THE cohesive zone, CZ, in a material is the area between

Size: px
Start display at page:

Download "THE cohesive zone, CZ, in a material is the area between"

Transcription

1 Inegral Equaions in Cohesive Zones Modelling of Fracure in Hisory Dependen Maerials Layal Hakim, Sergey Mikhailov Absrac A cohesive zone model of crack propagaion in linear visco-elasic maerials wih non-linear hisory-dependen rupure crierion is presened. The viscoelaiciy is described by a linear Volerra inegral operaor in ime. The sresses on he cohesive zone saisfy he hisory dependen rupure crierion, given by a non-linear Abel-ype inegral operaor. The crack sars propagaing when he crack ip opening reaches a prescribed criical value. A numerical algorihm for compuing he evoluion of he crack and cohesive zone in ime is discussed along wih some numerical resuls. Index Terms Keywords: Abel inegral equaion, viscoelsiciy, cohesive zone, hisory dependen fracure, nonlinear fracure I. INTRODUCTION THE cohesive zone, CZ, in a maerial is he area beween wo separaing bu sill sufficienly close surfaces ahead of he crack ip, see he shaded region in Figure 1. The cohesive forces presen a he cohesive zones pull he cohesive zone faces ogeher. The exernal load applied o he body, on he conrary, causes he crack faces and CZ faces o move furher apar and he crack o propagae. ˆσ ˆδ ĉ â â ĉ Fig. 1. Cohesive zone Our aim is o find he ime evoluion of he CZ before he crack sars propagaing, he delay ime, afer which he crack will sar o propagae, and furher ime evoluion of he crack and he CZ. When he crack propagaes, he cohesive forces vanish a he poins where he cohesive zone opening reaches a criical value and hese poins become he crack surface poins, while he new maerial poins, where he hisory-dependen normalised equivalen sress reaches a criical value, join he cohesive zone. So, he CZ is pracically aached o he crack ip ahead of he crack and moves wih Manuscrip received 6h of March, 213; revised 31s of March, 213. Deails of auhors: Boh auhors are currenly a he Deparmen of Mahemaical Sciences in Brunel universiy London, UK; s: layal.hakim@brunel.ac.uk; sergey.mikhailov@brunel.ac.uk q q ˆδ ˆσ he crack, keeping he normalised equivalen sress finie in he body. One of he mos popular CZ models for elaso-perfecly plasic maerials is he Dugdale-Leonov-Panasyuk DLP) ) model, see [1], [2]. In he DLP model, he maximal normal sress in he cohesive zones is consan and equals o he maerial yield sress, σ = σ y. This model, and several of is modificaions, have been widely used in nonlinear fracure mechanics. Anoher popular CZ model is he Barenbla 1962) model. The 3 main componens needed o implemen CZ models of he DLP-ype are: i) he consiuive equaions in he bulk of he maerial; ii) he consiuive equaions in he cohesive zone; iii) he crieria for he cohesive zone o break and he crack o propagae. II. PROBLEM FORMULATION The model presened in his paper is an exension of he DLP model o linear visco-elasic maerials wih nonlinear hisory-dependen consiuive equaions in he cohesive zone. To his end, we will replace he DLP cohesive zone sress condiion, σ = σ y, wih he condiion where Λˆσ; ˆ) = β bσ β Λˆσ; ˆ) = 1, 1) ˆ ˆσˆτ) β ˆ ˆτ) β b 1 dˆτ ) 1 β is he normalised hisory-dependen equivalen sress, ˆσ is he maximum of he principal sresses, and ˆ denoes ime. The parameers σ and b are maerial consans in he assumed power-ype relaion ) b ˆσ ˆ ˆσ) = beween he rupure ime ˆ ˆσ) and he consan uniaxial ensile sress applied o a body wihou cracks. The parameer β is a maerial consan in he nonlinear accumulaion rule for durabiliy under variable load, see [3]. Noe ha relaions 1)-2) were implemened in [4] and [5] o solve a similar crack propagaion problem wihou cohesive zone; i.e. i was assumed ha when condiion 1) is reached a a poin, his poin becomes par of he crack. However, such approach appeared o be inapplicable for b 2. In his paper, a cohesive zone approach is developed insead, in order o cover he larger range of b values relevan o srucural maerials. In he CZ approach, when condiion 1) is reached a a poin, his poin becomes par of he cohesive zone. Le he problem geomery be as in Figure 1, i.e, he crack occupies he inerval [ âˆ), âˆ)] and he cohesive zone σ 2) ISBN: ISSN: Prin); ISSN: Online) WCE 213

2 occupies he inervals [ ĉˆ), âˆ)] and [âˆ), ĉˆ)] in an infinie plane loaded a infiniy by racion ˆq in he direcion normal o he crack, which is consan in ˆx, applied a he ime ˆ = and kep consan in ime hereafer. The iniial CZ ip coordinae and crack ip coordinae are prescribed, ĉ) = â) = â, while he funcions ĉˆ) and âˆ) for ime ˆ > are o be found. The cohesive zone condiion 1)-2) a a poin ˆx on he cohesive zone can be rewrien as ˆ ˆ cˆx) ˆσ β ˆx, ˆτ) ˆ ˆτ) 1 β b dˆτ = bσβ β ˆ cˆx) ˆσ β ˆx, ˆτ) dˆτ, 3) ˆ ˆτ) 1 β b for ˆ ˆ c ˆx) and âˆ) ˆx ĉˆ). Here, ˆ c ˆx) denoes he ime when he poin ˆx becomes par of he cohesive zone. Equaion 3) is an inhomogeneous nonlinear Volerra inegral equaion of he Abel ype wih unknown funcion ˆσˆx, ˆ) for ˆ ˆ c ˆx). We will firs consider he case when he bulk of he maerial is linearly elasic and hen conver he obained soluion o he case of linear visco-elasic maerials using he so-called Volerra principle. Applying he resuls by Muskhelishvili see [6], Secion 12), we have for he sresses ahead of he cohesive zone in he elasic maerial, ˆσˆx, ˆ) = ˆx ˆq 2 ˆx 2 ĉ 2 π ˆ) ĉˆ) âˆ) ĉ 2 ˆ) ˆξ 2 ˆx 2 ˆξ ˆσˆξ, ˆ)dˆξ, 4) 2 for ˆ ˆ c ˆx) and ˆx > ĉˆ). As one can see from 4), ˆσˆx, ˆ) has generally a square roo singulariy as ˆx ends o ĉ. A sufficien condiion for he normalised equivalen sress, Λ, o be bounded a he cohesive zone ip is ha he sress inensiy facor, ˆK, is zero a he cohesive zone ip. Muliplying he sress in equaion 4) by ˆx ĉˆ) and aking he limi as ˆx ends o ĉˆ) yields ĉˆ) ˆKˆ) = ˆq 2 ĉˆ) ˆσˆξ, ˆ) 2 π ĉ 2 ˆ) ˆξ dˆξ. 2 âˆ) To simplify he equaions, we will employ he normalisaions = ˆ ˆ, x = ˆx â, a) = â ˆ ) â, c) = ĉ ˆ ), σx, ) = ˆσx â, ˆ ), â ˆq Kc, ) = ˆKc â, ˆ ) ˆq. 5) â ) b ˆq Here ˆ = ˆ ˆq) = denoes he fracure ime for σ an infinie plane wihou a crack under he same load, ˆq. Thus, afer he normalisaion, we sae he following principle equaions for he considered problem: a) he cohesive zone condiion 1) in he form cx) σx, τ) β dτ = b cx) τ) 1 β b β σ β x, τ) dτ 6) τ) 1 β b for a) x c); b) he expression for he sress ahead of he cohesive zone: σx, ) = 1 2 π c) a) x x2 c 2 ) ) c2 ) ξ 2 x 2 ξ 2 σξ, )dξ for x > c); 7) c) he zero sress inensiy facor, Kc, ) =, where c) 2c) c) σξ, ) Kc, ) = dξ. 8) 2 π c2 ) ξ2 a) III. COHESIVE ZONE GROWTH FOR A STATIONARY CRACK In his secion we will consider he saionary sage, before he crack sars propagaing, i.e., a) = a) = 1, and hus only he cohesive zone grows wih ime. Our aim is o find he cohesive zone ip posiion c) and he crack ip opening. A. Numerical Mehod Le us inroduce a ime mesh wih nodes i = ih, for i =, 1, 2, 3,...n, where h is he ime-sep size. A each ime sep i, we use he secan mehod o find he roos, c i ) = c i, of he equaion Kc i, i ) =, as follows: 1) Take 2 iniial approximaions, c i ) 1 and c i ) 2, for c i ). 2) Obain K 1 = Kc i ) 1, i ) and K 2 = Kc i ) 2, i ) using equaion 8). Noe ha: In order o evaluae he inegral in 8), ci) a) 1 c2 i ) ξ 2 σξ, i)dξ, 9) we linearly inerpolae σξ, i ) on he cohesive zone beween ξ = c k ) and ξ = c k+1 ), where k =, 1, 2,...i 1. On he oher hand, o find σξ, i ), a each ξ = c k ), we use he Abel inegral equaion 6). Firs, we evaluae he inegral k σ β c k ), τ) τ) β b 1 dτ in he righ hand side of equaion 6) by piecewise linearly inerpolaing he funcion σ β c k ), τ) beween τ = j and τ = j+1 for j =, 1, 2,...k 1. Then we use he analyical soluion of a generalised Abel ype inegral equaion o solve he inegral equaion 6). To his end, in urn, we need o find σ β c k ), j ) for j < k from equaion 7) since c k ) > c j )), where he inegral cj) c2 ) ξ 2 c k ) 2 ξ 2 σξ, j)dξ a) is calculaed similarly o inegral 9). This means we piecewise linearly inerpolae σξ, j ) beween ξ = c m ) and ξ = c m+1 ) for m =, 1,...j 1. 3) Find he nex approximaion for c i using c i ) 3 = K 2c i ) 1 K 1 c i ) 2 K 2 K 1 ISBN: ISSN: Prin); ISSN: Online) WCE 213

