Arbitrary Lagrangian Eulerian Electromechanics in 3D

Size: px
Start display at page:

Download "Arbitrary Lagrangian Eulerian Electromechanics in 3D"

Transcription

1 Progress In Electromagnetcs Research Symposum 2006, Cambrdge, USA, March Arbtrary Lagrangan Euleran Electromechancs n 3D R. Reben, B. Walln, and D. Whte Lawrence Lvermore Natonal Laboratory, USA Abstract We present results from an effort to couple the equatons of electromagnetc dffuson wth the equatons of arbtrary Lagrangan-Euleran (ALE) hydrodynamcs. The electromagnetc dffuson equatons are dscretzed usng a novel mxed fnte element method coupled wth a generalzed Crank-Ncholson tme dfferencng scheme. At each dscrete tme step, electromagnetc force and heat terms are calculated and coupled to the hydrodynamc equatons n an operator splt approach. We present prelmnary results from a fully coupled electromechancal smulaton as well as results concernng advecton technques for electromagnetc quanttes. 1. Introducton We are nterested n the smulaton of electromechancal devces and magnetohydrodynamc events n three dmensons. Our prmary goal s a numercal method that solves, n a self-consstent manner, the equatons of electromagnetcs (prmarly statcs and dffuson), heat transfer (prmarly conducton), and non-lnear mechancs (elastc-plastc deformaton, and contact wth frcton). In ths paper, we focus on the numercal dscretzaton of electromagnetc dffuson n an arbtrary Lagrangan-Euleran (ALE) fashon for the purposes of computng J B forces for mechancal (or hydrodynamc) calculatons and J E Joule heatng terms for thermal calculatons. The equatons of electromagnetc dffuson can be derved from the full wave Maxwell equatons by makng the good conductor approxmaton (.e., gnorng dsplacement current), whch s standard practce n magnetohydrodynamc (MHD) formulatons. For conductng materals movng wth a velocty v wth respect to a fxed Euleran (or laboratory) frame, we can derve the so called dynamo equaton (also known as the hydromagnetc equaton) n terms of magnetc flux densty B t = ( 1 σ 1 µ B) + ( v B) (1) In the Euleran descrpton the velocty v s a functon of tme t and poston x. In the Lagrangan (or materal) descrpton (whch we wll desgnate wth a prme symbol), the flow s descrbed by followng the poston x( x,t) of the materal pont that started at poston x at t = 0. In functonal form, we have x = x ( x,t); x = x( x,t) To convert between the two representatons, we defne the Jacoban matrx as J,j = x j x (2) As shown n [1], the followng quanttes are nvarant wth respect to the Lagrangan-Euleran representatons Lagrangan Euleran E d x = ( E + v B) d x B d a = B d a (3) It s well known that dfferental arc length and surface area elements transform accordng to d x = J T d x (4) d a = J J 1 d a (5) As a consequence, the electrc feld ntenstes and magnetc flux denstes must transform nversely to mantan the nvarance property of (3)

