MESHLESS METHODS: ALTERNATIVES FOR SOLVING 2D ELASTICITY PROBLEMS

Size: px
Start display at page:

Download "MESHLESS METHODS: ALTERNATIVES FOR SOLVING 2D ELASTICITY PROBLEMS"

Transcription

1 nrnatonal Cvl Engneerng Conference "Towards Sustanable Cvl Engneerng Practce" Surabaa, August 25-26, 2006 MESHLESS METHODS: ALTERNATVES FOR SOLVNG 2D ELASTCTY PROBLEMS Effend TANOJO 1, Pamuda PUDJSURYAD 1 ABSTRACT: n recent ears mesless metods ave been developed as alrnatves to wellknown and wdel used fn element metod. Te man objectve n developng mesless metods s to overcome dffcult of mesng and remesng procedure of complex structural elements, wc s one of drawbacks of fn element metod. n mesless metods, element defnton s no longer needed to dscretze problem doman, onl nodal ponts defnton and boundar condtons of doman are necessar. Ts paper presents concepts bend some promnent mesless metods: element-free Galerkn, mesless local Petrov-Galerkn, and fn pont metod. Te dervatons of se metods for solvng 2D elastct problems wll also be presend and appled to a case problem. Te relts wll n be compared wt ones obtaned b fn element metod and exact solutons. KEYWORDS: Fn Element Metod, mesless, Element-Free Galerkn, Mesless Local Petrov- Galerkn, Fn Pont. 1. NTRODUCTON Fn element metod as been wdel-known and well-accepd to be used n man engneerng applcatons. However complex engneerng problems, uall ones nvolvng a contnuous cange n geometr of problem doman caused b crack propagaton or large deformaton, cannot be solved easl usng fn element metod, as requre a lot of remesng procedure to enre tat problem dscretzaton stll concdes wt geometr of real structure as t contnuousl canges. Mesless metods provde alrnatves to overcome ts problem as, unlke fn element metod, do not requre defnton of elements to dscretze problem doman. To dscretze problem doman, mesless metods requre onl defnton of nodal ponts. Te redscretzaton procedure of problem doman as t contnuousl canges s done b addng and/or movng nodal ponts onl, wtout need of redefnng elements n eac redscretzaton. Tus complex mesng and remesng procedure s no longer needed, or n some cases sgnfcantl reduced. Durng recent ears, man mesless metods ave been proposed and developed. Among m, element-free galerkn [1], mesless local petrov-galerkn [2], and fn pont metod [3] can be consdered as promnent ones. Ts paper wll present concept and dervaton of tree aforementoned metods for solvng 2D elastct problems. Te relts obtaned from se metods, as are appled to a st problem, wll be compared to ones obtaned b usng fn element metod. 1 Lecturer, Dept. of Cvl Engneerng, Petra Crstan Unverst, ndonesa 65

2 TANOJO and PUDJSURYAD 2. THEORY OF ELASTCTY Te governng dfferental equaton requred to be satsfed at all ponts n doman,, for two dmensonal problem, omogeneous and sotropc maral, s defned as σ j,j + F = 0, (1) were and j at ndex represent numbers 1 and 2 (or drecton x and n two dmensonal doman), σ j,j are stress components correspondng wt dsplacement feld u, and F are bod force components actng drecton at. Te boundar condtons of doman, Γ = Γ u U Γ t, are as follows: u = u at Γ u, t = t at Γ t, (2a) (2b) were rface tractons are defned b t = σ j. n j, were n j are unts normal to boundar Γ, u and t are prescrbed values of dsplacements and tractons at boundar Γ u and Γ t, respectvel. Γ u smbolzes essental boundar, Γ t smbolzes non-essental boundar. 3. MESHLESS METHODS Generall mesless metods, to keep ts local caracr, use a local approxmaton to represent values of unknown varables at some random nodal ponts wt tral functon. Next, most wdel used local approxmaton for mesless metods, movng least-squares approxmaton, wll be dscussed. t wll be followed n b concepts and dervatons of tree aforementoned mesless metods for solvng 2D elastct problems MOVNG LEAST-SQUARES (MLS) APPROXMATON n mesless metods, spatal dscretzaton can be obtaned b usng MLS approxmaton wc does not requre defnton of elements, but uses nodal selecton procedure nsad. Ts approxmaton s ntroduced b Lancasr and Salkauskas []. Tus, MLS approxmaton s ver table to form sape functon used n mesless metods. At doman, MLS approxmaton functon (tral functon), u (x), for dsplacement functon u(x) s expressed b vector of polnomal bass functon, p T (x), and vector of coeffcents, a(x), as follows m u (x) = p j (x) a j (x) = p T (x) a(x), (3) j= 1 were p j (x) s monomal at spatal coordna x T = x,, and m s number of monomal n bass functon. Te general form of bass functon wt degree s on two dmensonal can be expressed b p T (x) = 1,., x s, x s-1,.., x s-1, s. Te rm movng s used due to dependablt of coeffcent a to varable x, wereas wegt functon w (x) = w(x - x ) s defned for ever dfferent evaluaton pont x at doman. Consderng tat coeffcent a n Equaton 3 does not ave a pscal meanng, approxmaton of dsplacement feld values needs to be modfed b statng coeffcent a as d.o.f. at nodal u, so tat an equaton smlar to tat of nrpolaton functon used n fn element metod can be obtaned as 66

3 nrnatonal Cvl Engneerng Conference "Towards Sustanable Cvl Engneerng Practce" n u (x) = φ T (x). û = φ (x) û ; u (x ) u û () = 1 were φ (x) denos sape functon from MLS approxmaton, were φ (x) = 0 f wegt functon w (x) = 0, and n s number of nodes around evaluaton pont x, onl n areas were w (x) > 0 (also known as doman of defnton of pont x). Te pport of a wegt functon (also known as doman of nfluence of a node) refers to bdoman were value of wegt functon s not equal to zero. Te llustraton of MLS approxmaton s sape functon can be seen n Fgure 1. t s mportant to understand tat û s not real nodal values of unknown tral functon u (x), nsad t represents fcttous nodal values. Te dfference between u dan û on one dmensonal problems can be descrbed n Fgure 2. u (x) u û u Sape Doman of nfluence Fgure 1. llustraton of sape functon used n mesless metods[5] 3.2. ELEMENT-FREE GALERKN (EFG) x 1 x 2 Boundar node x Fgure 2. Te dfference between u dan û dsplacement[2] x EFG s frst ntroduced b Beltscko et al. [1]. Altoug defnton of elements s no longer needed n EFG metod, ts metod stll cannot be consdered as trul mesless because t requres use of a background cell n problem doman to execu numercal ngraton procedure (Fgure 3). Te weak form of governng equatons are satsfed globall n ts metod. Tus, numercal ngraton s done n wole doman. Ts procedure requres a lot of quadrature ponts to be defned and placed n eac of background cells. n EFG, dsplacement feld u acts as a tral functon, and vrtual dsplacement feld δv serves as a st functon. Multplng st functon to bot sdes of governng equaton, followed b ngratng on doman wll gve (σ j, j + F ) δv d = 0. (5) B applng dfferentaton b parts, Gauss dvergence orem, and notng tat t = σ j.n j (were t = 0 at Γ, except at boundar Γ t were t = t ), followng s obtaned Γ t t δv dγ + F δv d σ j δv, j d = 0 (6) 67

