rs of G mus rma posv. Ths may bcom crucal f h sofg curv s xrmly sp.. h absolu valu of h s grar ha h sffss rm. Thus h posvy s scur by h prsc of rm s/ whch s usually of svral orrs of magu. x y 0 y x F φ 9 umrcal xampls Prs mol prformac s s hs sco boh a h maral po lvl usg a sgl lm msh a a h srucural lvl whr h uaxal comprsso a so ss o roc l maral ar smula. Th maral proprs a from [0] val for Sasa gra a mol paramrs for smulaos ar gv Tabl. 30
7 Tabl. Maral proprs a mol paramrs Quay Symbol Valu U Youg s moulus E 67.3 GPa Elasc lm srss so σ 8.9 MPa Posso s rao ν 0.27 Maral sy ρ 266 g/m 3 Mo I fracur rgy G Ic /m Vscosy for scouy s 0.00 MPa s/m Shar corol paramr β Maral po lvl ss Bfor h laboraory sampl lvl smulaos h mol prcos ar mosra a h maral po lvl so. For hs h mol rspos s s wh h sgl CST lm mol a bouary coos show Fgur 3. Fgur 3. Sgl lm mol a bouary coos for maral po lvl smulaos. Th lm s lgh s s o 0 mm a h magu of cosa vlocy s 0.00 m/s ach loa cas. Th ffc of vscosy s s LC whl ohr loa cass h valu gv Tabl s us. Th smulao rsuls ar show Fgur 4. Srss [MPa] LC s 0.00 s 0. s s 0 MPas/m Srss [MPa] LC2 σ x σ y LC3 τ xy LC4 σ y LC4 τ xy Sra x 0-3 a Sra x 0-3 b Fgur 4. Th mol prcos a h maral po lvl smulaos: ffc of vscosy LC a a mol rspos LC2 LC3 a LC4 b. 3
8 Th ffc of h vscosy moulus o h mol rspos show Fgur 4a s ypcal for vscoplascy mols.. h hghr h moulus h hghr h pa srgh a h mor ucl h pos-pa bhavor. Oly crac 3 show Fgur 3 ops LC. I LC2 h mol prco s aurally cal boh x a y rco as h magus of crac 2 a 3 opg vlop qually. Wh h loag s mpos o o 3 oly x rco LC3 oly h shar srss of h lm ffrs from zro Fgur 3b. I hs loa cas crac a 2 boh op h bgg of h sofg procss. Howvr crac bcoms acv almos mmaly so ha oly crac 2 opg vlops urg h loag. Fally LC4 crac a 3 boh op frs upo rachg h sl srgh bu h almos mmaly afr oly crac 3 opg rmas acv so ha h of h sofg procss crac opg s oly 6.6E-5 mm whl ha of crac 3 s 0.03 mm. Laboraory sampl lvl ss Uaxal so a comprsso ss ar smula hr wh h mol show Fgur 5 orr o mosra h mol prformac a h laboraory sampl lvl. Th maral proprs a mol paramrs ar hos show Tabl. Fgur 5. Mol CST msh 4276 lms a bouary coos for uaxal so a comprsso smulaos. Th cosa vlocy bouary coo wh vy 0.02 m/s h so s smulaos a vy 0. m/s comprsso s appl hr. Th smulao rsuls wh wo ffr valus of h shar corol paramr ar show Fgur 6 a 7. 32
9 Fgur 6. Smulao rsuls for uaxal so s: Axal srss vs. sra curvs a fal falur mos wh β b a β 0.5 c. Th fal falur mos Fgur 6b a c ar prs rms of h magu of h sum of splacm ump vcors orms for ach lm. Th ffc of h shar paramr s obvous h rsuls: valu β las o a oubl crac sysm wh a cl r ca Fgur 6b by a ash l. Wh h shar paramr valu s cras o β 0.5 h macrocrac s approxmaly orhogoal o h loag rco whch s h obsrv cas h xprms for rocs a cocr. Wh hs smallr valu of β h prc maral rspos s mor brl as wll. Fally h uaxal comprsso s rsuls ar show Fgur 7 h gomchacs covo of rgarg comprssv srss a sra posv s aop hr. Fgur 7. Smulao rsuls for uaxal comprsso s: Axal laral a volumrc sra vs. axal srss curvs a fal falur mos wh β b a β 0.65 c. Th srss-sra curvs Fgur 7a xhb ypcal faurs obsrv h xprms of roc ur uaxal comprsso [0]. Volumrc sra s frs compaca bu chags h o laa wh ough cracs ar opg. Th ffc of shar paramr s subsaal hr: crasg s valu from o 0.65 oubls h pa srss. Thus wo xrm mos of mol bhavour wh rspc o hs paramr ca b f. 33