2 266 Progress In Electromagnetcs Research Symposum 2006, Cambrdge, USA, March The dynamo equaton n the Lagrangan frame s therefore E = J 1 ( E + v B) (6) B = 1 J JT B (7) d B = ( 1 σ 1 µ B ) (8) In a typcal ALE hydrodynamc calculaton, an operator splt method s employed where all calculatons are performed on a Lagrangan mesh (.e., a mesh that moves wth the materals). When the Lagrange moton of the mesh causes sgnfcant mesh dstorton, that dstorton s corrected wth an equpotental relaxaton of the mesh, followed by a 2nd order monotonc remap of mesh quanttes. Ths remap s equvalent to an advecton of materal through the mesh. In our proposed ALE formulaton of MHD, we wll employ an operator-splt method wth three dstnct steps: Electromagnetc Dffuson Solve the dynamo equaton n the Lagrangan frame at one dscrete tme step for fxed materals. Lagrangan Moton Move mesh nodes accordng to J B forces assumng a d B condton. = 0 frozen flux Euleran Advecton Only requred f mesh s relaxed, advect (or transport) magnetc (vector potental) flux quanttes to new mesh. Note that the second step (effectvely draggng the electromagnetc quanttes along wth the mesh durng Lagrangan moton) wll only work f our dscretzaton of the electromagnetc quanttes satsfes the nvarance relaton of (3) (see also [2]). In the Euleran advecton step of the calculaton, the computed electromagnetc degrees of freedom must be remapped or advected n a way whch preserves a dscrete dvergence-free property of the magnetc flux densty wth mnmal magnetc energy loss. 2. Numercal Formulaton The dvergence-free (or solenodal) nature of the magnetc flux densty, B = 0, mples that B = A where A s a magnetc vector potental. Ths n turn mples that the electrc feld n the Lagrangan frame s gven by E = φ t A, where φ s an electrc scalar potental. Usng the gauge condton σ A = 0, we can reformulate the dynamo equaton (8) n terms of potentals as σ φ = 0 (9) σ d A = 1 µ A σ φ (10) Note that ths formulaton has an addtonal ellptc PDE (9) to solve for the scalar potental. A key advantage of ths formulaton s that voltage, whch s often the only known quantty for electromechancal engneerng applcatons, appears explctly n the equatons as an essental boundary condton for the ellptc soluton of (9). To compute force and heat terms, we defne the secondary varables n terms of the potentals as B = A (11) J = σ E = φ d A (12) Fnally, there are dvergence constrants on both the prmary and secondary felds, namely σ A = 0 (13) B = 0 (14)

3 Progress In Electromagnetcs Research Symposum 2006, Cambrdge, USA, March To dscretze the potental formulaton n the Lagrangan frame, we apply the mxed fnte element methods (FEM) of [3] whch are based on the propertes of dfferental forms and have been shown to preserve dscrete dvergence-free propertes and to mantan accuracy n secondary varables (e.g., J and B) even when computed from potentals. Most mportantly, the dscrete vector felds transform dentcally to (6) and (7), thereby preservng the nvarance property of (3). In our proposed ALE formulaton the scalar potental wll be dscretzed on mesh nodes (.e., a dscrete 0- form feld), the vector potental wll be dscretzed on mesh edges (.e., a dscrete 1-form feld) and the secondary varables B and J wll be dscretzed on mesh faces (.e., dscrete 2-form felds) as follows φ A B J v W 0 (15) a W 1 (16) b W 2 (17) j W 2 (18) where W l denotes a dscrete l-form bass functon. In [3], varous mass, stffness, dervatve and dscrete Hodge matrces are defned. Gven these matrces, the fully dscrete form of the potental dffuson equaton s gven n [3] by applyng a Generalzed Crank-Ncholson method to obtan S 0 v n+α = f 0 n+α (19) (M 1 (σ) + α ts 1 (µ 1 ))a n+1 = (M 1 (σ) (1 α) t S 1 (µ 1 ))a n td 01 v n+α (20) where α [0.1] s weghtng parameter whch determnes the type of ntegraton such that 0 Explct, 1st Order Accurate Forward Euler α = 1/2 Implct, 2nd Order Accurate Crank Ncholson 1 Implct, 1st Order Accurate Backward Euler Once the values for the prmary potentals have been solved for, the dscrete secondary felds can be computed as e n+α = K 01 v n+α 1/ t(a n+1 a n ) (21) b n+1 = K 12 a n+1 (22) M 2 (σ 1 )j n+α = H 12 e n+α (23) These terms are used to compute J B forces whch wll accelerate the mesh nodes durng the Lagrangan moton step. The dscrete dvergence constrants are gven by (D 01 (σ)) T a = 0 (24) (D 01 (σ)) T e = 0 (25) K 23 b = 0 (26) and as shown n [3], these constrants are mplctly satsfed for all tme, assumng the ntal condtons and the source terms are dvergence free. To demonstrate a fully coupled Lagrangan calculaton, we consder a numercal experment n whch a 5 KV capactor bank s dscharged nto a can shaped alumnum structure (see Fg. 1). The voltage through the can (effectvely an nductve and resstve load) s computed va a smple SPICE model. The resultng voltage vs. tme profle s then used as an essental boundary condton for the dscrete scalar potental solve of (19) whch