3 4) If c i ) 3 c i ) 1 < ɛ or c i ) 3 c i ) 2 < ɛ allocae c i ) = c 3 and go o he sep = i+1 ; oherwise, go o he nex iem. Here ɛ is some olerance. 5) Taking he new c i ) 2 as c i ) 3 reurn o iem 2 unil convergence is reached. We have used ε = 1 8 as he olerance value. All programming was implemened in MATLAB. Using his scheme, we obained he evoluion of he cohesive zone ip posiion as well as he sress disribuion on he cohesive zone. c) log scale) β=2 β=1 β=1/2 B. Numerical Resuls The graphs presened in Fig. 2 show he resuls obained for a saionary crack wih b = 4 and β = b/2 = 2 for various mesh sizes. Fig. 4. crack) CZ ip posiion vs ime for b = 4 and differen β non-propagaing 1.93 c) log scale) n=25 n=5 n=1 n=2 n=4 n=8 c) log scale) β=2 β=1 β=1/ Fig CZ ip posiion vs ime for b = 4, β = 2, and differen meshes Fig. 5. CZ ip posiion vs ime for b = 4 and differen β non-propagaing crack), zoomed The graph in Fig. 3 is a closer look a he graphs in Fig. 2. Figure 6 shows he sress behaviour wih respec o ime a he poin x = c.6), i.e., c x) =.6. c) log scale) n=25 n=5 n=1 n=2 n=4 n=8 σc.6,) β=2 β=1 β=1/ Fig. 3. zoomed CZ ip posiion vs ime for b = 4, β = 2 and differen meshes, Fig. 6. The sress σc.6), ) vs ime for b = 4, n = 5 The graphs in Figs. 4 and 5 show he resuls obained for 3 differen values of he parameer β. C. Crack Tip Opening in he Elasic Case Using he represenaions by Muskhelishvili see [6], Secion 12), i can be deduced ha he normal displacemen ISBN: ISSN: Prin); ISSN: Online) WCE 213

4 jump a a crack+cz shore poin ˆx is where [û e ˆx, ˆ)] = [û q) e ˆx, ˆ)] + [û σ) e ˆx, ˆ)] [û q) e ˆx, ˆ)] = 4ˆq1 ν2 ) ĉˆ) 2 ˆx 2, E ) [û σ) e ˆx, ˆ)] = 41 ν2 ) ĉˆ) σˆξ, ˆ)Γˆx, πe ˆξ; ĉˆ))dˆξ, âˆ) Γˆx, ˆξ; ĉ) = ln 2ĉ2 ˆξ 2 ˆx 2 2 ĉ 2 ˆx 2 )ĉ 2 ˆξ 2 ) 2ĉ 2 ˆξ. 2 ˆx ĉ 2 ˆx 2 )ĉ 2 ˆξ 2 ) In he above expressions, E and ν denoe Young s modulus of elasiciy and Poisson s raio, respecively. We denoe he displacemen jump a he crack ip, ˆx = â, for he elasic maerial by ˆδ e ˆ) := [û e âˆ), ˆ)] = 1 ν2 ) 4ˆq ĉ 2 ˆ) â 2 ˆ) + 4 π ĉˆ) âˆ) E ˆσˆξ, ˆ)Γâˆ), ˆξ, ĉˆ))dˆξ ). 1) and call i he crack ip opening. Using he normalisaion [u e x, )] = E ) [û e ˆx â, ˆ ] â ˆq 1 ν 2, δ e ) = E ˆδ ˆ ) ) â ˆq1 ν 2 ), 11) we obain [u e x, )] = 4 c 2 ) x 2 + δ e ) = [u e a), )]. 4 π c) a) σξ, )Γx, ξ; c))dξ, 12) D. Crack Tip Opening in he Viscoelasic Case To obain he crack ip opening in he visco-elasic case, we will implemen he so-called Volerra principle, according o which we have o replace he elasic consans E and ν in he elasic soluion by he corresponding viscoelasic operaors, o arrive a he viscoelasic soluion. Alhough his approach does no always bring a viscoelasic soluion for he problems wih moving boundaries, i is possible o show, cf. [7], ha his approach leads o a viscoelasic soluion for he plane symmeric problems wih a sraigh propagaing crack. This means ha for he viscoelasic problem we can direcly use he resuls by Muskhelishvili for he sress represenaion given in equaion 4) since hey do no include he elasic consans a all. For simpliciy, we will consider he viscoelasic maerial wih consan purely elasic) Poisson s raio. Then, o obain he crack opening in he viscoelasic case, we have o replace 1/E in 1) by he second kind Volerra inegral operaor E 1 defined as E 1ˆσ ) ˆ ) ) ˆσ ˆ ˆ = J ˆ ˆτ ) σ ˆτ) dˆτ, E ISBN: ISSN: Prin); ISSN: Online) where he creep funcion J is known and J is is derivaive. Hence he viscoelasic crack ip opening becomes ˆδ v ˆ ) = [û v âˆ), ˆ)] = E 1 E [û e âˆ), )] ) ˆ ) = ˆδ e ˆ ) ˆ E J ˆ ˆτ ) ) [û e âˆ), ˆτ)]dˆτ. 13) In our numerical examples we use he creep funcion of a sandard linear solid of he Kelvin-Voig ype), namely J ˆ ˆτ ) = e E 1 η ˆ ˆτ) ), 14) E E 1 J ˆ ˆτ ) = 1 E η e 1 η ˆ ˆτ). Here, η and E 1 are maerial consans, η/e 1 being he relaxaion ime and η he viscosiy of he polymer. Such viscoelasic models saisfacorily model some polymers, e.g. PMMA also known as plexiglas). For J in he form 14), equaion 13) becomes ˆδ v ˆ ) = [û v âˆ), ˆ)] = ˆδ e ˆ ) + E ) ˆ e E 1 η ˆ ˆτ) [ûe âˆ), ˆτ)]dˆτ. 15) η Employing he normalised parameers δ v ) = E ) ˆδ v ˆ â ˆq 1 ν 2 ), A = E ˆ, A 1 = E 1ˆ, 16) η η equaion 15) reduces o he following expression for he normalised crack ip opening in he viscoelasic case, δ v ) = [u v a), )] = δ e ) + A ca)) e A1 τ) [u e a), τ)]dτ ), 17) where he lower limi of he inegral is replaced wih c a)) since [u e x, τ)] = when τ c x). In he numerical examples we used values A = and A 1 = The graphs in Figs. 7-9 show he saionary crack ip opening evoluion for b = 4 and differen β in he elasic and viscoelasic cases. Crack ip opening Fig β=b/2 β=b/4 β=b/ Crack ip opening vs ime for b = 4, elasic case WCE 213