10 Th frs s gv by valu β 0 whch allows a f shar compo for h raco vcor rsulg a f comprssv srgh uaxal comprsso s. Th sco s gv by crasg β fly whch allows o shar a all rsulg a zro comprssv srgh uaxal comprsso s. As for h prc falur mos hy xhb h ypcal slghly cl localzao bas. Morovr h ruc shar corbuo rsuls cosrably wr localzao bas as ca b obsrv Fgur 7c. Th aur of hs falur mos s mx mo-i/ii falur. Dscusso a coclusos A ra-p mulpl mb scouy mol was vlop o smula quas-brl fracur wh h f lms cox. I h prs approach h scous wr pr-mb bfor h aalyss o ach f lm of h msh rsulg a formulao smlar cra rspcs o h classcal rfac or cohsv zo lms. Howvr h prs approach s smplr a mor ffc ha h cohsv zo approach sc hr uplcao of msh os or coac rfacs upo crac closur ar. Th prs mho s smpl havg rlavly small umbr 7 oal of mol paramrs. Th shar paramr corollg h raco bw h sl a shar mos of fracur has a subsaal ffc o h comprssv srgh a h falur mos prc wh h mol. By ausg h sl srgh a h shar corol paramr h mol ca prc h corrc sl a comprssv srghs as wll as ralsc falur mos of a quas-brl maral such as roc so a uaxal comprsso as was show h umrcal smulaos. As for h msh pcy of h rsuls prc wh h prs mho shoul b o ha hr ar wo localzao lmrs of ffr aur h prs mol. Th frs s prov by h mb scouy mho whch s ow o b msh p. Th sco s prov by h cluso of vscosy h mol. Thrfor h rsuls shoul b prcpl msh p. Howvr furhr vsgaos o hs ssu ar pospo o h fuur sus of h prs mho. Rfrcs [] T. Rabczu. Compuaoal Mhos for Fracur Brl a Quas-Brl Sols: Sa-of-h-Ar Rvw a Fuur Prspcvs. ISR Appl Mahmacs Arcl ID hp://x.o.org/0.55/203/84923 [2] J.C. Smo J. Olvr F. Armro. A aalyss of srog scous uc by sra-sofg ra-p lasc sols. Compuaoal Mchacs 2: [3] J.C. Smo J. Olvr. A w approach o h aalyss a smulao of sra sofg sols : Z.P. Baza al. Es. Fracur a Damag Quasbrl Srucurs E. a F.. Spo Loo 994 pp [4] J. Olvr. Mollg srog scous sol mchacs va sra sofg cosuv quaos. Pars : fuamals. Iraoal Joural for umrcal 34
11 Mhos Egrg 39: o:0.002/sici :2<3575::aid-me65>3.0.co;2-e [5] J. Olvr. Mollg srog scous sol mchacs va sra sofg cosuv quaos. Par 2: umrcal smulao. Iraoal Joural for umrcal Mhos Egrg; 39: o: 0.002/SICI :2<360::AID-ME64>3.0.CO;2-4 [6] T. Sasala. Ra-Dp Emb Dscouy Approach Icorporag Hrogy for umrcal Molg of Roc Fracur. Roc Mchacs a Roc Egrg 48: o:0.007/s [7]. Moës J. Dolbow T. Blyscho. A f lm mho for crac growh whou rmshg. Iraoal Joural for umrcal Mhos Egrg 46: o:0.002/sici :<3::aid- ME726>3.0.CO;2-J [8] R. Raulovc O.T. Bruhs J. Moslr. Effcv 3D falur smulaos by combg h avaags of mb Srog Dscouy Approachs a classcal rfac lms. Egrg Fracur Mchacs 78: o:0.06/.gfracmch [9] J. Moslr. O avac soluo srags o ovrcom locg ffcs srog scouy approachs. Iraoal Joural for umrcal Mhos Egrg 63: o: 0.002/m.329 [0] O.M. Mahaba. Ivsgag h fluc of mcro-scal hrogy a mcrosrucur o h falur a mchacal bhavour of gomarals. PhD Thss Graua Dparm of Cvl Egrg Uvrsy of Toroo 202. Tmo Sasala Tampr Uvrsy of Tchology Dparm of Cvl Egrg P.O. Box 600 FI-330 Tampr Fla mo.sasala@u.f 35
Anouncements. Conjugate Gradients. Steepest Descent. Outline. Steepest Descent. Steepest Descent
oucms Couga Gas Mchal Kazha (6.657) Ifomao abou h Sma (6.757) hav b pos ol: hp://www.cs.hu.u/~msha Tch Spcs: o M o Tusay afoo. o Two paps scuss ach w. o Vos fo w s caa paps u by Thusay vg. Oul Rvw of Sps
More informationChapter 5 Transient Analysis
hpr 5 rs Alyss Jsug Jg ompl rspos rs rspos y-s rspos m os rs orr co orr Dffrl Equo. rs Alyss h ffrc of lyss of crcus wh rgy sorg lms (ucors or cpcors) & m-ryg sgls wh rss crcus s h h quos rsulg from r
More informationSurvival Analysis for Randomized Clinical Trials II Cox Regression. Ziad Taib Biostatistics AstraZeneca February 26, 2008
Survval alyss for Raomz Clcal rals II Cox Rgrsso a ab osascs sraca Fbruary 6, 8 la Irouco o proporoal azar mol H aral lkloo Comparg wo groups umrcal xampl Comparso w log-rak s mol xp z + + k k z Ursag
More informationMECE 3320 Measurements & Instrumentation. Static and Dynamic Characteristics of Signals
MECE 330 MECE 330 Masurms & Isrumao Sac ad Damc Characrscs of Sgals Dr. Isaac Chouapall Dparm of Mchacal Egrg Uvrs of Txas Pa Amrca MECE 330 Sgal Cocps A sgal s h phscal formao abou a masurd varabl bg
More informationLecture 12: Introduction to nonlinear optics II.