4 268 Progress In Electromagnetcs Research Symposum 2006, Cambrdge, USA, March drves the problem. An essental boundary condton of the form ˆn A = 0 s appled to the front sde of the mesh whle the remander of the surface s subject to the natural boundary condton ˆn 1 µ A = 0. A peak current of roughly 0.8 MA s generated n the can, creatng a J B force whch causes the can to ntally compresses (or mplode). However, the force s not strong enough to cause the alumnum can to yeld, and so the can effectvely rngs over tme n an elastc response as shown n Fgs. 1 and 2. Fgure 1: Snapshot of the fully coupled electromechancal smulaton. In ths mage the alumnum can s elastcally expandng after ntally beng compressed. The dsplacement has been exaggerated by a factor of 300 for vsual clarty. Fgure 2: Measured pressure response n the alumnum can due to an electromagnetc force. 3. Constraned Transport Methods on Unstructured Grds Durng the optonal Euleran advecton phase of our operator splt method, the computed electromagnetc values must be remapped (or advected). Remappng refers to the process of updatng the representaton of the feld gven a new grd. We consder only new grds whch are nearby n the sense that only small perturbatons of the grd are allowed (.e., the mesh nodes should not travel farther than one mesh element n any one tme step). Ths s known as the contnuous remap approxmaton (CRA). We propose to use the so called constraned transport method orgnally developed by [4] and later expanded by [5]. Suppose we have calculated the magnetc flux densty B n a Lagrangan tme step va (22), we then have a local element representaton of B The degrees of freedom (DOF) b old B old b old W 2,old (27) n ths expanson carry the unts of magnetc flux. For the specal case of lowest order (p = 1) bass functons (.e., sx DOF per element), ths mples that we know the magnetc flux through every face n the Lagrangan mesh (or the old mesh). Now n a standard ALE step, the old mesh s relaxed under the CRA to a new mesh. Therefore, our goal s to compute new values of the magnetc flux b new whch wll allow us to represent the magnetc flux densty on the new mesh. For the specal case of lowest order (p = 1) bass functons, the dscrete dvergence free property s smply a statement that the 6 fluxes n the face sum to zero. The goal of constraned transport s to preserve ths property on the new mesh. For unstructured hexahedral grds, we can update the magnetc flux (or vector potental flux A d x) by effectvely solvng Faraday s law for a movng conductor (equvalent to magnetc transport under the frozenflux condton) Φ new Φ old C ( u B) d l (28) where u s the mesh dsplacement. Our goal now s to apply (28) n an algorthmc fashon to update the fluxes on the faces of a new mesh. A schematc representaton of ths process s shown n Fg. 3. It s clear from