5 Crack ip opening Fig. 8. Crack ip opening β=b/2 β=b/4 β=b/ Crack ip opening vs ime for b = 4, viscoelasic case elasic case viscoelasic case Fig. 9. Crack ip opening vs ime for b = 4, β = 1 IV. CRACK PROPAGATION We have, so far, assumed ha he crack is saionary and only he cohesive zone is growing ahead of he crack. However, he crack will sar o propagae when he crack ip opening ˆδ reaches a criical value ˆδ c, where ˆδ c is considered as a maerial consan. The crack and cohesive zone will no necessarily grow a he same rae. The ime insan, when he crack ip opening reaches a criical value, will be referred o as he fracure delay ime and denoed by ˆ d. Similar o 5), 11) and 16), we employ he following normalised parameers, d = ˆ d ˆδ c E, δ c = ˆ â ˆq1 ν 2 ). 18) The aim now is o find d, he crack ip coordinae a) and he CZ ip coordinae c) for > d. A. Numerical Mehod Considering uniformly spaced ime seps, he crack ip opening δ i ) saisfies equaion δ e i ) = δ c, i d. 19) for he purely elasic case and equaion δ v i ) = δ c, i d. 2) for he viscoelasic case, where δ v i ) is given by 17). We use he secan mehod o solve equaion 19) in he elasic case) or 2) in he viscoelasic case) for a i ). To do his, we need o know c i ) a each ieraion. I is obained using he secan mehod o solve he equaion Kc i ), i ) = for c i ), where he sress inensiy facor Kc, ) is given by 8). Noe ha we choose previous cohesive zone ip posiions, c m ), as iniial approximaions for a i ) wihin he secan algorihm. The advanage of doing his is ha we already know he sress hisory a hese previous poins since hey were compued in he previous ime seps. Noe ha c a i ) he ime insan when a i became par of he cohesive zone) is unknown for cases when a i c m ). Thus, we linearly inerpolae δ e c a i ), a i ) beween δ e m, a i ) and δ e m+1, a i ) where c m < a i < c m+1. During implemenaion of he algorihm, we come across he sep, i, where a i will exceed c i 1, and for decreasing cohesive zone lengh we will have a i > c i 1 in all he seps which follow. Thus, for hese seps, only 1 previous value of c namely c i 1 ) can be aken as an iniial approximaion of a i. To his end, we will modify he algorihm by fixing a i and compuing he corresponding i and c i by solving equaion 19) in he elasic case) or 2) in he viscoelasic case) seing he crack ip opening displacemen equal o he criical crack ip opening) and Kc i, i ) = seing he sress inensiy facor o ) respecively. B. Numerical resuls We used in our calculaions he value δ c = 1.13 for he normalised criical crack ip opening, cf. Appendix. Le h = 1/5 be he sep size in he ime mesh. For β = b/4 = 1, we have 51 and 48 ime seps before crack growh begins in he elasic and he viscoelasic cases, respecively, while d =.12 for he elasic case and d =.96 for he viscoelasic case. The graphs in Figs. 1 and 11 show coordinaes of he crack ip and he cohesive zone ip for boh he elasic and viscoelasic cases. lengh log scale) 1 1 Crack ip coordinae elasic) Crack ip coordinae viscoelasic) CZ ip coordinae elasic) CZ ip coordinae viscoelasic) Fig. 1. Lengh vs. ime for b = 4, β = 1 The graphs in Fig. 12 show he behaviour of he cohesive zone lengh wih ime. The graphs in Fig. 13 show he evoluion of CZ ip coordinae in ime for 3 cases of β. ISBN: ISSN: Prin); ISSN: Online) WCE 213

6 lengh log scale) Crack ip coordinae elasic) Crack ip coordinae viscoelasic) CZ ip coordinae elasic) CZ ip coordinae viscoelasic) Fig. 11. Lengh vs. ime for b = 4, β = 1 cz lengh purely elasic case viscoelasic case Fig. 12. CZ lengh vs. ime for b = 4, β = 1 ip opening. Moreover, as β becomes smaller, he crack ip opening increases more slowly wih ime. The obained graph of he crack ip opening displacemen for he viscoelasic case demonsraes ha he crack opens a a higher rae han in he elasic case. As a consequence, he fracure delay ime d is longer for he elasic case han for he viscoelasic one: for b = 4 and β = 1, we obained d =.12 for he elasic case and d =.96 for he viscoelasic case. For he growing crack sage, > d, we can see from Figure 1, ha he crack growh rae increases, while he cohesive zone lengh decreases wih ime. The ime, when he cohesive zone lengh becomes seems o coincide wih he ime when he crack lengh becomes infinie and can be associaed wih he complee fracure of he body. The graph of he cohesive zone lengh for he viscoelasic case indicaes ha he fracure ime is slighly smaller han ha for he purely elasic case. For example, for b = 4 and β = 1, he normalised fracure ime is r =.188 for he elasic case and r =.186 for he viscoelasic one. I can be seen from Figure 13 ha as β decreases, he fracure ime also decreases. APPENDIX To give an idea on he parameer scales, we provide here some maerial parameers for PMMA from [8] pages ), [9], and [1]. Poisson s raio ν =.35; Young s modulus of elasiciy E = 31 MPa; relaxaion ime η/e 1 = s; viscosiy η = MPa s; criical crack ip opening: ˆδ c =.16mm. Then by 18), δ c = 1.13 for ˆq =5MPa. Some experimenal daa on he saic creep rupure under ensile sress for PMMA a he room emperaure were repored in [11]. Fiing hese daa o he power-ype durabiliy curve ˆ ˆσ) = ˆσ/σ ) b will give values for b, σ, ˆ ˆq), A and A 1. c) log scale) 1 1 β=b/2 elasic) β=b/2 viscoelasic) β=b/4 elasic) β=b/4 viscoelasic) β=b/8 elasic) β=b/8 viscoelasic) Fig. 13. CZ ip coordinae vs. ime for b = 4 V. CONCLUSIONS The soluion converges as he mesh becomes finer. For he saionary crack sage, < d, he cohesive zone lengh is smaller for smaller β, for he same ime insan. We can see from Figure 6 ha he sress reaches a sharp maximum in coordinae a he cohesive zone ip and monoonically decreases wih he disance from he ip. As expeced, we have an increase, wih ime, of he crack REFERENCES [1] Dugdale D.S., Yielding of seel shees conaining slis, J. Mech. Phys. Solids, Vol. 8, 1-14, 196. [2] Leonov M.Ya., Panasyuk V.V., Developmen of he smalles cracks in he solid, Applied Mechanics Prikladnaya Mekhanika), Vol. 5, No. 4, , [3] Mikhailov S. E., Namesnikova I. V. Hisory-sensiive accumulaion rules for life-ime predicion under variable loading, Archive of Applied Mechanics, Vol. 81, , 211. [4] Mikhailov S.E., Namesnikova I.V., Local and non-local approaches o creep crack iniiaion and propagaion, Proceedings of he 9h Inernaional Conference on he Mechanical Behaviour of Maerials, Geneva, Swizerland, 23. [5] Hakim L, Mikhailov S.E., Nonlinear Abel ype inegral equaion in modelling creep crack propagaion, Inegral Mehods in Science and Engineering: Compuaional and Analyic Aspecs, ediors: C. Consanda C. and P. Harris, Springer, , 211. [6] Muskhelishvili N.I., Some Basic Problems of he Mahemaical Theory of Elasiciy, Noordhoff Inernaional Publishing, The Neherlands, [7] Rabonov IU. N. Elemens of herediary solid mechanics, Mir Publishers, Russia, [8] Mark J.E., Polymer Daa Handbook, Oxford Universiy Press, New York, [9] Ro H.W., Ding Y, Lee H.J., Hines D.R., Jones R.L., Lin E.K., Karim A., Wu W.L., Soles C.L., Evidence for inernal sresses induced by nanoimprin lihography, Journal of Vacuum Science and Technology B, Vol. 24, No. 6, 26. [1] Coerell B., Fracure and life, World Scienific, Singapore, 21. [11] McKenna G.B., Crissman J. M., A Reduced Variable Approach o Relaing Creep and Creep Rupure in PMMA, MRS Proceedings, Vol. 79, , ISBN: ISSN: Prin); ISSN: Online) WCE 213