Lcur : Iroduco o olar opcs II r Kužl ropagao of srog opc sgals propr olar ffcs Scod ordr ffcs! Thr-wav mxg has machg codo! Scod harmoc grao! Sum frqucy grao! aramrc grao Thrd ordr ffcs! Four-wav mxg! Opcal
More informationCHAPTER: 3 INVERSE EXPONENTIAL DISTRIBUTION: DIFFERENT METHOD OF ESTIMATIONS
CHAPTER: 3 INVERSE EXPONENTIAL DISTRIBUTION: DIFFERENT METHOD OF ESTIMATIONS 3. INTRODUCTION Th Ivrs Expoal dsrbuo was roducd by Kllr ad Kamah (98) ad has b sudd ad dscussd as a lfm modl. If a radom varabl
More informationChap 2: Reliability and Availability Models
Chap : lably ad valably Modls lably = prob{s s fully fucog [,]} Suppos from [,] m prod, w masur ou of N compos, of whch N : # of compos oprag corrcly a m N f : # of compos whch hav fald a m rlably of h
More informationEE 232 Lightwave Devices. Photodiodes
EE 3 Lgwav Dvcs Lcur 8: oocoucors a p-- ooos Rag: Cuag, Cap. 4 Isrucor: Mg C. Wu Uvrsy of Calfora, Brkly Elcrcal Egrg a Compur Sccs Dp. EE3 Lcur 8-8. Uvrsy of Calfora oocoucors ω + - x Ara w L Euval Crcu
More informationHigh temperature thermal properties of alkali activated aluminosilicate materials
Hgh mpraur hrmal proprs of alkal acva alumoslca marals Luc Zua Ja oma 2 Pavla Rovaíková 3 Park Bayr 3 a Robr Črý Dparm of Srucural Mchacs Faculy of Cvl Egrg Czch chcal Uvrsy hákurova 7 66 29 Pragu 6 Czch
More informationControl Systems (Lecture note #6)
6.5 Corol Sysms (Lcur o #6 Las Tm: Lar algbra rw Lar algbrac quaos soluos Paramrzao of all soluos Smlary rasformao: compao form Egalus ad gcors dagoal form bg pcur: o brach of h cours Vcor spacs marcs
More informationAlmost unbiased exponential estimator for the finite population mean
Almos ubasd poal smaor for f populao ma Rajs Sg, Pakaj aua, ad rmala Saa, Scool of Sascs, DAVV, Idor (M.P., Ida (rsgsa@aoo.com Flor Smaradac ar of Dparm of Mamacs, Uvrs of Mco, Gallup, USA (smarad@um.du
More information8. Queueing systems. Contents. Simple teletraffic model. Pure queueing system
8. Quug sysms Cos 8. Quug sysms Rfrshr: Sml lraffc modl Quug dscl M/M/ srvr wag lacs Alcao o ack lvl modllg of daa raffc M/M/ srvrs wag lacs lc8. S-38.45 Iroduco o Tlraffc Thory Srg 5 8. Quug sysms 8.
More informationSeries of New Information Divergences, Properties and Corresponding Series of Metric Spaces
Srs of Nw Iforao Dvrgcs, Proprs ad Corrspodg Srs of Mrc Spacs K.C.Ja, Praphull Chhabra Profssor, Dpar of Mahacs, Malavya Naoal Isu of Tchology, Japur (Rajasha), Ida Ph.d Scholar, Dpar of Mahacs, Malavya
More informationMathematical Statistics. Chapter VIII Sampling Distributions and the Central Limit Theorem
Mahmacal ascs 8 Chapr VIII amplg Dsrbos ad h Cral Lm Thorm Fcos of radom arabls ar sall of rs sascal applcao Cosdr a s of obsrabl radom arabls L For ampl sppos h arabls ar a radom sampl of s from a poplao
More informationImproved Exponential Estimator for Population Variance Using Two Auxiliary Variables
Improvd Epoal Emaor for Populao Varac Ug Two Aular Varabl Rajh gh Dparm of ac,baara Hdu Uvr(U.P., Ida (rgha@ahoo.com Pakaj Chauha ad rmala awa chool of ac, DAVV, Idor (M.P., Ida Flor maradach Dparm of
More informationGauge Theories. Elementary Particle Physics Strong Interaction Fenomenology. Diego Bettoni Academic year
Gau Thors Elmary Parcl Physcs Sro Iraco Fomoloy o Bo cadmc yar - Gau Ivarac Gau Ivarac Whr do Laraas or Hamloas com from? How do w kow ha a cra raco should dscrb a acual hyscal sysm? Why s h lcromac raco
More informationA Simple Representation of the Weighted Non-Central Chi-Square Distribution
SSN: 9-875 raoa Joura o ovav Rarch Scc grg a Tchoogy (A S 97: 7 Cr rgaao) Vo u 9 Sbr A S Rrao o h Wgh No-Cra Ch-Squar Drbuo Dr ay A hry Dr Sahar A brah Dr Ya Y Aba Proor D o Mahaca Sac u o Saca Su a Rarch
More informationReliability analysis of time - dependent stress - strength system when the number of cycles follows binomial distribution
raoal Joural of Sascs ad Ssms SSN 97-675 Volum, Numbr 7,. 575-58 sarch da Publcaos h://www.rublcao.com labl aalss of m - dd srss - srgh ssm wh h umbr of ccls follows bomal dsrbuo T.Sumah Umamahswar, N.Swah,
More information3.4 Properties of the Stress Tensor
cto.4.4 Proprts of th trss sor.4. trss rasformato Lt th compots of th Cauchy strss tsor a coordat systm wth bas vctors b. h compots a scod coordat systm wth bas vctors j,, ar gv by th tsor trasformato
More informationAlgorithms to Solve Singularly Perturbed Volterra Integral Equations
Avalabl a hp://pvamudu/aam Appl Appl Mah ISSN: 9-9 Vol Issu Ju pp 9-8 Prvousl Vol Issu pp Applcaos ad Appld Mahmacs: A Iraoal Joural AAM Algorhms o Solv Sgularl Prurbd Volrra Igral Equaos Marwa Tasr Alqura
More informationImproved Exponential Estimator for Population Variance Using Two Auxiliary Variables