4 TANOJO and PUDJSURYAD Te sape functon of MLS approxmaton does not ave Kronecker delta propert, tus φ (x J ) δ J, were φ (x J ) s sape functon of nodal evaluad on nodal pont x J, and δ J s Kronecker delta (were δ J = 1 f = J, and δ J = 0 f J). Due to ts propert, tral functon does not satsf essental boundar condtons, u = u at Γ u. n EFG Lagrange multpler s ntroduced to overcome ts problem, gvng equaton σ j δv, j d F δv d Γ t t δv dγ (u u )δλ dγ λ δv dγ = 0, (7) Γ u Γ u were λ and δλ are Lagrange multpler and varaton of Lagrange multpler, respectvel. Mappng = ngraton Area (a) = Problem Doman = ngraton Area (Local bdoman) (b) Fgure 3. Numercal ngraton area (a) usng background cell over entre problem doman n EFG[6], and (b) over local bdoman n MLPG[6] 3.3. MESHLESS LOCAL PETROV-GALERKN (MLPG) Te weak form on MLPG are not satsfed globall on entre problem doman, but t s done n local bdoman (leadng to rm Local Smmetrc Weak Form) wc resdes entrel nsde global doman, tus MLPG can be consdered as trul mesless (Fgure 3). Moreover, essental boundar condtons (u = u pada Γ u ) also cannot be satsfed drectl n ts metod usng MLS approxmaton. MLPG solves ts problem b ntroducng use of a penalt functon. MLPG s frst ntroduced b Atlur et al. [2]. B multplng st functon to bot sdes of local weak form of governng equatons gven n Equaton 1 and boundar condtons gven n Equaton 2 and ntroducng penalt metod, followng s obtaned (σ j,j + b ) v d α Γ (u u ) v dγ = 0, (8) were Γ s nrsecton of Γ u wt boundar, u and v are tral functon and st functon respectvel, and α s penalt functon. Usng dfferentaton b parts and Gauss dvergence orem, and takng nto account non-essental boundar condtons, followng local smmetrc weak form s obtaned : 68

5 nrnatonal Cvl Engneerng Conference "Towards Sustanable Cvl Engneerng Practce" σ j v, j d + α Γ u v dγ Γ t v dγ = Γ st t v dγ + α Γ u v dγ + F v d, (9) were t = σ j.n j, and 3.. FNTE PONT (FP) st Γ s nrsecton of Γ t and boundar. Fn pont metod, proposed b Ona et al. [3], uses pont collocaton sceme to elmna ngral appearng n general wegd resdual form. = Collocaton Ponts Fgure. Collocaton ponts were governng dfferental equatons are satsfed n Fn Pont Metod [6] Wegd resdual metod s a common procedure to solve governng dfferental equaton numercall, were dsplacement functon u s approxmad b a tral functon u gvng W ( ) ( ) 0 A u + F d+ W B u t dγ+ W u u dγ=, (10) Γt Γu were W, W,danW deno wegt functons correspondng wt Equaton 1 and boundar condtons n Equaton 2 respectvel. Pont collocaton s n used to elmnas ngral appearng n Equaton 10 and wegt functon s set to W W W delta component as follows = = δ ( x x ) =, wt Drac δ 0, = 1, ( x x) x x x = x (11) Te dscre equatons n fn pont metod s obtaned b bsttutng approxmaton functon of dsplacement, u, to governng dfferental equaton stad n Equaton 1 and boundar condtons n Equaton 2, combned wt applcaton of pont collocaton procedure. Te dscre equatons are gven as u + F ] p = 0 at, p = 1, 2,... N r, (12a) [ A ( ) [ ( ) [ B ( ) u ] s = u at Γ u, s = 1, 2,... N u, (12b) u - t ] r = 0 at Γ t, r = 1, 2,... N t, (12c) 69

6 TANOJO and PUDJSURYAD were N r s number of nodal ponts on doman, except ones at boundar Γ u and Γ t, wle N u and N t are numbers of nodal ponts at boundar Γ u and Γ t respectvel. A and B smbolzes dfferental operator to defne governng dfferental equatons need to be satsfed u = σ j n j [7]. at dan Γ t respectvel, were A ( u ) = σ j, j and B ( ). TEST PROBLEM AND DSCUSSON Consder an nfn pla wt a central ole. Te ole s a crcle defned b x a 2, were a s radus of crcle. Te pla s bjecd to a unform nson, σ = 1, n x drecton, as sown n Fgure 5a. Te exact solutons for stresses, gven b Tmosenko et al. [8], are a ( x ) { } 2 3 3a σ, = 1 cos 2θ + cos θ + cos θ, (13a) x 2 r 2 2r 2 1 3a σ, = cos 2θ cos θ + cos θ, (13b) 2 r 2 2r a ( x ) { } 2 1 3a σ, = cos 2θ + sn θ + cos θ, (13c) x 2 r 2 2r a ( x ) { } were (r, θ) are polar coordnas and θ s meared from postve x axs counrclockwse. x σ σ x xx xx Fgure 5. (a) nfn pla wt a cenr ole, and (b) ts upper rgt part, wt tracton at our boundar [9] x Due to smmetr, onl a part of upper rgt quadrant of pla s modeled, as sown n Fgure 5b. Smmetr condtons are mposed on left (u x = 0, t = 0) and bottom (u = 0, t x = 0) edges, and nner boundar at a = 1 s tracton free. Te non-essental boundar condtons gven b exact soluton n Equaton 13 are mposed on rgt and top edges. Ts st problem as been evaluad prevousl b usng eac of tree aforementoned mesless metods. Beltscko et al. [1], Atlur et al. [9], Ona et al. [7] evaluad st problem usng EFG metod, MLPG metod, and FP metod, respectvel. Here, relts are presend and compared. Te varable to be compared s normal stress n orzontal drecton along lne x=0. Te relts from tree mesless metods wll n be compared b ones obtaned b usng fn element metod. Te fn element metod analss s done b SAP2000 [10] program. Te plotd stress relts are presend n Fgure 6. 70