Navneet Saini, Mayank Goyal, Vishal Bansal (2013); Term Project AML310; Indian Institute of Technology Delhi

Navneet Saini, Mayank Goyal, Vishal Bansal (2013); Term Project AML310; Indian Institute of Technology Delhi Creep in Viscoelasic Subsances Numerical mehods o calculae he coefficiens of he Prony equaion using creep es daa and Herediary Inegrals Mehod Navnee Saini, Mayank Goyal, Vishal Bansal (23); Term Projec

More information

New effective moduli of isotropic viscoelastic composites. Part I. Theoretical justification

New effective moduli of isotropic viscoelastic composites. Part I. Theoretical justification IOP Conference Series: Maerials Science and Engineering PAPE OPEN ACCESS New effecive moduli of isoropic viscoelasic composies. Par I. Theoreical jusificaion To cie his aricle: A A Sveashkov and A A akurov

More information

Analytic nonlinear elasto-viscosity of two types of BN and PI rubbers at large deformations

Analytic nonlinear elasto-viscosity of two types of BN and PI rubbers at large deformations Bulgarian Chemical Communicaions, Volume 48, Special Issue E (pp. 59-64) 016 Analyic nonlinear elaso-viscosiy of wo ypes of BN and PI rubbers a large deformaions K. B. Hadjov, A. S. Aleksandrov, M. P.

More information

Polymer Engineering (MM3POE)

Polymer Engineering (MM3POE) Polymer Engineering (MM3POE) VISCOELASTICITY hp://www.noingham.ac.uk/~eazacl/mm3poe Viscoelasiciy 1 Conens Wha is viscoelasiciy? Fundamenals Creep & creep recovery Sress relaxaion Modelling viscoelasic

More information

Final Spring 2007

Final Spring 2007 .615 Final Spring 7 Overview The purpose of he final exam is o calculae he MHD β limi in a high-bea oroidal okamak agains he dangerous n = 1 exernal ballooning-kink mode. Effecively, his corresponds o

More information

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle Chaper 2 Newonian Mechanics Single Paricle In his Chaper we will review wha Newon s laws of mechanics ell us abou he moion of a single paricle. Newon s laws are only valid in suiable reference frames,

More information

Structural Dynamics and Earthquake Engineering

Structural Dynamics and Earthquake Engineering Srucural Dynamics and Earhquae Engineering Course 1 Inroducion. Single degree of freedom sysems: Equaions of moion, problem saemen, soluion mehods. Course noes are available for download a hp://www.c.up.ro/users/aurelsraan/

More information

Vehicle Arrival Models : Headway

Vehicle Arrival Models : Headway Chaper 12 Vehicle Arrival Models : Headway 12.1 Inroducion Modelling arrival of vehicle a secion of road is an imporan sep in raffic flow modelling. I has imporan applicaion in raffic flow simulaion where

More information

Robotics I. April 11, The kinematics of a 3R spatial robot is specified by the Denavit-Hartenberg parameters in Tab. 1.

Robotics I. April 11, The kinematics of a 3R spatial robot is specified by the Denavit-Hartenberg parameters in Tab. 1. Roboics I April 11, 017 Exercise 1 he kinemaics of a 3R spaial robo is specified by he Denavi-Harenberg parameers in ab 1 i α i d i a i θ i 1 π/ L 1 0 1 0 0 L 3 0 0 L 3 3 able 1: able of DH parameers of

More information

Finite Element Analysis of Structures

Finite Element Analysis of Structures KAIT OE5 Finie Elemen Analysis of rucures Mid-erm Exam, Fall 9 (p) m. As shown in Fig., we model a russ srucure of uniform area (lengh, Area Am ) subjeced o a uniform body force ( f B e x N / m ) using

More information

Combined Bending with Induced or Applied Torsion of FRP I-Section Beams

Combined Bending with Induced or Applied Torsion of FRP I-Section Beams Combined Bending wih Induced or Applied Torsion of FRP I-Secion Beams MOJTABA B. SIRJANI School of Science and Technology Norfolk Sae Universiy Norfolk, Virginia 34504 USA sirjani@nsu.edu STEA B. BONDI

More information

Chapter 2. First Order Scalar Equations

Chapter 2. First Order Scalar Equations Chaper. Firs Order Scalar Equaions We sar our sudy of differenial equaions in he same way he pioneers in his field did. We show paricular echniques o solve paricular ypes of firs order differenial equaions.

More information

Summary of shear rate kinematics (part 1)

Summary of shear rate kinematics (part 1) InroToMaFuncions.pdf 4 CM465 To proceed o beer-designed consiuive equaions, we need o know more abou maerial behavior, i.e. we need more maerial funcions o predic, and we need measuremens of hese maerial

More information

4.6 One Dimensional Kinematics and Integration

4.6 One Dimensional Kinematics and Integration 4.6 One Dimensional Kinemaics and Inegraion When he acceleraion a( of an objec is a non-consan funcion of ime, we would like o deermine he ime dependence of he posiion funcion x( and he x -componen of

More information

Random Walk with Anti-Correlated Steps

Random Walk with Anti-Correlated Steps Random Walk wih Ani-Correlaed Seps John Noga Dirk Wagner 2 Absrac We conjecure he expeced value of random walks wih ani-correlaed seps o be exacly. We suppor his conjecure wih 2 plausibiliy argumens and

More information

Some Basic Information about M-S-D Systems

Some Basic Information about M-S-D Systems Some Basic Informaion abou M-S-D Sysems 1 Inroducion We wan o give some summary of he facs concerning unforced (homogeneous) and forced (non-homogeneous) models for linear oscillaors governed by second-order,

More information

A Shooting Method for A Node Generation Algorithm

A Shooting Method for A Node Generation Algorithm A Shooing Mehod for A Node Generaion Algorihm Hiroaki Nishikawa W.M.Keck Foundaion Laboraory for Compuaional Fluid Dynamics Deparmen of Aerospace Engineering, Universiy of Michigan, Ann Arbor, Michigan

More information

Kriging Models Predicting Atrazine Concentrations in Surface Water Draining Agricultural Watersheds

Kriging Models Predicting Atrazine Concentrations in Surface Water Draining Agricultural Watersheds 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Kriging Models Predicing Arazine Concenraions in Surface Waer Draining Agriculural Waersheds Paul L. Mosquin, Jeremy Aldworh, Wenlin Chen Supplemenal Maerial Number

More information

4.5 Constant Acceleration

4.5 Constant Acceleration 4.5 Consan Acceleraion v() v() = v 0 + a a() a a() = a v 0 Area = a (a) (b) Figure 4.8 Consan acceleraion: (a) velociy, (b) acceleraion When he x -componen of he velociy is a linear funcion (Figure 4.8(a)),

More information

Math 10B: Mock Mid II. April 13, 2016

Math 10B: Mock Mid II. April 13, 2016 Name: Soluions Mah 10B: Mock Mid II April 13, 016 1. ( poins) Sae, wih jusificaion, wheher he following saemens are rue or false. (a) If a 3 3 marix A saisfies A 3 A = 0, hen i canno be inverible. True.