Rajh gh Dparm of ac,baara Hdu Uvr(U.P.), Ida Pakaj Chauha, rmala awa chool of ac, DAVV, Idor (M.P.), Ida Flor maradach Dparm of Mahmac, Uvr of w Mco, Gallup, UA Improvd Epoal Emaor for Populao Varac Ug
More informationDr. Junchao Xia Center of Biophysics and Computational Biology. Fall /21/2016 1/23
BIO53 Bosascs Lcur 04: Cral Lm Thorm ad Thr Dsrbuos Drvd from h Normal Dsrbuo Dr. Juchao a Cr of Bophyscs ad Compuaoal Bology Fall 06 906 3 Iroduco I hs lcur w wll alk abou ma cocps as lsd blow, pcd valu
More informationPhys Nov. 3, 2017 Today s Topics. Continue Chapter 2: Electromagnetic Theory, Photons, and Light Reading for Next Time
Phys 31. No. 3, 17 Today s Topcs Cou Chap : lcomagc Thoy, Phoos, ad Lgh Radg fo Nx Tm 1 By Wdsday: Radg hs Wk Fsh Fowls Ch. (.3.11 Polazao Thoy, Jos Macs, Fsl uaos ad Bws s Agl Homwok hs Wk Chap Homwok
More informationThe Variance-Covariance Matrix
Th Varanc-Covaranc Marx Our bggs a so-ar has bn ng a lnar uncon o a s o daa by mnmzng h las squars drncs rom h o h daa wh mnsarch. Whn analyzng non-lnar daa you hav o us a program l Malab as many yps o
More informationConsider a system of 2 simultaneous first order linear equations
Soluon of sysms of frs ordr lnar quaons onsdr a sysm of smulanous frs ordr lnar quaons a b c d I has h alrna mar-vcor rprsnaon a b c d Or, n shorhand A, f A s alrady known from con W know ha h abov sysm
More informationConvergence tests for the cluster DFT calculations
Covgc ss o h clus DF clculos. Covgc wh spc o bss s. s clculos o bss s covgc hv b po usg h PBE ucol o 7 os gg h-b. A s o h Guss bss ss wh csg s usss hs b us clug h -G -G** - ++G(p). A l sc o. Å h c bw h
More informationAlmost Unbiased Exponential Estimator for the Finite Population Mean
Rajs Sg, Pakaj aua, rmala Saa Scool of Sascs, DAVV, Idor (M.P., Ida Flor Smaradac Uvrs of Mco, USA Almos Ubasd Epoal Esmaor for F Populao Ma Publsd : Rajs Sg, Pakaj aua, rmala Saa, Flor Smaradac (Edors
More informationConventional Hot-Wire Anemometer
Convnonal Ho-Wr Anmomr cro Ho Wr Avanag much mallr prob z mm o µm br paal roluon array o h nor hghr rquncy rpon lowr co prormanc/co abrcaon roc I µm lghly op p layr 8µm havly boron op ch op layr abrcaon
More informationLeast squares and motion. Nuno Vasconcelos ECE Department, UCSD
Las squars ad moo uo Vascoclos ECE Dparm UCSD Pla for oda oda w wll dscuss moo smao hs s rsg wo was moo s vr usful as a cu for rcogo sgmao comprsso c. s a gra ampl of las squars problm w wll also wrap
More information1973 AP Calculus BC: Section I
97 AP Calculus BC: Scio I 9 Mius No Calculaor No: I his amiaio, l dos h aural logarihm of (ha is, logarihm o h bas ).. If f ( ) =, h f ( ) = ( ). ( ) + d = 7 6. If f( ) = +, h h s of valus for which f
More informationMINIMUM ENERGY CONTROL OF FRACTIONAL POSITIVE ELECTRICAL CIRCUITS. Tadeusz Kaczorek
MINIMUM ENEGY CONO OF FACIONA POSIIVE EECICA CICUIS ausz Kaczor alyso Uvrsy o chology Faculy o Elcrcal Egrg jsa 45D 5-5 alyso -al: aczor@sppwupl ASAC Mu rgy corol probl or h racoal posv lcrcal crcus s
More informationModern Topics in Solid-State Theory: Topological insulators and superconductors
Mor Topc ol-a Thor: Topolocal ulaor uprcoucor ra P. chr Ma-Plac-Iu für örprforchu, uar Uvrä uar Jauar 6 Topolocal ulaor uprcoucor. Topolocal b hor - Wha opolo? - H mol polacl) - hr ulaor IQH. Topolocal
More informationDesign of Fuzzy Sliding-Mode Controller for Chaos Synchronization
Dsg o Fuzzy Slg-Mo Corollr or Chaos Syhrozao Chao-L Kuo Chg-Sho Shh Cha-Hug L a Shu-Pg Shh 3 No. 49 Jug-Hua Roa Hs-Shh Towshp Taa Couy 744 Tawa R.O.C. Dparm o Elral Egrg Far-Eas Uvrsy lkuo@.u.u.w Lu-Chu
More information1- I. M. ALGHROUZ: A New Approach To Fractional Derivatives, J. AOU, V. 10, (2007), pp
Jourl o Al-Qus Op Uvrsy or Rsrch Sus - No.4 - Ocobr 8 Rrcs: - I. M. ALGHROUZ: A Nw Approch To Frcol Drvvs, J. AOU, V., 7, pp. 4-47 - K.S. Mllr: Drvvs o or orr: Mh M., V 68, 995 pp. 83-9. 3- I. PODLUBNY:
More informationQuantum Harmonic Oscillator
Quu roc Oscllor Quu roc Oscllor 6 Quu Mccs Prof. Y. F. C Quu roc Oscllor Quu roc Oscllor D S..O.:lr rsorg forc F k, k s forc cos & prbolc pol. V k A prcl oscllg roc pol roc pol s u po of sbly sys 6 Quu
More informationP a g e 5 1 of R e p o r t P B 4 / 0 9
P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e
More informationComputational Simulations and Experiments on Vibration Control of a Flexible Two-link Manipulator Using a Piezoelectric Actuator
Egrg Lrs, 3:3, EL_3_3_ Compuaoal Smulaos ad Exprms o Vbrao Corol of a Flxbl Two-lk Mapulaor Usg a Pzolcrc Acuaor Abdul Kadr Muhammad, Shgo Okamoo, Ja Hoo L, Mmbrs, IAENG Absrac Th purposs of hs rsarch
More informationCorrelation in tree The (ferromagnetic) Ising model
5/3/00 :\ jh\slf\nots.oc\7 Chaptr 7 Blf propagato corrlato tr Corrlato tr Th (frromagtc) Isg mol Th Isg mol s a graphcal mol or par ws raom Markov fl cosstg of a urct graph wth varabls assocat wth th vrtcs.