5 Progress In Electromagnetcs Research Symposum 2006, Cambrdge, USA, March the depcton of Fg. 3 that we can approxmate the flux through a new face gven the flux through the old face and a measurement of the tme rate of change of flux (an effectve voltage) along the closed crcut path C depcted n green. For a gven face n the new mesh, the algorthm of (28) can be used to update the edge flux contrbutons Fgure 3: Schematc dagram depctng the relatonshp between magnetc flux through old and new mesh faces and the most accurate locaton for measurng the update EMF. A dx for each edge n the face (thereby updatng the vector potental) or the total magnetc flux B d a through the face. By constructon, the new flux values wll sum to zero, provded the old fluxes do so as well. In order for ths algorthm to work, B must be evaluated at the dsplacement vector mdponts for the dscrete path ntegral; however, ths s problematc for faced based representatons of B, snce they are by constructon, dscontnuous along element edges. To overcome ths, a smooth B feld must be patch recovered usng a contnuous vector nodal approxmaton. 4. Conclusons We have presented and dscussed an operator splt approach for solvng the coupled equatons of electromechancs and magnetohydrodynamcs usng the novel mxed fnte element methods of [3] to dscretze the equatons of electromagnetc dffuson. We have presented prelmnary results for a fully coupled Lagrangan calculaton and have dscussed methods for advectng magnetc flux for ALE calculatons. Acknowledge Ths work was performed under the auspces of the U.S. Department of Energy by the Unversty of Calforna, Lawrence Lvermore Natonal Laboratory under contract No. W-7405-Eng-48, UCRL-ABS REFERENCES 1. Lax, M. and D. F. Nelson., Maxwell equatons n materal form, Phys. Rev. B, Vol. 13, No. 14, , Hu, P. J., A. Robnson, and R. Tumnaro., Towards robust z-pnch smulatons: dscretzaton and fast solvers for magnetc dffuson n heterogenous conductors, Electronc Trans. Num. Analyss, Vol. 15, , Reben, R. and D. Whte., Verfcaton of hgh-order mxed fem soluton of transent magnetc dffuson problems., IEEE Trans. Mag., artcle n press, October Evans, C. R. and J. F. Hawley, Smulaton of magnetohydrodynamc flows: a constraned transport method, The Astrophyscal Journal, Vol. 332, , Bochev, P. and M. Shaskov., Constraned nterpolaton (remap) of dvergence-free felds, Comput. Methods Appl. Mech. Engrg., Vol. 194, , 2005.

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

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

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

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

Kinematics of Fluids. Lecture 16. (Refer the text book CONTINUUM MECHANICS by GEORGE E. MASE, Schaum s Outlines) 17/02/2017

Kinematics of Fluids. Lecture 16. (Refer the text book CONTINUUM MECHANICS by GEORGE E. MASE, Schaum s Outlines) 17/02/2017 17/0/017 Lecture 16 (Refer the text boo CONTINUUM MECHANICS by GEORGE E. MASE, Schaum s Outlnes) Knematcs of Fluds Last class, we started dscussng about the nematcs of fluds. Recall the Lagrangan and Euleran

More information

Three-dimensional eddy current analysis by the boundary element method using vector potential

Three-dimensional eddy current analysis by the boundary element method using vector potential Physcs Electrcty & Magnetsm felds Okayama Unversty Year 1990 Three-dmensonal eddy current analyss by the boundary element method usng vector potental H. Tsubo M. Tanaka Okayama Unversty Okayama Unversty

More information

High resolution entropy stable scheme for shallow water equations

High resolution entropy stable scheme for shallow water equations Internatonal Symposum on Computers & Informatcs (ISCI 05) Hgh resoluton entropy stable scheme for shallow water equatons Xaohan Cheng,a, Yufeng Ne,b, Department of Appled Mathematcs, Northwestern Polytechncal

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

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

χ x B E (c) Figure 2.1.1: (a) a material particle in a body, (b) a place in space, (c) a configuration of the body

χ x B E (c) Figure 2.1.1: (a) a material particle in a body, (b) a place in space, (c) a configuration of the body Secton.. Moton.. The Materal Body and Moton hyscal materals n the real world are modeled usng an abstract mathematcal entty called a body. Ths body conssts of an nfnte number of materal partcles. Shown

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

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

Tensor Smooth Length for SPH Modelling of High Speed Impact

Tensor Smooth Length for SPH Modelling of High Speed Impact Tensor Smooth Length for SPH Modellng of Hgh Speed Impact Roman Cherepanov and Alexander Gerasmov Insttute of Appled mathematcs and mechancs, Tomsk State Unversty 634050, Lenna av. 36, Tomsk, Russa RCherepanov82@gmal.com,Ger@npmm.tsu.ru

More information

Module 1 : The equation of continuity. Lecture 1: Equation of Continuity

Module 1 : The equation of continuity. Lecture 1: Equation of Continuity 1 Module 1 : The equaton of contnuty Lecture 1: Equaton of Contnuty 2 Advanced Heat and Mass Transfer: Modules 1. THE EQUATION OF CONTINUITY : Lectures 1-6 () () () (v) (v) Overall Mass Balance Momentum