More information

Module 2 F c i k c s la l w a s o s f dif di fusi s o i n

Module 2 F c i k c s la l w a s o s f dif di fusi s o i n Module Fick s laws of diffusion Fick s laws of diffusion and hin film soluion Adolf Fick (1855) proposed: d J α d d d J (mole/m s) flu (m /s) diffusion coefficien and (mole/m 3 ) concenraion of ions, aoms

More information

A New Perturbative Approach in Nonlinear Singularity Analysis

A New Perturbative Approach in Nonlinear Singularity Analysis Journal of Mahemaics and Saisics 7 (: 49-54, ISSN 549-644 Science Publicaions A New Perurbaive Approach in Nonlinear Singulariy Analysis Ta-Leung Yee Deparmen of Mahemaics and Informaion Technology, The

More information

Variational Iteration Method for Solving System of Fractional Order Ordinary Differential Equations

Variational Iteration Method for Solving System of Fractional Order Ordinary Differential Equations IOSR Journal of Mahemaics (IOSR-JM) e-issn: 2278-5728, p-issn: 2319-765X. Volume 1, Issue 6 Ver. II (Nov - Dec. 214), PP 48-54 Variaional Ieraion Mehod for Solving Sysem of Fracional Order Ordinary Differenial

More information

2. Nonlinear Conservation Law Equations

2. Nonlinear Conservation Law Equations . Nonlinear Conservaion Law Equaions One of he clear lessons learned over recen years in sudying nonlinear parial differenial equaions is ha i is generally no wise o ry o aack a general class of nonlinear

More information

Solutions from Chapter 9.1 and 9.2

Solutions from Chapter 9.1 and 9.2 Soluions from Chaper 9 and 92 Secion 9 Problem # This basically boils down o an exercise in he chain rule from calculus We are looking for soluions of he form: u( x) = f( k x c) where k x R 3 and k is

More information

Simulation-Solving Dynamic Models ABE 5646 Week 2, Spring 2010

Simulation-Solving Dynamic Models ABE 5646 Week 2, Spring 2010 Simulaion-Solving Dynamic Models ABE 5646 Week 2, Spring 2010 Week Descripion Reading Maerial 2 Compuer Simulaion of Dynamic Models Finie Difference, coninuous saes, discree ime Simple Mehods Euler Trapezoid

More information

Class Meeting # 10: Introduction to the Wave Equation

Class Meeting # 10: Introduction to the Wave Equation MATH 8.5 COURSE NOTES - CLASS MEETING # 0 8.5 Inroducion o PDEs, Fall 0 Professor: Jared Speck Class Meeing # 0: Inroducion o he Wave Equaion. Wha is he wave equaion? The sandard wave equaion for a funcion

More information

Morning Time: 1 hour 30 minutes Additional materials (enclosed):

Morning Time: 1 hour 30 minutes Additional materials (enclosed): ADVANCED GCE 78/0 MATHEMATICS (MEI) Differenial Equaions THURSDAY JANUARY 008 Morning Time: hour 30 minues Addiional maerials (enclosed): None Addiional maerials (required): Answer Bookle (8 pages) Graph

More information

EXERCISES FOR SECTION 1.5

EXERCISES FOR SECTION 1.5 1.5 Exisence and Uniqueness of Soluions 43 20. 1 v c 21. 1 v c 1 2 4 6 8 10 1 2 2 4 6 8 10 Graph of approximae soluion obained using Euler s mehod wih = 0.1. Graph of approximae soluion obained using Euler

More information

MECHANICS OF MATERIALS Poisson s Ratio

MECHANICS OF MATERIALS Poisson s Ratio Poisson s Raio For a slender bar subjeced o axial loading: ε x x y 0 The elongaion in he x-direcion i is accompanied by a conracion in he oher direcions. Assuming ha he maerial is isoropic (no direcional

More information

Chapter 8 The Complete Response of RL and RC Circuits

Chapter 8 The Complete Response of RL and RC Circuits Chaper 8 The Complee Response of RL and RC Circuis Seoul Naional Universiy Deparmen of Elecrical and Compuer Engineering Wha is Firs Order Circuis? Circuis ha conain only one inducor or only one capacior

More information

23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes

23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes Represening Periodic Funcions by Fourier Series 3. Inroducion In his Secion we show how a periodic funcion can be expressed as a series of sines and cosines. We begin by obaining some sandard inegrals

More information

dy dx = xey (a) y(0) = 2 (b) y(1) = 2.5 SOLUTION: See next page

dy dx = xey (a) y(0) = 2 (b) y(1) = 2.5 SOLUTION: See next page Assignmen 1 MATH 2270 SOLUTION Please wrie ou complee soluions for each of he following 6 problems (one more will sill be added). You may, of course, consul wih your classmaes, he exbook or oher resources,

More information

The Asymptotic Behavior of Nonoscillatory Solutions of Some Nonlinear Dynamic Equations on Time Scales

The Asymptotic Behavior of Nonoscillatory Solutions of Some Nonlinear Dynamic Equations on Time Scales Advances in Dynamical Sysems and Applicaions. ISSN 0973-5321 Volume 1 Number 1 (2006, pp. 103 112 c Research India Publicaions hp://www.ripublicaion.com/adsa.hm The Asympoic Behavior of Nonoscillaory Soluions

More information

ES240 Solid Mechanics Fall 2007

ES240 Solid Mechanics Fall 2007 ES4 Solid Mechanics Fall 7 Viscoelasiciy References NG McCrum, CP Buckley, and CB Bucknall, Principles of Polymer Engineering, nd ediion, Oxford Universiy Press, 997 A good balance of heory and applicaion

More information

Program: RFEM 5, RSTAB 8, RF-DYNAM Pro, DYNAM Pro. Category: Isotropic Linear Elasticity, Dynamics, Member

Program: RFEM 5, RSTAB 8, RF-DYNAM Pro, DYNAM Pro. Category: Isotropic Linear Elasticity, Dynamics, Member Verificaion Example Program: RFEM 5, RSTAB 8, RF-DYNAM Pro, DYNAM Pro Caegory: Isoropic Linear Elasiciy, Dynamics, Member Verificaion Example: 0104 Canilever Beam wih Periodic Exciaion 0104 Canilever Beam

More information

Online Appendix to Solution Methods for Models with Rare Disasters

Online Appendix to Solution Methods for Models with Rare Disasters Online Appendix o Soluion Mehods for Models wih Rare Disasers Jesús Fernández-Villaverde and Oren Levinal In his Online Appendix, we presen he Euler condiions of he model, we develop he pricing Calvo block,

More information

Theory of! Partial Differential Equations!

Theory of! Partial Differential Equations! hp://www.nd.edu/~gryggva/cfd-course/! Ouline! Theory o! Parial Dierenial Equaions! Gréar Tryggvason! Spring 011! Basic Properies o PDE!! Quasi-linear Firs Order Equaions! - Characerisics! - Linear and

More information

Chapter 3 Boundary Value Problem

Chapter 3 Boundary Value Problem Chaper 3 Boundary Value Problem A boundary value problem (BVP) is a problem, ypically an ODE or a PDE, which has values assigned on he physical boundary of he domain in which he problem is specified. Le

More information

Hamilton- J acobi Equation: Weak S olution We continue the study of the Hamilton-Jacobi equation:

Hamilton- J acobi Equation: Weak S olution We continue the study of the Hamilton-Jacobi equation: M ah 5 7 Fall 9 L ecure O c. 4, 9 ) Hamilon- J acobi Equaion: Weak S oluion We coninue he sudy of he Hamilon-Jacobi equaion: We have shown ha u + H D u) = R n, ) ; u = g R n { = }. ). In general we canno

More information

Wall. x(t) f(t) x(t = 0) = x 0, t=0. which describes the motion of the mass in absence of any external forcing.