7 nrnatonal Cvl Engneerng Conference "Towards Sustanable Cvl Engneerng Practce" σ x at x = 0 (a) (b) exact FEM (SAP2000) σ x at x = (c) Fgure 6. Te plotd stress relts from pla wt a cenr ole obtaned b usng (a) EFG metod [1] (b) MLPG metod [9] (c) FP metod [7], and (d) Fn Element Metod [5] As seen n Fgure 6, all metods used eld relatvel good relts compared to exact solutons gven n Equaton 13. Relts from EFG and MLPG metods also sow convergence propert. n relts obtaned b usng fn element metod, t can be seen tat plot s not as smoot as ones obtaned b usng mesless metod. Ts s due to fact tat sape functon obtaned from MLS approxmaton tself s alread smoot n geometr as sown n Fgure 1, and ts sape functon dervatves also ave smoot and contnuous caracr altoug bass functon used ma onl be a lnear one. Te approxmaton functon used n mesless metods also allows an ponts n doman to be approxmad b usng more number of nodes tan unknown varables due to ts least squares propert. Te fn element metod used n SAP2000 uses b-lnear bass functon n ts nrpolaton sceme. Due to ts lnear nrpolaton feature, smootness of plotd relts reles strongl on number of nodes used. Table 1 provdes a closer look at numercal values obtaned from plotd relts sown n Fgure 6. Table 1. σ x at x = 0 for pla wt a cenr ole [5] Metod used = 1 = 2 = 3 = = 5 Fn Element Metod (5 nodes) Element-free Galerkn (5 nodes) Mesless Local Petrov-Galerkn (5 nodes) Fn pont (60 nodes) Exact soluton (d) 71

8 TANOJO and PUDJSURYAD 5. CONCLUSONS Eac mesless metod as ts own specfc caracr and feature, but all of m empaszes on unnecesst to defne elements n dscretzaton of problem doman. EFG metod, beng frst well publsed mesless metod, s not trul mesless n a sense tat t stll requres a background cell to evalua weak form. MLPG does not requre a background cell and evaluas weak form over nrsectng local b-domans, refore t s trul mesless. FP metod as advantage over or metods snce absolul no ngraton sceme s needed n weak form evaluaton due to use of pont collocaton sceme, but t as been consdered tat b usng pont collocaton sceme, more nodes are requred to aceve same degree of correctness. Te st problem sows tat mesless metods ave advantage over fn element metod due to smootness of sape functon and sape functon dervatves used, asde from ts obvous advantage tat absolul no elements need to be defned n problem doman dscretzaton. Wt advantages and room for mprovement, mesless metods deserve more researc and atnton as an alrnatve to wdel-known fn element metod. 6. REFERENCES 1. Beltscko, T., Lu, Y.Y. and Gu, L., Element-Free Galerkn Metods. nrnatonal Journal for Numercal Metods n Engneerng; Vol. 37, 199, pp Atlur, S.N. and Zu, T., A New Mesless Local Petrov-Galerkn (MLPG) Approac n Computatonal Mecancs. Computatonal Mecancs; Vol. 22, 1998, pp Oña, E., delson, S., Zenkewcz, O.C., and Talor, R.L., A Fn Pont Metod n Computatonal Mecancs. Applcatons for Convectve Transport and Flud Flow. nrnatonal Journal for Numercal Metods n Engneerng; Vol. 39, 1996, pp Lancasr, P. and Salkauskas, K., Surfaces Generad b Movng Least-Squares Metods. Mamatcs of Computaton; Vol. 37, 1981, pp Sutanto, J.C., Wbowo, F.A., Pudjrad, P., and Tanojo, E., Pengenalan Metode Mesless Sebaga Alrnatf dar Metode Elemen Hngga untuk Menelesakan Problem Elaststas, PETRA Crstan Unverst Tess, Surabaa, Tanojo, E., An ratve Movng Least-Squares Formulaton For Problems n 2D Elastostatcs, Asan nsttu of Tecnolog Tess, Taland, Oña, E., Perazzo, F., and Mquel, J., A Fn Pont Metod for Elastct Problems. Compurs and Structures; vol. 79, 2001, pp Tmosenko and Gooder, Teor of Elastct. McGraw-Hll Book Compan, New York, Atlur, S.N. and Zu, T., Te Mesless Local Petrov-Galerkn (MLPG) Approac for Solvng Problems n Elasto-statcs. Computatonal Mecancs; Vol. 25, 2000, pp Compurs and Structures, nc.. CS Analss Reference Manual For SAP2000, ETABS, and SAFE., Compur and Structures, nc., Calforna,

The Finite Element Method: A Short Introduction

The Finite Element Method: A Short Introduction Te Fnte Element Metod: A Sort ntroducton Wat s FEM? Te Fnte Element Metod (FEM) ntroduced by engneers n late 50 s and 60 s s a numercal tecnque for solvng problems wc are descrbed by Ordnary Dfferental

More information

Conjunction of Displacement Fields of the Element Free Galerkin Method and Finite Element Method

Conjunction of Displacement Fields of the Element Free Galerkin Method and Finite Element Method amkang Journal of Scence and Engneerng, Vol. 10, No 1, pp. 4150 (2007) 41 Conjuncton of Dsplacement Felds of te Element Free Galerkn Metod and Fnte Element Metod Cen-Hsun Ln* and Can-Png Pan Department

More information

Solution for singularly perturbed problems via cubic spline in tension

Solution for singularly perturbed problems via cubic spline in tension ISSN 76-769 England UK Journal of Informaton and Computng Scence Vol. No. 06 pp.6-69 Soluton for sngularly perturbed problems va cubc splne n tenson K. Aruna A. S. V. Rav Kant Flud Dynamcs Dvson Scool

More information

Numerical Heat and Mass Transfer

Numerical Heat and Mass Transfer Master degree n Mechancal Engneerng Numercal Heat and Mass Transfer 06-Fnte-Dfference Method (One-dmensonal, steady state heat conducton) Fausto Arpno f.arpno@uncas.t Introducton Why we use models and

More information

5 The Laplace Equation in a convex polygon

5 The Laplace Equation in a convex polygon 5 Te Laplace Equaton n a convex polygon Te most mportant ellptc PDEs are te Laplace, te modfed Helmoltz and te Helmoltz equatons. Te Laplace equaton s u xx + u yy =. (5.) Te real and magnary parts of an

More information

Multivariate Ratio Estimator of the Population Total under Stratified Random Sampling

Multivariate Ratio Estimator of the Population Total under Stratified Random Sampling Open Journal of Statstcs, 0,, 300-304 ttp://dx.do.org/0.436/ojs.0.3036 Publsed Onlne July 0 (ttp://www.scrp.org/journal/ojs) Multvarate Rato Estmator of te Populaton Total under Stratfed Random Samplng

More information

PART 8. Partial Differential Equations PDEs

PART 8. Partial Differential Equations PDEs he Islamc Unverst of Gaza Facult of Engneerng Cvl Engneerng Department Numercal Analss ECIV 3306 PAR 8 Partal Dfferental Equatons PDEs Chapter 9; Fnte Dfference: Ellptc Equatons Assocate Prof. Mazen Abualtaef

More information

Numerical Simulation of One-Dimensional Wave Equation by Non-Polynomial Quintic Spline

Numerical Simulation of One-Dimensional Wave Equation by Non-Polynomial Quintic Spline IOSR Journal of Matematcs (IOSR-JM) e-issn: 78-578, p-issn: 319-765X. Volume 14, Issue 6 Ver. I (Nov - Dec 018), PP 6-30 www.osrournals.org Numercal Smulaton of One-Dmensonal Wave Equaton by Non-Polynomal