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

Convexity preserving interpolation by splines of arbitrary degree

Convexity preserving interpolation by splines of arbitrary degree Computer Scence Journal of Moldova, vol.18, no.1(52), 2010 Convexty preservng nterpolaton by splnes of arbtrary degree Igor Verlan Abstract In the present paper an algorthm of C 2 nterpolaton of dscrete

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

Visco-Rubber Elastic Model for Pressure Sensitive Adhesive

Visco-Rubber Elastic Model for Pressure Sensitive Adhesive Vsco-Rubber Elastc Model for Pressure Senstve Adhesve Kazuhsa Maeda, Shgenobu Okazawa, Koj Nshgch and Takash Iwamoto Abstract A materal model to descrbe large deformaton of pressure senstve adhesve (PSA

More information

DUE: WEDS FEB 21ST 2018

DUE: WEDS FEB 21ST 2018 HOMEWORK # 1: FINITE DIFFERENCES IN ONE DIMENSION DUE: WEDS FEB 21ST 2018 1. Theory Beam bendng s a classcal engneerng analyss. The tradtonal soluton technque makes smplfyng assumptons such as a constant

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

The Feynman path integral

The Feynman path integral The Feynman path ntegral Aprl 3, 205 Hesenberg and Schrödnger pctures The Schrödnger wave functon places the tme dependence of a physcal system n the state, ψ, t, where the state s a vector n Hlbert space

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

Numerical Transient Heat Conduction Experiment

Numerical Transient Heat Conduction Experiment Numercal ransent Heat Conducton Experment OBJECIVE 1. o demonstrate the basc prncples of conducton heat transfer.. o show how the thermal conductvty of a sold can be measured. 3. o demonstrate the use

More information

Mathematical Preparations

Mathematical Preparations 1 Introducton Mathematcal Preparatons The theory of relatvty was developed to explan experments whch studed the propagaton of electromagnetc radaton n movng coordnate systems. Wthn expermental error the

More information

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal Inner Product Defnton 1 () A Eucldean space s a fnte-dmensonal vector space over the reals R, wth an nner product,. Defnton 2 (Inner Product) An nner product, on a real vector space X s a symmetrc, blnear,

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

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:

More information

Constitutive Modelling of Superplastic AA-5083

Constitutive Modelling of Superplastic AA-5083 TECHNISCHE MECHANIK, 3, -5, (01, 1-6 submtted: September 19, 011 Consttutve Modellng of Superplastc AA-5083 G. Gulano In ths study a fast procedure for determnng the constants of superplastc 5083 Al alloy

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

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

The Exact Formulation of the Inverse of the Tridiagonal Matrix for Solving the 1D Poisson Equation with the Finite Difference Method

The Exact Formulation of the Inverse of the Tridiagonal Matrix for Solving the 1D Poisson Equation with the Finite Difference Method Journal of Electromagnetc Analyss and Applcatons, 04, 6, 0-08 Publshed Onlne September 04 n ScRes. http://www.scrp.org/journal/jemaa http://dx.do.org/0.46/jemaa.04.6000 The Exact Formulaton of the Inverse

More information

MATH 5630: Discrete Time-Space Model Hung Phan, UMass Lowell March 1, 2018

MATH 5630: Discrete Time-Space Model Hung Phan, UMass Lowell March 1, 2018 MATH 5630: Dscrete Tme-Space Model Hung Phan, UMass Lowell March, 08 Newton s Law of Coolng Consder the coolng of a well strred coffee so that the temperature does not depend on space Newton s law of collng

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

Canonical transformations

Canonical transformations Canoncal transformatons November 23, 2014 Recall that we have defned a symplectc transformaton to be any lnear transformaton M A B leavng the symplectc form nvarant, Ω AB M A CM B DΩ CD Coordnate transformatons,

More information

THE EFFECT OF TORSIONAL RIGIDITY BETWEEN ELEMENTS ON FREE VIBRATIONS OF A TELESCOPIC HYDRAULIC CYLINDER SUBJECTED TO EULER S LOAD