Wall. x(t) f(t) x(t = 0) = x 0, t=0. which describes the motion of the mass in absence of any external forcing. MECHANICS APPLICATIONS OF SECOND-ORDER ODES 7 Mechanics applicaions of second-order ODEs Second-order linear ODEs wih consan coefficiens arise in many physical applicaions. One physical sysems whose behaviour

More information

( ) ( ) if t = t. It must satisfy the identity. So, bulkiness of the unit impulse (hyper)function is equal to 1. The defining characteristic is

( ) ( ) if t = t. It must satisfy the identity. So, bulkiness of the unit impulse (hyper)function is equal to 1. The defining characteristic is UNIT IMPULSE RESPONSE, UNIT STEP RESPONSE, STABILITY. Uni impulse funcion (Dirac dela funcion, dela funcion) rigorously defined is no sricly a funcion, bu disribuion (or measure), precise reamen requires

More information

d 1 = c 1 b 2 - b 1 c 2 d 2 = c 1 b 3 - b 1 c 3

d 1 = c 1 b 2 - b 1 c 2 d 2 = c 1 b 3 - b 1 c 3 and d = c b - b c c d = c b - b c c This process is coninued unil he nh row has been compleed. The complee array of coefficiens is riangular. Noe ha in developing he array an enire row may be divided or

More information

What Ties Return Volatilities to Price Valuations and Fundamentals? On-Line Appendix

What Ties Return Volatilities to Price Valuations and Fundamentals? On-Line Appendix Wha Ties Reurn Volailiies o Price Valuaions and Fundamenals? On-Line Appendix Alexander David Haskayne School of Business, Universiy of Calgary Piero Veronesi Universiy of Chicago Booh School of Business,

More information

15. Vector Valued Functions

15. Vector Valued Functions 1. Vecor Valued Funcions Up o his poin, we have presened vecors wih consan componens, for example, 1, and,,4. However, we can allow he componens of a vecor o be funcions of a common variable. For example,

More information

Stochastic Model for Cancer Cell Growth through Single Forward Mutation

Stochastic Model for Cancer Cell Growth through Single Forward Mutation Journal of Modern Applied Saisical Mehods Volume 16 Issue 1 Aricle 31 5-1-2017 Sochasic Model for Cancer Cell Growh hrough Single Forward Muaion Jayabharahiraj Jayabalan Pondicherry Universiy, jayabharahi8@gmail.com

More information

!!"#"$%&#'()!"#&'(*%)+,&',-)./0)1-*23)

!!#$%&#'()!#&'(*%)+,&',-)./0)1-*23) "#"$%&#'()"#&'(*%)+,&',-)./)1-*) #$%&'()*+,&',-.%,/)*+,-&1*#$)()5*6$+$%*,7&*-'-&1*(,-&*6&,7.$%$+*&%'(*8$&',-,%'-&1*(,-&*6&,79*(&,%: ;..,*&1$&$.$%&'()*1$$.,'&',-9*(&,%)?%*,('&5

More information

Unsteady Flow Problems

Unsteady Flow Problems School of Mechanical Aerospace and Civil Engineering Unseady Flow Problems T. J. Craf George Begg Building, C41 TPFE MSc CFD-1 Reading: J. Ferziger, M. Peric, Compuaional Mehods for Fluid Dynamics H.K.

More information

Testing for a Single Factor Model in the Multivariate State Space Framework

Testing for a Single Factor Model in the Multivariate State Space Framework esing for a Single Facor Model in he Mulivariae Sae Space Framework Chen C.-Y. M. Chiba and M. Kobayashi Inernaional Graduae School of Social Sciences Yokohama Naional Universiy Japan Faculy of Economics

More information

A Note on the Equivalence of Fractional Relaxation Equations to Differential Equations with Varying Coefficients

A Note on the Equivalence of Fractional Relaxation Equations to Differential Equations with Varying Coefficients mahemaics Aricle A Noe on he Equivalence of Fracional Relaxaion Equaions o Differenial Equaions wih Varying Coefficiens Francesco Mainardi Deparmen of Physics and Asronomy, Universiy of Bologna, and he

More information

A Hop Constrained Min-Sum Arborescence with Outage Costs

A Hop Constrained Min-Sum Arborescence with Outage Costs A Hop Consrained Min-Sum Arborescence wih Ouage Coss Rakesh Kawara Minnesoa Sae Universiy, Mankao, MN 56001 Email: Kawara@mnsu.edu Absrac The hop consrained min-sum arborescence wih ouage coss problem

More information

RC, RL and RLC circuits

RC, RL and RLC circuits Name Dae Time o Complee h m Parner Course/ Secion / Grade RC, RL and RLC circuis Inroducion In his experimen we will invesigae he behavior of circuis conaining combinaions of resisors, capaciors, and inducors.

More information

The expectation value of the field operator.

The expectation value of the field operator. The expecaion value of he field operaor. Dan Solomon Universiy of Illinois Chicago, IL dsolom@uic.edu June, 04 Absrac. Much of he mahemaical developmen of quanum field heory has been in suppor of deermining

More information

Stability and Bifurcation in a Neural Network Model with Two Delays

Stability and Bifurcation in a Neural Network Model with Two Delays Inernaional Mahemaical Forum, Vol. 6, 11, no. 35, 175-1731 Sabiliy and Bifurcaion in a Neural Nework Model wih Two Delays GuangPing Hu and XiaoLing Li School of Mahemaics and Physics, Nanjing Universiy

More information

v A Since the axial rigidity k ij is defined by P/v A, we obtain Pa 3

v A Since the axial rigidity k ij is defined by P/v A, we obtain Pa 3 The The rd rd Inernaional Conference on on Design Engineering and Science, ICDES 14 Pilsen, Czech Pilsen, Republic, Czech Augus Republic, 1 Sepember 1-, 14 In-plane and Ou-of-plane Deflecion of J-shaped

More information

At the end of this lesson, the students should be able to understand

At the end of this lesson, the students should be able to understand Insrucional Objecives A he end of his lesson, he sudens should be able o undersand Sress concenraion and he facors responsible. Deerminaion of sress concenraion facor; experimenal and heoreical mehods.

More information

Solutions to Assignment 1

Solutions to Assignment 1 MA 2326 Differenial Equaions Insrucor: Peronela Radu Friday, February 8, 203 Soluions o Assignmen. Find he general soluions of he following ODEs: (a) 2 x = an x Soluion: I is a separable equaion as we

More information

Spring Ammar Abu-Hudrouss Islamic University Gaza

Spring Ammar Abu-Hudrouss Islamic University Gaza Chaper 7 Reed-Solomon Code Spring 9 Ammar Abu-Hudrouss Islamic Universiy Gaza ١ Inroducion A Reed Solomon code is a special case of a BCH code in which he lengh of he code is one less han he size of he

More information

- If one knows that a magnetic field has a symmetry, one may calculate the magnitude of B by use of Ampere s law: The integral of scalar product

- If one knows that a magnetic field has a symmetry, one may calculate the magnitude of B by use of Ampere s law: The integral of scalar product 11.1 APPCATON OF AMPEE S AW N SYMMETC MAGNETC FEDS - f one knows ha a magneic field has a symmery, one may calculae he magniude of by use of Ampere s law: The inegral of scalar produc Closed _ pah * d

More information

Theory of! Partial Differential Equations-I!