More informationIntroduction to topological aspects in! condensed matter physics. Andreas P. Schnyder. Max-Planck-Institut für Festkörperforschung, Stuttgart
Irouco o opolocal apc co mar phc ra P. chr Ma-Plac-Iu für örprforchu, uar Ju 11-13, 14 Uvré Lorra T-fol clafcao of opolocal ulaor uprcoucor 1 lcur: - Topolocal b hor - Topolocal ulaor 1D polacl) - Topolocal
More informationLeast Squares Fitting (LSQF) with a complicated function Theexampleswehavelookedatsofarhavebeenlinearintheparameters
Leas Squares Fg LSQF wh a complcaed fuco Theeampleswehavelookedasofarhavebeelearheparameers ha we have bee rg o deerme e.g. slope, ercep. For he case where he fuco s lear he parameers we ca fd a aalc soluo
More informationMajor: All Engineering Majors. Authors: Autar Kaw, Luke Snyder
Nolr Rgrsso Mjor: All Egrg Mjors Auhors: Aur Kw, Luk Sydr hp://urclhodsgusfdu Trsforg Nurcl Mhods Educo for STEM Udrgrdus 3/9/5 hp://urclhodsgusfdu Nolr Rgrsso hp://urclhodsgusfdu Nolr Rgrsso So populr
More informationTHE STOCHASTIC SEASONAL BEHAVIOR OF THE NATURAL GAS PRICE
E SOCASIC SEASONAL BEAVIOR OF E NAURAL GAS PRICE. Irouco Aré García ra Fracco Javr Poblacó García Prlmary Draf Ju-5 Acamc a pracor hav b rcly payg ao o a facal grg u: h valuao a hgg of commoy cog clam.
More informationChapter 4. Continuous Time Markov Chains. Babita Goyal
Chapr 4 Couous Tm Markov Chas Baba Goyal Ky words: Couous m sochasc procsss, Posso procss, brh procss, dah procss, gralzd brh-dah procss, succssv occurrcs, r-arrval m. Suggsd radgs:. Mdh, J. (996, Sochasc
More informationFourier Series: main points
BIOEN 3 Lcur 6 Fourir rasforms Novmbr 9, Fourir Sris: mai pois Ifii sum of sis, cosis, or boh + a a cos( + b si( All frqucis ar igr mulipls of a fudamal frqucy, o F.S. ca rprs ay priodic fucio ha w ca
More informationPoisson Arrival Process
1 Poisso Arrival Procss Arrivals occur i) i a mmorylss mar ii) [ o arrival durig Δ ] = λδ + ( Δ ) P o [ o arrival durig Δ ] = 1 λδ + ( Δ ) P o P j arrivals durig Δ = o Δ for j = 2,3, ( ) o Δ whr lim =
More informationSummary: Solving a Homogeneous System of Two Linear First Order Equations in Two Unknowns
Summary: Solvng a Homognous Sysm of Two Lnar Frs Ordr Equaons n Two Unknowns Gvn: A Frs fnd h wo gnvalus, r, and hr rspcv corrspondng gnvcors, k, of h coffcn mar A Dpndng on h gnvalus and gnvcors, h gnral
More informationAn N-Component Series Repairable System with Repairman Doing Other Work and Priority in Repair
Mor ppl Novmbr 8 N-Compo r Rparabl m h Rparma Dog Ohr ork a ror Rpar Jag Yag E-mal: jag_ag7@6om Xau Mg a uo hg ollag arb Normal Uvr Yaq ua Taoao ag uppor b h Fouao or h aural o b prov o Cha 5 uppor b h
More informationCreep of LVL and Its Effect on the Structures
Crp of LVL ad Is Effc o h Srucurs H. Z. Zhou PhD Sud Harb Isu of Tchology Harb, Cha E. C. Zhu Profssor Harb Isu of Tchology Harb, Cha S. W. Wag Egr Cha Souhws Archcural Dsg ad Rsarch Isu Chgdu, Cha Summary
More informationAkpan s Algorithm to Determine State Transition Matrix and Solution to Differential Equations with Mixed Initial and Boundary Conditions
IOSR Joural o Elcrcal ad Elcrocs Egrg IOSR-JEEE -ISSN: 78-676,p-ISSN: 3-333, Volu, Issu 5 Vr. III Sp - Oc 6, PP 9-96 www.osrourals.org kpa s lgorh o Dr Sa Traso Marx ad Soluo o Dral Euaos wh Mxd Ial ad
More informationContinuous Time Markov Chains
Couous me Markov chas have seay sae probably soluos f a oly f hey are ergoc, us lke scree me Markov chas. Fg he seay sae probably vecor for a couous me Markov cha s o more ffcul ha s he scree me case,
More informationResponse of LTI Systems to Complex Exponentials
3 Fourir sris coiuous-im Rspos of LI Sysms o Complx Expoials Ouli Cosidr a LI sysm wih h ui impuls rspos Suppos h ipu sigal is a complx xpoial s x s is a complx umbr, xz zis a complx umbr h or h h w will
More informationA L A BA M A L A W R E V IE W
A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N
More informationMulti-fluid magnetohydrodynamics in the solar atmosphere
Mul-flud magohydrodyams h solar amoshr Tmuraz Zaqarashvl თეიმურაზ ზაქარაშვილი Sa Rsarh Isu of Ausra Aadmy of Ss Graz Ausra ISSI-orksho Parally ozd lasmas asrohyss 6 Jauary- Fbruary 04 ISSI-orksho Parally
More information) and furthermore all X. The definition of the term stationary requires that the distribution fulfills the condition:
Assigm Thomas Aam, Spha Brumm, Haik Lor May 6 h, 3 8 h smsr, 357, 7544, 757 oblm For R b X a raom variabl havig ormal isribuio wih ma µ a variac σ (his is wri as ~ (,) X. by: R a. Is X ) a urhrmor all
More informationBy Joonghoe Dho. The irradiance at P is given by
CH. 9 c CH. 9 c By Joogo Do 9 Gal Coao 9. Gal Coao L co wo po ouc, S & S, mg moocomac wav o am qucy. L paao a b muc ga a. Loca am qucy. L paao a b muc ga a. Loca po obvao P a oug away om ouc o a a P wavo