More information

The Finite Element Method

The Finite Element Method The Fnte Element Method GENERAL INTRODUCTION Read: Chapters 1 and 2 CONTENTS Engneerng and analyss Smulaton of a physcal process Examples mathematcal model development Approxmate solutons and methods of

More information

New Method for Solving Poisson Equation. on Irregular Domains

New Method for Solving Poisson Equation. on Irregular Domains Appled Mathematcal Scences Vol. 6 01 no. 8 369 380 New Method for Solvng Posson Equaton on Irregular Domans J. Izadan and N. Karamooz Department of Mathematcs Facult of Scences Mashhad BranchIslamc Azad

More information

CENTROID (AĞIRLIK MERKEZİ )

CENTROID (AĞIRLIK MERKEZİ ) CENTOD (ĞLK MEKEZİ ) centrod s a geometrcal concept arsng from parallel forces. Tus, onl parallel forces possess a centrod. Centrod s tougt of as te pont were te wole wegt of a pscal od or sstem of partcles

More information

CENTROID (AĞIRLIK MERKEZİ )

CENTROID (AĞIRLIK MERKEZİ ) CENTOD (ĞLK MEKEZİ ) centrod s a geometrcal concept arsng from parallel forces. Tus, onl parallel forces possess a centrod. Centrod s tougt of as te pont were te wole wegt of a pscal od or sstem of partcles

More information

ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM

ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM An elastc wave s a deformaton of the body that travels throughout the body n all drectons. We can examne the deformaton over a perod of tme by fxng our look

More information

Lecture Note 3. Eshelby s Inclusion II

Lecture Note 3. Eshelby s Inclusion II ME340B Elastcty of Mcroscopc Structures Stanford Unversty Wnter 004 Lecture Note 3. Eshelby s Incluson II Chrs Wenberger and We Ca c All rghts reserved January 6, 004 Contents 1 Incluson energy n an nfnte

More information

Lecture 12: Discrete Laplacian

Lecture 12: Discrete Laplacian Lecture 12: Dscrete Laplacan Scrbe: Tanye Lu Our goal s to come up wth a dscrete verson of Laplacan operator for trangulated surfaces, so that we can use t n practce to solve related problems We are mostly

More information

Multigrid Methods and Applications in CFD

Multigrid Methods and Applications in CFD Multgrd Metods and Applcatons n CFD Mcael Wurst 0 May 009 Contents Introducton Typcal desgn of CFD solvers 3 Basc metods and ter propertes for solvng lnear systems of equatons 4 Geometrc Multgrd 3 5 Algebrac

More information

Appendix B. The Finite Difference Scheme

Appendix B. The Finite Difference Scheme 140 APPENDIXES Appendx B. The Fnte Dfference Scheme In ths appendx we present numercal technques whch are used to approxmate solutons of system 3.1 3.3. A comprehensve treatment of theoretcal and mplementaton

More information

UNIVERSITY OF BOLTON RAK ACADEMIC CENTRE BENG(HONS) MECHANICAL ENGINEERING SEMESTER TWO EXAMINATION 2017/2018 FINITE ELEMENT AND DIFFERENCE SOLUTIONS

UNIVERSITY OF BOLTON RAK ACADEMIC CENTRE BENG(HONS) MECHANICAL ENGINEERING SEMESTER TWO EXAMINATION 2017/2018 FINITE ELEMENT AND DIFFERENCE SOLUTIONS OCD0 UNIVERSITY OF BOLTON RAK ACADEMIC CENTRE BENG(HONS) MECHANICAL ENGINEERING SEMESTER TWO EXAMINATION 07/08 FINITE ELEMENT AND DIFFERENCE SOLUTIONS MODULE NO. AME6006 Date: Wednesda 0 Ma 08 Tme: 0:00

More information

NON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS

NON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS IJRRAS 8 (3 September 011 www.arpapress.com/volumes/vol8issue3/ijrras_8_3_08.pdf NON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS H.O. Bakodah Dept. of Mathematc

More information

Physics 5153 Classical Mechanics. Principle of Virtual Work-1

Physics 5153 Classical Mechanics. Principle of Virtual Work-1 P. Guterrez 1 Introducton Physcs 5153 Classcal Mechancs Prncple of Vrtual Work The frst varatonal prncple we encounter n mechancs s the prncple of vrtual work. It establshes the equlbrum condton of a mechancal

More information

Lecture 5.8 Flux Vector Splitting

Lecture 5.8 Flux Vector Splitting Lecture 5.8 Flux Vector Splttng 1 Flux Vector Splttng The vector E n (5.7.) can be rewrtten as E = AU (5.8.1) (wth A as gven n (5.7.4) or (5.7.6) ) whenever, the equaton of state s of the separable form

More information

Module 3: Element Properties Lecture 1: Natural Coordinates

Module 3: Element Properties Lecture 1: Natural Coordinates Module 3: Element Propertes Lecture : Natural Coordnates Natural coordnate system s bascally a local coordnate system whch allows the specfcaton of a pont wthn the element by a set of dmensonless numbers

More information

Inductance Calculation for Conductors of Arbitrary Shape

Inductance Calculation for Conductors of Arbitrary Shape CRYO/02/028 Aprl 5, 2002 Inductance Calculaton for Conductors of Arbtrary Shape L. Bottura Dstrbuton: Internal Summary In ths note we descrbe a method for the numercal calculaton of nductances among conductors

More information

Instituto Tecnológico de Aeronáutica FINITE ELEMENTS I. Class notes AE-245

Instituto Tecnológico de Aeronáutica FINITE ELEMENTS I. Class notes AE-245 Insttuto Tecnológco de Aeronáutca FIITE ELEMETS I Class notes AE-5 Insttuto Tecnológco de Aeronáutca 5. Isoparametrc Elements AE-5 Insttuto Tecnológco de Aeronáutca ISOPARAMETRIC ELEMETS Introducton What

More information

Numerical Solution of Ordinary Differential Equations

Numerical Solution of Ordinary Differential Equations College of Engneerng and Computer Scence Mecancal Engneerng Department otes on Engneerng Analss Larr Caretto ovember 9, 7 Goal of tese notes umercal Soluton of Ordnar Dfferental Equatons ese notes were

More information

Numerical Solutions of a Generalized Nth Order Boundary Value Problems Using Power Series Approximation Method

Numerical Solutions of a Generalized Nth Order Boundary Value Problems Using Power Series Approximation Method Appled Mathematcs, 6, 7, 5-4 Publshed Onlne Jul 6 n ScRes. http://www.scrp.org/journal/am http://.do.org/.436/am.6.77 umercal Solutons of a Generalzed th Order Boundar Value Problems Usng Power Seres Approxmaton

More information

Grid Generation around a Cylinder by Complex Potential Functions

Grid Generation around a Cylinder by Complex Potential Functions Research Journal of Appled Scences, Engneerng and Technolog 4(): 53-535, 0 ISSN: 040-7467 Mawell Scentfc Organzaton, 0 Submtted: December 0, 0 Accepted: Januar, 0 Publshed: June 0, 0 Grd Generaton around

More information

TR/28. OCTOBER CUBIC SPLINE INTERPOLATION OF HARMONIC FUNCTIONS BY N. PAPAMICHAEL and J.R. WHITEMAN.