Theory of! Partial Differential Equations-I! hp://users.wpi.edu/~grear/me61.hml! Ouline! Theory o! Parial Dierenial Equaions-I! Gréar Tryggvason! Spring 010! Basic Properies o PDE!! Quasi-linear Firs Order Equaions! - Characerisics! - Linear and

More information

WEEK-3 Recitation PHYS 131. of the projectile s velocity remains constant throughout the motion, since the acceleration a x

WEEK-3 Recitation PHYS 131. of the projectile s velocity remains constant throughout the motion, since the acceleration a x WEEK-3 Reciaion PHYS 131 Ch. 3: FOC 1, 3, 4, 6, 14. Problems 9, 37, 41 & 71 and Ch. 4: FOC 1, 3, 5, 8. Problems 3, 5 & 16. Feb 8, 018 Ch. 3: FOC 1, 3, 4, 6, 14. 1. (a) The horizonal componen of he projecile

More information

6.2 Transforms of Derivatives and Integrals.

6.2 Transforms of Derivatives and Integrals. SEC. 6.2 Transforms of Derivaives and Inegrals. ODEs 2 3 33 39 23. Change of scale. If l( f ()) F(s) and c is any 33 45 APPLICATION OF s-shifting posiive consan, show ha l( f (c)) F(s>c)>c (Hin: In Probs.

More information

V AK (t) I T (t) I TRM. V AK( full area) (t) t t 1 Axial turn-on. Switching losses for Phase Control and Bi- Directionally Controlled Thyristors

V AK (t) I T (t) I TRM. V AK( full area) (t) t t 1 Axial turn-on. Switching losses for Phase Control and Bi- Directionally Controlled Thyristors Applicaion Noe Swiching losses for Phase Conrol and Bi- Direcionally Conrolled Thyrisors V AK () I T () Causing W on I TRM V AK( full area) () 1 Axial urn-on Plasma spread 2 Swiching losses for Phase Conrol

More information

arxiv: v1 [math.na] 23 Feb 2016

arxiv: v1 [math.na] 23 Feb 2016 EPJ Web of Conferences will be se by he publisher DOI: will be se by he publisher c Owned by he auhors, published by EDP Sciences, 16 arxiv:163.67v1 [mah.na] 3 Feb 16 Numerical Soluion of a Nonlinear Inegro-Differenial

More information

Viscoelastic Catenary

Viscoelastic Catenary Viscoelasic Caenary Anshuman Roy 1 Inroducion This paper seeks o deermine he shape of a hin viscoelasic fluid filamen as i sags under is own weigh. The problem is an exension of he viscous caenary [1]

More information

G. =, etc.

G. =, etc. Maerial Models υ υ3 0 0 0 υ υ 3 0 0 0 υ3 υ3 0 0 0 = 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 3 l (9..4) he subscris denoe he maerial axes, i.e., υ = υ and = (9..5) i j xi xj ii xi Since l is symmeric υ υ =, ec.

More information

L p -L q -Time decay estimate for solution of the Cauchy problem for hyperbolic partial differential equations of linear thermoelasticity

L p -L q -Time decay estimate for solution of the Cauchy problem for hyperbolic partial differential equations of linear thermoelasticity ANNALES POLONICI MATHEMATICI LIV.2 99) L p -L q -Time decay esimae for soluion of he Cauchy problem for hyperbolic parial differenial equaions of linear hermoelasiciy by Jerzy Gawinecki Warszawa) Absrac.

More information

Lab 10: RC, RL, and RLC Circuits

Lab 10: RC, RL, and RLC Circuits Lab 10: RC, RL, and RLC Circuis In his experimen, we will invesigae he behavior of circuis conaining combinaions of resisors, capaciors, and inducors. We will sudy he way volages and currens change in

More information

1 1 + x 2 dx. tan 1 (2) = ] ] x 3. Solution: Recall that the given integral is improper because. x 3. 1 x 3. dx = lim dx.

1 1 + x 2 dx. tan 1 (2) = ] ] x 3. Solution: Recall that the given integral is improper because. x 3. 1 x 3. dx = lim dx. . Use Simpson s rule wih n 4 o esimae an () +. Soluion: Since we are using 4 seps, 4 Thus we have [ ( ) f() + 4f + f() + 4f 3 [ + 4 4 6 5 + + 4 4 3 + ] 5 [ + 6 6 5 + + 6 3 + ]. 5. Our funcion is f() +.

More information

KEY. Math 334 Midterm III Winter 2008 section 002 Instructor: Scott Glasgow

KEY. Math 334 Midterm III Winter 2008 section 002 Instructor: Scott Glasgow KEY Mah 334 Miderm III Winer 008 secion 00 Insrucor: Sco Glasgow Please do NOT wrie on his exam. No credi will be given for such work. Raher wrie in a blue book, or on your own paper, preferably engineering

More information

Linear Response Theory: The connection between QFT and experiments

Linear Response Theory: The connection between QFT and experiments Phys540.nb 39 3 Linear Response Theory: The connecion beween QFT and experimens 3.1. Basic conceps and ideas Q: How do we measure he conduciviy of a meal? A: we firs inroduce a weak elecric field E, and

More information

ON THE BEAT PHENOMENON IN COUPLED SYSTEMS

ON THE BEAT PHENOMENON IN COUPLED SYSTEMS 8 h ASCE Specialy Conference on Probabilisic Mechanics and Srucural Reliabiliy PMC-38 ON THE BEAT PHENOMENON IN COUPLED SYSTEMS S. K. Yalla, Suden Member ASCE and A. Kareem, M. ASCE NaHaz Modeling Laboraory,

More information

T L. t=1. Proof of Lemma 1. Using the marginal cost accounting in Equation(4) and standard arguments. t )+Π RB. t )+K 1(Q RB

T L. t=1. Proof of Lemma 1. Using the marginal cost accounting in Equation(4) and standard arguments. t )+Π RB. t )+K 1(Q RB Elecronic Companion EC.1. Proofs of Technical Lemmas and Theorems LEMMA 1. Le C(RB) be he oal cos incurred by he RB policy. Then we have, T L E[C(RB)] 3 E[Z RB ]. (EC.1) Proof of Lemma 1. Using he marginal

More information

Lecture 10: Wave equation, solution by spherical means

Lecture 10: Wave equation, solution by spherical means Lecure : Wave equaion, soluion by spherical means Physical modeling eample: Elasodynamics u (; ) displacemen vecor in elasic body occupying a domain U R n, U, The posiion of he maerial poin siing a U in

More information

The equation to any straight line can be expressed in the form:

The equation to any straight line can be expressed in the form: Sring Graphs Par 1 Answers 1 TI-Nspire Invesigaion Suden min Aims Deermine a series of equaions of sraigh lines o form a paern similar o ha formed by he cables on he Jerusalem Chords Bridge. Deermine he

More information

Basilio Bona ROBOTICA 03CFIOR 1

Basilio Bona ROBOTICA 03CFIOR 1 Indusrial Robos Kinemaics 1 Kinemaics and kinemaic funcions Kinemaics deals wih he sudy of four funcions (called kinemaic funcions or KFs) ha mahemaically ransform join variables ino caresian variables

More information

Traveling Waves. Chapter Introduction

Traveling Waves. Chapter Introduction Chaper 4 Traveling Waves 4.1 Inroducion To dae, we have considered oscillaions, i.e., periodic, ofen harmonic, variaions of a physical characerisic of a sysem. The sysem a one ime is indisinguishable from

More information

Lecture 2-1 Kinematics in One Dimension Displacement, Velocity and Acceleration Everything in the world is moving. Nothing stays still.

Lecture 2-1 Kinematics in One Dimension Displacement, Velocity and Acceleration Everything in the world is moving. Nothing stays still. Lecure - Kinemaics in One Dimension Displacemen, Velociy and Acceleraion Everyhing in he world is moving. Nohing says sill. Moion occurs a all scales of he universe, saring from he moion of elecrons in

More information

Pade and Laguerre Approximations Applied. to the Active Queue Management Model. of Internet Protocol

Pade and Laguerre Approximations Applied. to the Active Queue Management Model. of Internet Protocol Applied Mahemaical Sciences, Vol. 7, 013, no. 16, 663-673 HIKARI Ld, www.m-hikari.com hp://dx.doi.org/10.1988/ams.013.39499 Pade and Laguerre Approximaions Applied o he Acive Queue Managemen Model of Inerne

More information

t is a basis for the solution space to this system, then the matrix having these solutions as columns, t x 1 t, x 2 t,... x n t x 2 t...

t is a basis for the solution space to this system, then the matrix having these solutions as columns, t x 1 t, x 2 t,... x n t x 2 t... Mah 228- Fri Mar 24 5.6 Marix exponenials and linear sysems: The analogy beween firs order sysems of linear differenial equaions (Chaper 5) and scalar linear differenial equaions (Chaper ) is much sronger

More information

E β t log (C t ) + M t M t 1. = Y t + B t 1 P t. B t 0 (3) v t = P tc t M t Question 1. Find the FOC s for an optimum in the agent s problem.