More informationKinematic analysis, modeling and simulation of the substation inspection robot
3r Iraoal ofrc o charocs, obocs a uomao (I 5) Kmac aalyss, molg a smulao of h subsao spco robo Jbo Zhag,,a, Zog Wu,b, Shua u,c HoHa vrsy ollg of Ir of hgs Egrg, hagzhou, Jagsu 3,ha Ky aboraory of llg chology
More information9. Simple Rules for Monetary Policy
9. Smpl Ruls for Monar Polc John B. Talor, Ma 0, 03 Woodford, AR 00 ovrvw papr Purpos s o consdr o wha xn hs prscrpon rsmbls h sor of polc ha conomc hor would rcommnd Bu frs, l s rvw how hs sor of polc
More informationVelocity Projection with Upwind Scheme Based on the Discontinuous Galerkin Methods for the Two Phase Flow Problem
raoal Joural of Mor Nolar Tory a Applao 5 4 7-4 Publs Ol Ju 5 Rs. p://.srp.org/joural/jma p://x.o.org/.436/jma.5.49 Vloy Projo Up m Bas o Dsouous Galr Mos for To Pas Flo Problm Jagyog Hou Wjg Ya * J C
More informationSolution set Stat 471/Spring 06. Homework 2
oluo se a 47/prg 06 Homework a Whe he upper ragular elemes are suppressed due o smmer b Le Y Y Y Y A weep o he frs colum o oba: A ˆ b chagg he oao eg ad ec YY weep o he secod colum o oba: Aˆ YY weep o
More information(Reference: sections in Silberberg 5 th ed.)
ALE. Atomic Structur Nam HEM K. Marr Tam No. Sctio What is a atom? What is th structur of a atom? Th Modl th structur of a atom (Rfrc: sctios.4 -. i Silbrbrg 5 th d.) Th subatomic articls that chmists
More informationIntroduction to Laplace Transforms October 25, 2017
Iroduco o Lplc Trform Ocobr 5, 7 Iroduco o Lplc Trform Lrr ro Mchcl Egrg 5 Smr Egrg l Ocobr 5, 7 Oul Rvw l cl Wh Lplc rform fo of Lplc rform Gg rform b gro Fdg rform d vr rform from bl d horm pplco o dffrl
More informationPressure Transient Analysis for Non-Newtonian Power-Law Fluid Flow in Double Porous Media and Fractal Reservoirs
ssu Tas Aalyss o No-Noa o-la Flu Flo oubl oous Ma a Facal Rsvos HOU Yg M TONG g K ollg o Mahacs a opuaoal Sccha Uvsy o olu ogyg 576 houyg@upc.u.c Absac Ths pap pss a ahacal ol o as lo o h o-noa po-la lu
More informationExtinction risk depends strongly on factors contributing to stochasticity
co rs dpds srogly o facors corbug o sochascy r A. Mlbour & Ala Hasgs 2 parm of cology ad voluoary ology Uvrsy of Colorado ouldr CO 839 USA 2 parm of vromal Scc ad Polcy Uvrsy of Calfora avs CA 9566 USA
More informationContinous system: differential equations
/6/008 Coious sysm: diffrial quaios Drmiisic modls drivaivs isad of (+)-( r( compar ( + ) R( + r ( (0) ( R ( 0 ) ( Dcid wha hav a ffc o h sysm Drmi whhr h paramrs ar posiiv or gaiv, i.. giv growh or rducio
More informationChapter 8. Second-Harmonic Generation and Parametric Oscillation
Chapr 8 Sco-Haroc Grao a ararc Oscao 8 Irouco Sco-Haroc grao : ararc Oscao : Rfrc : RW Boy Noar Opcs Chapr Th oar Opca Suscpby Noar Opcs ab Hayag Uv Th Noar Opca Suscpby Gra for of uc poarao : whr : ar
More informationFORCED VIBRATION of MDOF SYSTEMS
FORCED VIBRAION of DOF SSES he respose of a N DOF sysem s govered by he marx equao of moo: ] u C] u K] u 1 h al codos u u0 ad u u 0. hs marx equao of moo represes a sysem of N smulaeous equaos u ad s me
More informationPart B: Transform Methods. Professor E. Ambikairajah UNSW, Australia
Par B: rasform Mhods Profssor E. Ambikairaah UNSW, Ausralia Chapr : Fourir Rprsaio of Sigal. Fourir Sris. Fourir rasform.3 Ivrs Fourir rasform.4 Propris.4. Frqucy Shif.4. im Shif.4.3 Scalig.4.4 Diffriaio
More informationFL/VAL ~RA1::1. Professor INTERVI of. Professor It Fr recru. sor Social,, first of all, was. Sys SDC? Yes, as a. was a. assumee.
B Pror NTERV FL/VAL ~RA1::1 1 21,, 1989 i n or Socil,, fir ll, Pror Fr rcru Sy Ar you lir SDC? Y, om um SM: corr n 'd m vry ummr yr. Now, y n y, f pr my ry for ummr my 1 yr Un So vr ummr cour d rr o l
More informationPoisson Arrival Process
Poisso Arrival Procss Arrivals occur i) i a mmylss mar ii) [ o arrival durig Δ ] = λδ + ( Δ ) P o [ o arrival durig Δ ] = λδ + ( Δ ) P o P j arrivals durig Δ = o Δ f j = 2,3, o Δ whr lim =. Δ Δ C C 2 C
More informationT h e C S E T I P r o j e c t
T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T
More informationReliability of time dependent stress-strength system for various distributions
IOS Joural of Mathmatcs (IOS-JM ISSN: 78-578. Volum 3, Issu 6 (Sp-Oct., PP -7 www.osrjourals.org lablty of tm dpdt strss-strgth systm for varous dstrbutos N.Swath, T.S.Uma Mahswar,, Dpartmt of Mathmatcs,
More informationChapter 4 NUMERICAL METHODS FOR SOLVING BOUNDARY-VALUE PROBLEMS
Chaptr 4 NUMERICL METHODS FOR SOLVING BOUNDRY-VLUE PROBLEMS 00 4. Varatoal formulato two-msoal magtostatcs Lt th followg magtostatc bouar-valu problm b cosr ( ) J (4..) 0 alog ΓD (4..) 0 alog ΓN (4..)