TR/28. OCTOBER CUBIC SPLINE INTERPOLATION OF HARMONIC FUNCTIONS BY N. PAPAMICHAEL and J.R. WHITEMAN. TR/8. OCTOBER 97. CUBIC SPLINE INTERPOLATION OF HARMONIC FUNCTIONS BY N. PAPAMICHAEL and J.R. WHITEMAN. W960748 ABSTRACT It s sown tat for te two dmensonal Laplace equaton a unvarate cubc splne approxmaton

More information

Finite Element Modelling of truss/cable structures

Finite Element Modelling of truss/cable structures Pet Schreurs Endhoven Unversty of echnology Department of Mechancal Engneerng Materals echnology November 3, 214 Fnte Element Modellng of truss/cable structures 1 Fnte Element Analyss of prestressed structures

More information

Solving Singularly Perturbed Differential Difference Equations via Fitted Method

Solving Singularly Perturbed Differential Difference Equations via Fitted Method Avalable at ttp://pvamu.edu/aam Appl. Appl. Mat. ISSN: 193-9466 Vol. 8, Issue 1 (June 013), pp. 318-33 Applcatons and Appled Matematcs: An Internatonal Journal (AAM) Solvng Sngularly Perturbed Dfferental

More information

Solutions to exam in SF1811 Optimization, Jan 14, 2015

Solutions to exam in SF1811 Optimization, Jan 14, 2015 Solutons to exam n SF8 Optmzaton, Jan 4, 25 3 3 O------O -4 \ / \ / The network: \/ where all lnks go from left to rght. /\ / \ / \ 6 O------O -5 2 4.(a) Let x = ( x 3, x 4, x 23, x 24 ) T, where the varable

More information

One-sided finite-difference approximations suitable for use with Richardson extrapolation

One-sided finite-difference approximations suitable for use with Richardson extrapolation Journal of Computatonal Physcs 219 (2006) 13 20 Short note One-sded fnte-dfference approxmatons sutable for use wth Rchardson extrapolaton Kumar Rahul, S.N. Bhattacharyya * Department of Mechancal Engneerng,

More information

ANALYSIS OF ELECTROMAGNETIC FIELD USING THE CONSTRAINED INTERPOLATION PROFILE METHOD PHÂN TÍCH TRƯỜNG ĐIỆN TỪ SỬ DỤNG PHƯƠNG PHÁP CIP

ANALYSIS OF ELECTROMAGNETIC FIELD USING THE CONSTRAINED INTERPOLATION PROFILE METHOD PHÂN TÍCH TRƯỜNG ĐIỆN TỪ SỬ DỤNG PHƯƠNG PHÁP CIP ANALYSIS OF ELECTROMAGNETIC FIELD USING THE CONSTRAINED INTERPOLATION PROFILE METHOD PHÂN TÍCH TRƯỜNG ĐIỆN TỪ SỬ DỤNG PHƯƠNG PHÁP CIP LÊ VŨ HƯNG Cao đẳng kỹ thuật quốc ga Kushro, Nhật Bản Kushro Natonal

More information

On Pfaff s solution of the Pfaff problem

On Pfaff s solution of the Pfaff problem Zur Pfaff scen Lösung des Pfaff scen Probles Mat. Ann. 7 (880) 53-530. On Pfaff s soluton of te Pfaff proble By A. MAYER n Lepzg Translated by D. H. Delpenc Te way tat Pfaff adopted for te ntegraton of

More information

FINITE DIFFERENCE SOLUTION OF MIXED BOUNDARY-VALUE ELASTIC PROBLEMS

FINITE DIFFERENCE SOLUTION OF MIXED BOUNDARY-VALUE ELASTIC PROBLEMS 4 t Internatonal Conference on Mecancal Engneerng, December 6-8, 1, Daa, Banglades/pp. V 171-175 FINITE DIFFERENCE SOLUTION OF MIXED BOUNDARY-VALUE ELASTIC PROBLEMS S. Reaz Amed, Noor Al Quddus and M.

More information

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE Analytcal soluton s usually not possble when exctaton vares arbtrarly wth tme or f the system s nonlnear. Such problems can be solved by numercal tmesteppng

More information

THE SMOOTH INDENTATION OF A CYLINDRICAL INDENTOR AND ANGLE-PLY LAMINATES

THE SMOOTH INDENTATION OF A CYLINDRICAL INDENTOR AND ANGLE-PLY LAMINATES THE SMOOTH INDENTATION OF A CYLINDRICAL INDENTOR AND ANGLE-PLY LAMINATES W. C. Lao Department of Cvl Engneerng, Feng Cha Unverst 00 Wen Hwa Rd, Tachung, Tawan SUMMARY: The ndentaton etween clndrcal ndentor

More information

PLATE BENDING ELEMENTS

PLATE BENDING ELEMENTS 8. PLATE BENING ELEMENTS Plate Bendng s a Smple Etenson of Beam Theor 8. INTROUCTION { XE "Plate Bendng Elements" }Before 960, plates and slabs were modeled usng a grd of beam elements for man cvl engneerng

More information

Chapter 12. Ordinary Differential Equation Boundary Value (BV) Problems

Chapter 12. Ordinary Differential Equation Boundary Value (BV) Problems Chapter. Ordnar Dfferental Equaton Boundar Value (BV) Problems In ths chapter we wll learn how to solve ODE boundar value problem. BV ODE s usuall gven wth x beng the ndependent space varable. p( x) q(

More information

1 Matrix representations of canonical matrices

1 Matrix representations of canonical matrices 1 Matrx representatons of canoncal matrces 2-d rotaton around the orgn: ( ) cos θ sn θ R 0 = sn θ cos θ 3-d rotaton around the x-axs: R x = 1 0 0 0 cos θ sn θ 0 sn θ cos θ 3-d rotaton around the y-axs:

More information

Linear Approximation with Regularization and Moving Least Squares

Linear Approximation with Regularization and Moving Least Squares Lnear Approxmaton wth Regularzaton and Movng Least Squares Igor Grešovn May 007 Revson 4.6 (Revson : March 004). 5 4 3 0.5 3 3.5 4 Contents: Lnear Fttng...4. Weghted Least Squares n Functon Approxmaton...

More information

A PROCEDURE FOR SIMULATING THE NONLINEAR CONDUCTION HEAT TRANSFER IN A BODY WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY.