E β t log (C t ) + M t M t 1. = Y t + B t 1 P t. B t 0 (3) v t = P tc t M t Question 1. Find the FOC s for an optimum in the agent s problem. Noes, M. Krause.. Problem Se 9: Exercise on FTPL Same model as in paper and lecure, only ha one-period govenmen bonds are replaced by consols, which are bonds ha pay one dollar forever. I has curren marke

More information

Differential Equations

Differential Equations Mah 21 (Fall 29) Differenial Equaions Soluion #3 1. Find he paricular soluion of he following differenial equaion by variaion of parameer (a) y + y = csc (b) 2 y + y y = ln, > Soluion: (a) The corresponding

More information

in Engineering Prof. Dr. Michael Havbro Faber ETH Zurich, Switzerland Swiss Federal Institute of Technology

in Engineering Prof. Dr. Michael Havbro Faber ETH Zurich, Switzerland Swiss Federal Institute of Technology Risk and Saey in Engineering Pro. Dr. Michael Havbro Faber ETH Zurich, Swizerland Conens o Today's Lecure Inroducion o ime varian reliabiliy analysis The Poisson process The ormal process Assessmen o he

More information

NEWTON S SECOND LAW OF MOTION

NEWTON S SECOND LAW OF MOTION Course and Secion Dae Names NEWTON S SECOND LAW OF MOTION The acceleraion of an objec is defined as he rae of change of elociy. If he elociy changes by an amoun in a ime, hen he aerage acceleraion during

More information

Mechanical Fatigue and Load-Induced Aging of Loudspeaker Suspension. Wolfgang Klippel,

Mechanical Fatigue and Load-Induced Aging of Loudspeaker Suspension. Wolfgang Klippel, Mechanical Faigue and Load-Induced Aging of Loudspeaker Suspension Wolfgang Klippel, Insiue of Acousics and Speech Communicaion Dresden Universiy of Technology presened a he ALMA Symposium 2012, Las Vegas

More information

Oscillation of an Euler Cauchy Dynamic Equation S. Huff, G. Olumolode, N. Pennington, and A. Peterson

Oscillation of an Euler Cauchy Dynamic Equation S. Huff, G. Olumolode, N. Pennington, and A. Peterson PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON DYNAMICAL SYSTEMS AND DIFFERENTIAL EQUATIONS May 4 7, 00, Wilmingon, NC, USA pp 0 Oscillaion of an Euler Cauchy Dynamic Equaion S Huff, G Olumolode,

More information

EECE251. Circuit Analysis I. Set 4: Capacitors, Inductors, and First-Order Linear Circuits

EECE251. Circuit Analysis I. Set 4: Capacitors, Inductors, and First-Order Linear Circuits EEE25 ircui Analysis I Se 4: apaciors, Inducors, and Firs-Order inear ircuis Shahriar Mirabbasi Deparmen of Elecrical and ompuer Engineering Universiy of Briish olumbia shahriar@ece.ubc.ca Overview Passive

More information

KINEMATICS IN ONE DIMENSION

KINEMATICS IN ONE DIMENSION KINEMATICS IN ONE DIMENSION PREVIEW Kinemaics is he sudy of how hings move how far (disance and displacemen), how fas (speed and velociy), and how fas ha how fas changes (acceleraion). We say ha an objec

More information

Ordinary dierential equations

Ordinary dierential equations Chaper 5 Ordinary dierenial equaions Conens 5.1 Iniial value problem........................... 31 5. Forward Euler's mehod......................... 3 5.3 Runge-Kua mehods.......................... 36

More information

ANALYSIS OF REINFORCED CONCRETE BUILDINGS IN FIRE

ANALYSIS OF REINFORCED CONCRETE BUILDINGS IN FIRE ANALYSIS OF REINFORCED CONCRETE BUILDINGS IN FIRE Dr Zhaohui Huang Universiy of Sheffield 6 May 2005 1 VULCAN layered slab elemens: connecion o beam elemens Plae Elemen Slab nodes y x Reference Plane h

More information

Generalized Chebyshev polynomials

Generalized Chebyshev polynomials Generalized Chebyshev polynomials Clemene Cesarano Faculy of Engineering, Inernaional Telemaic Universiy UNINETTUNO Corso Viorio Emanuele II, 39 86 Roma, Ialy email: c.cesarano@unineunouniversiy.ne ABSTRACT

More information

The Paradox of Twins Described in a Three-dimensional Space-time Frame

The Paradox of Twins Described in a Three-dimensional Space-time Frame The Paradox of Twins Described in a Three-dimensional Space-ime Frame Tower Chen E_mail: chen@uguam.uog.edu Division of Mahemaical Sciences Universiy of Guam, USA Zeon Chen E_mail: zeon_chen@yahoo.com

More information

Numerical Dispersion

Numerical Dispersion eview of Linear Numerical Sabiliy Numerical Dispersion n he previous lecure, we considered he linear numerical sabiliy of boh advecion and diffusion erms when approimaed wih several spaial and emporal

More information

Velocity-based boundary integral equation formulation in the time domain

Velocity-based boundary integral equation formulation in the time domain Mesh Reducion Mehods 271 Velociy-based boundary inegral equaion formulaion in he ime domain G. D. Manolis & C. G. Panagioopoulos Deparmen of Civil Engineering, Arisole Universiy of Thessaloniki, Thessaloniki,

More information

ψ(t) = V x (0)V x (t)

ψ(t) = V x (0)V x (t) .93 Home Work Se No. (Professor Sow-Hsin Chen Spring Term 5. Due March 7, 5. This problem concerns calculaions of analyical expressions for he self-inermediae scaering funcion (ISF of he es paricle in

More information

Robust estimation based on the first- and third-moment restrictions of the power transformation model

Robust estimation based on the first- and third-moment restrictions of the power transformation model h Inernaional Congress on Modelling and Simulaion, Adelaide, Ausralia, 6 December 3 www.mssanz.org.au/modsim3 Robus esimaion based on he firs- and hird-momen resricions of he power ransformaion Nawaa,

More information

Supplement for Stochastic Convex Optimization: Faster Local Growth Implies Faster Global Convergence

Supplement for Stochastic Convex Optimization: Faster Local Growth Implies Faster Global Convergence Supplemen for Sochasic Convex Opimizaion: Faser Local Growh Implies Faser Global Convergence Yi Xu Qihang Lin ianbao Yang Proof of heorem heorem Suppose Assumpion holds and F (w) obeys he LGC (6) Given

More information

Let us start with a two dimensional case. We consider a vector ( x,

Let us start with a two dimensional case. We consider a vector ( x, Roaion marices We consider now roaion marices in wo and hree dimensions. We sar wih wo dimensions since wo dimensions are easier han hree o undersand, and one dimension is a lile oo simple. However, our

More information

Keywords: thermal stress; thermal fatigue; inverse analysis; heat conduction; regularization

Keywords: thermal stress; thermal fatigue; inverse analysis; heat conduction; regularization Proceedings Inverse Analysis for Esimaing Temperaure and Residual Sress Disribuions in a Pipe from Ouer Surface Temperaure Measuremen and Is Regularizaion Shiro Kubo * and Shoki Taguwa Deparmen of Mechanical

More information

3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon

3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon 3..3 INRODUCION O DYNAMIC OPIMIZAION: DISCREE IME PROBLEMS A. he Hamilonian and Firs-Order Condiions in a Finie ime Horizon Define a new funcion, he Hamilonian funcion, H. H he change in he oal value of

More information