More informationSymbolic Dynamics for Real Rational Maps
Symolc Dymcs or Rl Rol Mps João Crl Dprm o Mhmcs o h Azors Uvrsy Po Dlg Porugl ABSTRACT Ths or s mp o suy h ymcs o rl rol mps usg symolc ymcs I s gv mpl h llusrs ho h opologcl ropy c clcul usg g hory Mrov
More informationTwo-Dimensional Quantum Harmonic Oscillator
D Qa Haroc Oscllaor Two-Dsoal Qa Haroc Oscllaor 6 Qa Mchacs Prof. Y. F. Ch D Qa Haroc Oscllaor D Qa Haroc Oscllaor ch5 Schrödgr cosrcd h cohr sa of h D H.O. o dscrb a classcal arcl wh a wav ack whos cr
More informationSupplementary Figure 1. Experiment and simulation with finite qudit. anharmonicity. (a), Experimental data taken after a 60 ns three-tone pulse.
Supplmnar Fgur. Eprmn and smulaon wh fn qud anharmonc. a, Eprmnal daa akn afr a 6 ns hr-on puls. b, Smulaon usng h amlonan. Supplmnar Fgur. Phagoran dnamcs n h m doman. a, Eprmnal daa. Th hr-on puls s
More informationOn the Existence and uniqueness for solution of system Fractional Differential Equations
OSR Jourl o Mhms OSR-JM SSN: 78-578. Volum 4 ssu 3 Nov. - D. PP -5 www.osrjourls.org O h Es d uquss or soluo o ssm rol Drl Equos Mh Ad Al-Wh Dprm o Appld S Uvrs o holog Bghdd- rq Asr: hs ppr w d horm o
More informationDESIGN OF OBSERVER-BASED CONTROLLER FOR LINEAR NEUTRAL SYSTEMS. M. N. Alpaslan Parlakçı
EIGN OF OBEE-BE ONOLLE FO LINE NEUL YEM M. N. lpala arlakçı parm of ompur cc abul Blg Uvry olapr 3444 abul urky -mal: aparlakc@blg.u.r brac: I papr problm of obrvr-ba a-fback corollr g for lar ural ym
More informationDepartment of Mathematics and Statistics Indian Institute of Technology Kanpur MSO202A/MSO202 Assignment 3 Solutions Introduction To Complex Analysis
Dpartmt of Mathmatcs ad Statstcs Ida Isttut of Tchology Kapur MSOA/MSO Assgmt 3 Solutos Itroducto To omplx Aalyss Th problms markd (T) d a xplct dscusso th tutoral class. Othr problms ar for hacd practc..
More informationTrefftz method in solving the inverse problems
IP-A Ivs Poblms: vlopms ho a applcaos Fbua 9- Wasaw Pola ff mho solvg h vs poblms Ksof Gsa Klc Uvs of cholog Al.. -lca P.P.7 5-34 Klc Pola -mal: sof@gsa.pl /7 IP-A Ivs Poblms: vlopms ho a applcaos Fbua
More informationEE243 Advanced Electromagnetic Theory Lec # 10: Poynting s Theorem, Time- Harmonic EM Fields
Appl M Fall 6 Nuruhr Lcur # r 9/6/6 4 Avanc lcromagnc Thory Lc # : Poynng s Thorm Tm- armonc M Fls Poynng s Thorm Consrvaon o nrgy an momnum Poynng s Thorm or Lnar sprsv Ma Poynng s Thorm or Tm-armonc
More informationWashington State University
he 3 Ktics ad Ractor Dsig Sprg, 00 Washgto Stat Uivrsity Dpartmt of hmical Egrg Richard L. Zollars Exam # You will hav o hour (60 muts) to complt this xam which cosists of four (4) problms. You may us
More informationOn the Possible Coding Principles of DNA & I Ching
Sctfc GOD Joural May 015 Volum 6 Issu 4 pp. 161-166 Hu, H. & Wu, M., O th Possbl Codg Prcpls of DNA & I Chg 161 O th Possbl Codg Prcpls of DNA & I Chg Hupg Hu * & Maox Wu Rvw Artcl ABSTRACT I ths rvw artcl,
More informationFractal diffusion retrospective problems
Iraoa ora o App Mahac croc a Copr Avac Tchoo a Scc ISSN: 47-8847-6799 wwwaccor/iamc Ora Rarch Papr Fraca o rropcv prob O Yaro Rcv 6 h Ocobr 3 Accp 4 h aar 4 Abrac: I h arc w h rropcv vr prob Th rropcv
More informationk of the incident wave) will be greater t is too small to satisfy the required kinematics boundary condition, (19)
TOTAL INTRNAL RFLTION Kmacs pops Sc h vcos a coplaa, l s cosd h cd pla cocds wh h X pla; hc 0. y y y osd h cas whch h lgh s cd fom h mdum of hgh dx of faco >. Fo cd agls ga ha h ccal agl s 1 ( /, h hooal
More informationBoyce/DiPrima 9 th ed, Ch 7.6: Complex Eigenvalues
BocDPm 9 h d Ch 7.6: Compl Egvlus Elm Dffl Equos d Boud Vlu Poblms 9 h do b Wllm E. Boc d Rchd C. DPm 9 b Joh Wl & Sos Ic. W cosd g homogous ssm of fs od l quos wh cos l coffcs d hus h ssm c b w s ' A
More informationLet's revisit conditional probability, where the event M is expressed in terms of the random variable. P Ax x x = =
L's rvs codol rol whr h v M s rssd rs o h rdo vrl. L { M } rrr v such h { M } Assu. { } { A M} { A { } } M < { } { } A u { } { } { A} { A} ( A) ( A) { A} A A { A } hs llows us o cosdr h cs wh M { } [ (