A PROCEDURE FOR SIMULATING THE NONLINEAR CONDUCTION HEAT TRANSFER IN A BODY WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY. Proceedngs of the th Brazlan Congress of Thermal Scences and Engneerng -- ENCIT 006 Braz. Soc. of Mechancal Scences and Engneerng -- ABCM, Curtba, Brazl,- Dec. 5-8, 006 A PROCEDURE FOR SIMULATING THE NONLINEAR

More information

Professor Terje Haukaas University of British Columbia, Vancouver The Q4 Element

Professor Terje Haukaas University of British Columbia, Vancouver  The Q4 Element Professor Terje Haukaas Unversty of Brtsh Columba, ancouver www.nrsk.ubc.ca The Q Element Ths document consders fnte elements that carry load only n ther plane. These elements are sometmes referred to

More information

(Online First)A Lattice Boltzmann Scheme for Diffusion Equation in Spherical Coordinate

(Online First)A Lattice Boltzmann Scheme for Diffusion Equation in Spherical Coordinate Internatonal Journal of Mathematcs and Systems Scence (018) Volume 1 do:10.494/jmss.v1.815 (Onlne Frst)A Lattce Boltzmann Scheme for Dffuson Equaton n Sphercal Coordnate Debabrata Datta 1 *, T K Pal 1

More information

n α j x j = 0 j=1 has a nontrivial solution. Here A is the n k matrix whose jth column is the vector for all t j=0

n α j x j = 0 j=1 has a nontrivial solution. Here A is the n k matrix whose jth column is the vector for all t j=0 MODULE 2 Topcs: Lnear ndependence, bass and dmenson We have seen that f n a set of vectors one vector s a lnear combnaton of the remanng vectors n the set then the span of the set s unchanged f that vector

More information

Bezier curves. Michael S. Floater. August 25, These notes provide an introduction to Bezier curves. i=0

Bezier curves. Michael S. Floater. August 25, These notes provide an introduction to Bezier curves. i=0 Bezer curves Mchael S. Floater August 25, 211 These notes provde an ntroducton to Bezer curves. 1 Bernsten polynomals Recall that a real polynomal of a real varable x R, wth degree n, s a functon of the

More information

MMA and GCMMA two methods for nonlinear optimization

MMA and GCMMA two methods for nonlinear optimization MMA and GCMMA two methods for nonlnear optmzaton Krster Svanberg Optmzaton and Systems Theory, KTH, Stockholm, Sweden. krlle@math.kth.se Ths note descrbes the algorthms used n the author s 2007 mplementatons

More information

Finite Element Solution for Heat Transfer Flow of. a Third Order Fluid between Parallel Plates

Finite Element Solution for Heat Transfer Flow of. a Third Order Fluid between Parallel Plates Adv. Studes Theor. Phs., Vol. 5,, no. 3, 7 - Fnte Element Soluton for Heat Transfer Flow of a Thrd Order Flud between Parallel Plates R. Mahmood a, M. Sajd a, and A. Nadeem b a Theoretcal Plasma Phscs

More information

Numerical Solution of Ordinary Differential Equations

Numerical Solution of Ordinary Differential Equations Numercal Methods (CENG 00) CHAPTER-VI Numercal Soluton of Ordnar Dfferental Equatons 6 Introducton Dfferental equatons are equatons composed of an unknown functon and ts dervatves The followng are examples

More information

CHAPTER 4. Vector Spaces

CHAPTER 4. Vector Spaces man 2007/2/16 page 234 CHAPTER 4 Vector Spaces To crtcze mathematcs for ts abstracton s to mss the pont entrel. Abstracton s what makes mathematcs work. Ian Stewart The man am of ths tet s to stud lnear

More information

COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD

COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD Ákos Jósef Lengyel, István Ecsed Assstant Lecturer, Professor of Mechancs, Insttute of Appled Mechancs, Unversty of Mskolc, Mskolc-Egyetemváros,

More information

A Spline based computational simulations for solving selfadjoint singularly perturbed two-point boundary value problems

A Spline based computational simulations for solving selfadjoint singularly perturbed two-point boundary value problems ISSN 746-769 England UK Journal of Informaton and Computng Scence Vol. 7 No. 4 pp. 33-34 A Splne based computatonal smulatons for solvng selfadjont sngularly perturbed two-pont boundary value problems

More information

Solutions to Homework 7, Mathematics 1. 1 x. (arccos x) (arccos x) 1

Solutions to Homework 7, Mathematics 1. 1 x. (arccos x) (arccos x) 1 Solutons to Homework 7, Mathematcs 1 Problem 1: a Prove that arccos 1 1 for 1, 1. b* Startng from the defnton of the dervatve, prove that arccos + 1, arccos 1. Hnt: For arccos arccos π + 1, the defnton

More information

Report on Image warping

Report on Image warping Report on Image warpng Xuan Ne, Dec. 20, 2004 Ths document summarzed the algorthms of our mage warpng soluton for further study, and there s a detaled descrpton about the mplementaton of these algorthms.

More information

The Karush-Kuhn-Tucker. Nuno Vasconcelos ECE Department, UCSD

The Karush-Kuhn-Tucker. Nuno Vasconcelos ECE Department, UCSD e Karus-Kun-ucker condtons and dualt Nuno Vasconcelos ECE Department, UCSD Optmzaton goal: nd mamum or mnmum o a uncton Denton: gven unctons, g, 1,...,k and, 1,...m dened on some doman Ω R n mn w, w Ω

More information

One Dimensional Axial Deformations

One Dimensional Axial Deformations One Dmensonal al Deformatons In ths secton, a specfc smple geometr s consdered, that of a long and thn straght component loaded n such a wa that t deforms n the aal drecton onl. The -as s taken as the

More information

Bézier curves. Michael S. Floater. September 10, These notes provide an introduction to Bézier curves. i=0

Bézier curves. Michael S. Floater. September 10, These notes provide an introduction to Bézier curves. i=0 Bézer curves Mchael S. Floater September 1, 215 These notes provde an ntroducton to Bézer curves. 1 Bernsten polynomals Recall that a real polynomal of a real varable x R, wth degree n, s a functon of

More information

Modelli Clamfim Equazione del Calore Lezione ottobre 2014

Modelli Clamfim Equazione del Calore Lezione ottobre 2014 CLAMFIM Bologna Modell 1 @ Clamfm Equazone del Calore Lezone 17 15 ottobre 2014 professor Danele Rtell danele.rtell@unbo.t 1/24? Convoluton The convoluton of two functons g(t) and f(t) s the functon (g

More information

Shuai Dong. Isaac Newton. Gottfried Leibniz

Shuai Dong. Isaac Newton. Gottfried Leibniz Computatonal pyscs Sua Dong Isaac Newton Gottred Lebnz Numercal calculus poston dervatve ntegral v velocty dervatve ntegral a acceleraton Numercal calculus Numercal derentaton Numercal ntegraton Roots

More information

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1 P. Guterrez Physcs 5153 Classcal Mechancs D Alembert s Prncple and The Lagrangan 1 Introducton The prncple of vrtual work provdes a method of solvng problems of statc equlbrum wthout havng to consder the