More informationMidterm exam 2, April 7, 2009 (solutions)
Univrsiy of Pnnsylvania Dparmn of Mahmaics Mah 26 Honors Calculus II Spring Smsr 29 Prof Grassi, TA Ashr Aul Midrm xam 2, April 7, 29 (soluions) 1 Wri a basis for h spac of pairs (u, v) of smooh funcions
More informationEstimation of Population Variance Using a Generalized Double Sampling Estimator
r Laka Joural o Appl tatstcs Vol 5-3 stmato o Populato Varac Us a Gralz Doubl ampl stmator Push Msra * a R. Kara h Dpartmt o tatstcs D.A.V.P.G. Coll Dhrau- 8 Uttarakha Ia. Dpartmt o tatstcs Luckow Uvrst
More information(1) Cov(, ) E[( E( ))( E( ))]
Impac of Auocorrelao o OLS Esmaes ECON 3033/Evas Cosder a smple bvarae me-seres model of he form: y 0 x The four key assumpos abou ε hs model are ) E(ε ) = E[ε x ]=0 ) Var(ε ) =Var(ε x ) = ) Cov(ε, ε )
More informationTotal Prime Graph. Abstract: We introduce a new type of labeling known as Total Prime Labeling. Graphs which admit a Total Prime labeling are
Itratoal Joural Of Computatoal Egrg Rsarch (crol.com) Vol. Issu. 5 Total Prm Graph M.Rav (a) Ramasubramaa 1, R.Kala 1 Dpt.of Mathmatcs, Sr Shakth Isttut of Egrg & Tchology, Combator 641 06. Dpt. of Mathmatcs,
More informationAdvanced Queueing Theory. M/G/1 Queueing Systems
Advand Quung Thory Ths slds ar rad by Dr. Yh Huang of Gorg Mason Unvrsy. Sudns rgsrd n Dr. Huang's ourss a GMU an ma a sngl mahn-radabl opy and prn a sngl opy of ah sld for hr own rfrn, so long as ah sld
More informationImprovement of the Reliability of a Series-Parallel System Subject to Modified Weibull Distribution with Fuzzy Parameters
Joural of Mahmacs ad Sascs Rsarch Arcls Improvm of h Rlably of a Srs-Paralll Sysm Subjc o Modfd Wbull Dsrbuo wh Fuzzy Paramrs Nama Salah Youssf Tmraz Mahmacs Dparm, Faculy of Scc, Taa Uvrsy, Taa, Egyp
More informationControl Systems. Transient and Steady State Response.
Corol Sym Trai a Say Sa Ro chibum@oulch.ac.kr Ouli Tim Domai Aalyi orr ym Ui ro Ui ram ro Ui imul ro Chibum L -Soulch Corol Sym Tim Domai Aalyi Afr h mahmaical mol of h ym i obai, aalyi of ym rformac i.
More informationLecture Y4: Computational Optics I
Phooc ad opolcoc chologs DPMS: Advacd Maals Udsadg lgh ma acos s cucal fo w applcaos Lcu Y4: Compuaoal Opcs I lfos Ldoks Room Π, 65 746 ldok@cc.uo.g hp://cmsl.maals.uo.g/ldoks Rflco ad faco Toal al flco
More informationMellin Transform Method for the Valuation of the American Power Put Option with Non-Dividend and Dividend Yields
Joural of Mahmacal Fac, 5, 5, 49-7 Publshd Ol Augus 5 ScRs. h://www.scr.org/joural/jmf h://dx.do.org/.436/jmf.5.533 Mll Trasform Mhod for h Valuao of h Amrca Powr Pu Oo wh No-Dvdd ad Dvdd Ylds Suday Emmaul
More informationAML710 CAD LECTURE 12 CUBIC SPLINE CURVES. Cubic Splines Matrix formulation Normalised cubic splines Alternate end conditions Parabolic blending
CUIC SLINE CURVES Cubc Sples Marx formulao Normalsed cubc sples Alerae ed codos arabolc bledg AML7 CAD LECTURE CUIC SLINE The ame sple comes from he physcal srume sple drafsme use o produce curves A geeral
More information4. THE DENSITY MATRIX
4. THE DENSTY MATRX The desy marx or desy operaor s a alerae represeao of he sae of a quaum sysem for whch we have prevously used he wavefuco. Alhough descrbg a quaum sysem wh he desy marx s equvale o
More informationThe Linear Regression Of Weighted Segments
The Lear Regresso Of Weghed Segmes George Dael Maeescu Absrac. We proposed a regresso model where he depede varable s made o up of pos bu segmes. Ths suao correspods o he markes hroughou he da are observed
More informationWell-publicized worms Worm propagation curve Scanning strategies (uniform, permutation, hitlist, subnet) Three factors define worm spread:
Wll-publczd worm Worm propagao curv Scag rag (uorm, prmuao, hl, ub) Thr acor d worm prad: o Sz o vulrabl populao Prvo pach vulrabl, cra hrogy o Ra o co (cag ad propagao ragy) Dploy rwall Drbu worm gaur
More informationIntroduction to logistic regression
Itroducto to logstc rgrsso Gv: datast D { 2 2... } whr s a k-dmsoal vctor of ral-valud faturs or attrbuts ad s a bar class labl or targt. hus w ca sa that R k ad {0 }. For ampl f k 4 a datast of 3 data
More information