More information

2 Finite difference basics

2 Finite difference basics Numersche Methoden 1, WS 11/12 B.J.P. Kaus 2 Fnte dfference bascs Consder the one- The bascs of the fnte dfference method are best understood wth an example. dmensonal transent heat conducton equaton T

More information

Global Sensitivity. Tuesday 20 th February, 2018

Global Sensitivity. Tuesday 20 th February, 2018 Global Senstvty Tuesday 2 th February, 28 ) Local Senstvty Most senstvty analyses [] are based on local estmates of senstvty, typcally by expandng the response n a Taylor seres about some specfc values

More information

OPTIMISATION. Introduction Single Variable Unconstrained Optimisation Multivariable Unconstrained Optimisation Linear Programming

OPTIMISATION. Introduction Single Variable Unconstrained Optimisation Multivariable Unconstrained Optimisation Linear Programming OPTIMIATION Introducton ngle Varable Unconstraned Optmsaton Multvarable Unconstraned Optmsaton Lnear Programmng Chapter Optmsaton /. Introducton In an engneerng analss, sometmes etremtes, ether mnmum or

More information

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems Numercal Analyss by Dr. Anta Pal Assstant Professor Department of Mathematcs Natonal Insttute of Technology Durgapur Durgapur-713209 emal: anta.bue@gmal.com 1 . Chapter 5 Soluton of System of Lnear Equatons

More information

Lecture 21: Numerical methods for pricing American type derivatives

Lecture 21: Numerical methods for pricing American type derivatives Lecture 21: Numercal methods for prcng Amercan type dervatves Xaoguang Wang STAT 598W Aprl 10th, 2014 (STAT 598W) Lecture 21 1 / 26 Outlne 1 Fnte Dfference Method Explct Method Penalty Method (STAT 598W)

More information

ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION

ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION Advanced Mathematcal Models & Applcatons Vol.3, No.3, 2018, pp.215-222 ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EUATION

More information

CSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography

CSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography CSc 6974 and ECSE 6966 Math. Tech. for Vson, Graphcs and Robotcs Lecture 21, Aprl 17, 2006 Estmatng A Plane Homography Overvew We contnue wth a dscusson of the major ssues, usng estmaton of plane projectve

More information

MEMBRANE ELEMENT WITH NORMAL ROTATIONS

MEMBRANE ELEMENT WITH NORMAL ROTATIONS 9. MEMBRANE ELEMENT WITH NORMAL ROTATIONS Rotatons Mst Be Compatble Between Beam, Membrane and Shell Elements 9. INTRODUCTION { XE "Membrane Element" }The comple natre of most bldngs and other cvl engneerng

More information

2.29 Numerical Fluid Mechanics

2.29 Numerical Fluid Mechanics REVIEW Lecture 10: Sprng 2015 Lecture 11 Classfcaton of Partal Dfferental Equatons PDEs) and eamples wth fnte dfference dscretzatons Parabolc PDEs Ellptc PDEs Hyperbolc PDEs Error Types and Dscretzaton

More information

coordinates. Then, the position vectors are described by

coordinates. Then, the position vectors are described by Revewng, what we have dscussed so far: Generalzed coordnates Any number of varables (say, n) suffcent to specfy the confguraton of the system at each nstant to tme (need not be the mnmum number). In general,

More information

NUMERICAL DIFFERENTIATION

NUMERICAL DIFFERENTIATION NUMERICAL DIFFERENTIATION 1 Introducton Dfferentaton s a method to compute the rate at whch a dependent output y changes wth respect to the change n the ndependent nput x. Ths rate of change s called the

More information

Plate Theories for Classical and Laminated plates Weak Formulation and Element Calculations

Plate Theories for Classical and Laminated plates Weak Formulation and Element Calculations Plate heores for Classcal and Lamnated plates Weak Formulaton and Element Calculatons PM Mohte Department of Aerospace Engneerng Indan Insttute of echnolog Kanpur EQIP School on Computatonal Methods n

More information

The Quadratic Trigonometric Bézier Curve with Single Shape Parameter

The Quadratic Trigonometric Bézier Curve with Single Shape Parameter J. Basc. Appl. Sc. Res., (3541-546, 01 01, TextRoad Publcaton ISSN 090-4304 Journal of Basc and Appled Scentfc Research www.textroad.com The Quadratc Trgonometrc Bézer Curve wth Sngle Shape Parameter Uzma

More information

Relaxation Methods for Iterative Solution to Linear Systems of Equations

Relaxation Methods for Iterative Solution to Linear Systems of Equations Relaxaton Methods for Iteratve Soluton to Lnear Systems of Equatons Gerald Recktenwald Portland State Unversty Mechancal Engneerng Department gerry@pdx.edu Overvew Techncal topcs Basc Concepts Statonary

More information

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity Week3, Chapter 4 Moton n Two Dmensons Lecture Quz A partcle confned to moton along the x axs moves wth constant acceleraton from x =.0 m to x = 8.0 m durng a 1-s tme nterval. The velocty of the partcle

More information

Optimal Control of Temperature in Fluid Flow

Optimal Control of Temperature in Fluid Flow Kawahara Lab. 5 March. 27 Optmal Control of Temperature n Flud Flow Dasuke YAMAZAKI Department of Cvl Engneerng, Chuo Unversty Kasuga -3-27, Bunkyou-ku, Tokyo 2-855, Japan E-mal : d33422@educ.kc.chuo-u.ac.jp

More information

Procedia Computer Science

Procedia Computer Science Avalable onlne at www.scencedrect.com Proceda Proceda Computer Computer Scence Scence 1 (01) 00 (009) 589 597 000 000 Proceda Computer Scence www.elsever.com/locate/proceda Internatonal Conference on Computatonal

More information

Normally, in one phase reservoir simulation we would deal with one of the following fluid systems:

Normally, in one phase reservoir simulation we would deal with one of the following fluid systems: TPG4160 Reservor Smulaton 2017 page 1 of 9 ONE-DIMENSIONAL, ONE-PHASE RESERVOIR SIMULATION Flud systems The term sngle phase apples to any system wth only one phase present n the reservor In some cases

More information

CHAPTER-5 INFORMATION MEASURE OF FUZZY MATRIX AND FUZZY BINARY RELATION

CHAPTER-5 INFORMATION MEASURE OF FUZZY MATRIX AND FUZZY BINARY RELATION CAPTER- INFORMATION MEASURE OF FUZZY MATRI AN FUZZY BINARY RELATION Introducton The basc concept of the fuzz matr theor s ver smple and can be appled to socal and natural stuatons A branch of fuzz matr

More information

Solution of Linear System of Equations and Matrix Inversion Gauss Seidel Iteration Method

Solution of Linear System of Equations and Matrix Inversion Gauss Seidel Iteration Method Soluton of Lnear System of Equatons and Matr Inverson Gauss Sedel Iteraton Method It s another well-known teratve method for solvng a system of lnear equatons of the form a + a22 + + ann = b a2 + a222

More information

A Hybrid Variational Iteration Method for Blasius Equation

A Hybrid Variational Iteration Method for Blasius Equation Avalable at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 1932-9466 Vol. 10, Issue 1 (June 2015), pp. 223-229 Applcatons and Appled Mathematcs: An Internatonal Journal (AAM) A Hybrd Varatonal Iteraton Method

More information

Indeterminate pin-jointed frames (trusses)

Indeterminate pin-jointed frames (trusses) Indetermnate pn-jonted frames (trusses) Calculaton of member forces usng force method I. Statcal determnacy. The degree of freedom of any truss can be derved as: w= k d a =, where k s the number of all

More information

Lecture 13 APPROXIMATION OF SECOMD ORDER DERIVATIVES

Lecture 13 APPROXIMATION OF SECOMD ORDER DERIVATIVES COMPUTATIONAL FLUID DYNAMICS: FDM: Appromaton of Second Order Dervatves Lecture APPROXIMATION OF SECOMD ORDER DERIVATIVES. APPROXIMATION OF SECOND ORDER DERIVATIVES Second order dervatves appear n dffusve

More information

Chapter 4 The Wave Equation

Chapter 4 The Wave Equation Chapter 4 The Wave Equaton Another classcal example of a hyperbolc PDE s a wave equaton. The wave equaton s a second-order lnear hyperbolc PDE that descrbes the propagaton of a varety of waves, such as

More information

(5.1.1) v Here, u and v are the displacements parallel to x and y directions respectively.

(5.1.1) v Here, u and v are the displacements parallel to x and y directions respectively. Lecture : Constant Stran rangle he trangular elements wth dfferent numbers of nodes are used for solvng two dmensonal sold members. he lnear trangular element was the frst tpe of element developed for

More information

Numerical Methods. ME Mechanical Lab I. Mechanical Engineering ME Lab I

Numerical Methods. ME Mechanical Lab I. Mechanical Engineering ME Lab I 5 9 Mechancal Engneerng -.30 ME Lab I ME.30 Mechancal Lab I Numercal Methods Volt Sne Seres.5 0.5 SIN(X) 0 3 7 5 9 33 37 4 45 49 53 57 6 65 69 73 77 8 85 89 93 97 0-0.5 Normalzed Squared Functon - 0.07

More information

A Cartesian-grid integrated-rbf method for viscoelastic flows

A Cartesian-grid integrated-rbf method for viscoelastic flows Home Search Collectons Journals About Contact us My IOPscence A Cartesan-grd ntegrated-rbf method for vscoelastc flows Ths artcle has been downloaded from IOPscence. Please scroll down to see the full

More information

ACTM State Calculus Competition Saturday April 30, 2011

ACTM State Calculus Competition Saturday April 30, 2011 ACTM State Calculus Competton Saturday Aprl 30, 2011 ACTM State Calculus Competton Sprng 2011 Page 1 Instructons: For questons 1 through 25, mark the best answer choce on the answer sheet provde Afterward

More information

ORDINARY DIFFERENTIAL EQUATIONS EULER S METHOD

ORDINARY DIFFERENTIAL EQUATIONS EULER S METHOD Numercal Analss or Engneers German Jordanan Unverst ORDINARY DIFFERENTIAL EQUATIONS We wll eplore several metods o solvng rst order ordnar derental equatons (ODEs and we wll sow ow tese metods can be appled

More information

CME 302: NUMERICAL LINEAR ALGEBRA FALL 2005/06 LECTURE 13

CME 302: NUMERICAL LINEAR ALGEBRA FALL 2005/06 LECTURE 13 CME 30: NUMERICAL LINEAR ALGEBRA FALL 005/06 LECTURE 13 GENE H GOLUB 1 Iteratve Methods Very large problems (naturally sparse, from applcatons): teratve methods Structured matrces (even sometmes dense,

More information

PHYS 705: Classical Mechanics. Calculus of Variations II

PHYS 705: Classical Mechanics. Calculus of Variations II 1 PHYS 705: Classcal Mechancs Calculus of Varatons II 2 Calculus of Varatons: Generalzaton (no constrant yet) Suppose now that F depends on several dependent varables : We need to fnd such that has a statonary

More information

Error Analysis of Heat Conduction Partial Differential Equations using Galerkin s Finite Element Method

Error Analysis of Heat Conduction Partial Differential Equations using Galerkin s Finite Element Method Indan Journal of Scence and Technolog, Vol 9(36), DOI: 0.7485/jst/06/v936/058, September 06 ISS (Prnt) : 0974-6846 ISS (Onlne) : 0974-5645 Error Analss of Heat Conducton Partal Dfferental Equatons usng

More information

SIMPLE LINEAR REGRESSION

SIMPLE LINEAR REGRESSION Smple Lnear Regresson and Correlaton Introducton Prevousl, our attenton has been focused on one varable whch we desgnated b x. Frequentl, t s desrable to learn somethng about the relatonshp between two

More information

Chapter Newton s Method

Chapter Newton s Method Chapter 9. Newton s Method After readng ths chapter, you should be able to:. Understand how Newton s method s dfferent from the Golden Secton Search method. Understand how Newton s method works 3. Solve

More information

Kernel Methods and SVMs Extension

Kernel Methods and SVMs Extension Kernel Methods and SVMs Extenson The purpose of ths document s to revew materal covered n Machne Learnng 1 Supervsed Learnng regardng support vector machnes (SVMs). Ths document also provdes a general

More information

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix Lectures - Week 4 Matrx norms, Condtonng, Vector Spaces, Lnear Independence, Spannng sets and Bass, Null space and Range of a Matrx Matrx Norms Now we turn to assocatng a number to each matrx. We could

More information

Section 8.3 Polar Form of Complex Numbers

Section 8.3 Polar Form of Complex Numbers 80 Chapter 8 Secton 8 Polar Form of Complex Numbers From prevous classes, you may have encountered magnary numbers the square roots of negatve numbers and, more generally, complex numbers whch are the

More information

Structure and Drive Paul A. Jensen Copyright July 20, 2003

Structure and Drive Paul A. Jensen Copyright July 20, 2003 Structure and Drve Paul A. Jensen Copyrght July 20, 2003 A system s made up of several operatons wth flow passng between them. The structure of the system descrbes the flow paths from nputs to outputs.

More information

e i is a random error

e i is a random error Chapter - The Smple Lnear Regresson Model The lnear regresson equaton s: where + β + β e for,..., and are observable varables e s a random error How can an estmaton rule be constructed for the unknown

More information

Cubic Trigonometric B-Spline Applied to Linear Two-Point Boundary Value Problems of Order Two

Cubic Trigonometric B-Spline Applied to Linear Two-Point Boundary Value Problems of Order Two World Academy of Scence Engneerng and echnology Internatonal Journal of Mathematcal and omputatonal Scences Vol: No:0 00 ubc rgonometrc B-Splne Appled to Lnear wo-pont Boundary Value Problems of Order

More information