THE EFFECT OF TORSIONAL RIGIDITY BETWEEN ELEMENTS ON FREE VIBRATIONS OF A TELESCOPIC HYDRAULIC CYLINDER SUBJECTED TO EULER S LOAD Journal of Appled Mathematcs and Computatonal Mechancs 7, 6(3), 7- www.amcm.pcz.pl p-issn 99-9965 DOI:.75/jamcm.7.3. e-issn 353-588 THE EFFECT OF TORSIONAL RIGIDITY BETWEEN ELEMENTS ON FREE VIBRATIONS

More information

Field computation with finite element method applied for diagnosis eccentricity fault in induction machine

Field computation with finite element method applied for diagnosis eccentricity fault in induction machine Proceedngs of the Internatonal Conference on Recent Advances n Electrcal Systems, Tunsa, 216 Feld computaton wth fnte element method appled for dagnoss eccentrcty fault n nducton machne Moufd Mohammed,

More information

11. Dynamics in Rotating Frames of Reference

11. Dynamics in Rotating Frames of Reference Unversty of Rhode Island DgtalCommons@URI Classcal Dynamcs Physcs Course Materals 2015 11. Dynamcs n Rotatng Frames of Reference Gerhard Müller Unversty of Rhode Island, gmuller@ur.edu Creatve Commons

More information

In this section is given an overview of the common elasticity models.

In this section is given an overview of the common elasticity models. Secton 4.1 4.1 Elastc Solds In ths secton s gven an overvew of the common elastcty models. 4.1.1 The Lnear Elastc Sold The classcal Lnear Elastc model, or Hooean model, has the followng lnear relatonshp

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

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

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

CS 468 Lecture 16: Isometry Invariance and Spectral Techniques

CS 468 Lecture 16: Isometry Invariance and Spectral Techniques CS 468 Lecture 16: Isometry Invarance and Spectral Technques Justn Solomon Scrbe: Evan Gawlk Introducton. In geometry processng, t s often desrable to characterze the shape of an object n a manner that

More information

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system Transfer Functons Convenent representaton of a lnear, dynamc model. A transfer functon (TF) relates one nput and one output: x t X s y t system Y s The followng termnology s used: x y nput output forcng

More information

Physics 1202: Lecture 11 Today s Agenda

Physics 1202: Lecture 11 Today s Agenda Physcs 122: Lecture 11 Today s Agenda Announcements: Team problems start ths Thursday Team 1: Hend Ouda, Mke Glnsk, Stephane Auger Team 2: Analese Bruder, Krsten Dean, Alson Smth Offce hours: Monday 2:3-3:3

More information

EVALUATION OF THE VISCO-ELASTIC PROPERTIES IN ASPHALT RUBBER AND CONVENTIONAL MIXES

EVALUATION OF THE VISCO-ELASTIC PROPERTIES IN ASPHALT RUBBER AND CONVENTIONAL MIXES EVALUATION OF THE VISCO-ELASTIC PROPERTIES IN ASPHALT RUBBER AND CONVENTIONAL MIXES Manuel J. C. Mnhoto Polytechnc Insttute of Bragança, Bragança, Portugal E-mal: mnhoto@pb.pt Paulo A. A. Perera and Jorge

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

Amplification and Relaxation of Electron Spin Polarization in Semiconductor Devices

Amplification and Relaxation of Electron Spin Polarization in Semiconductor Devices Amplfcaton and Relaxaton of Electron Spn Polarzaton n Semconductor Devces Yury V. Pershn and Vladmr Prvman Center for Quantum Devce Technology, Clarkson Unversty, Potsdam, New York 13699-570, USA Spn Relaxaton

More information

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS Avalable onlne at http://sck.org J. Math. Comput. Sc. 3 (3), No., 6-3 ISSN: 97-537 COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

More information

Difference Equations

Difference Equations Dfference Equatons c Jan Vrbk 1 Bascs Suppose a sequence of numbers, say a 0,a 1,a,a 3,... s defned by a certan general relatonshp between, say, three consecutve values of the sequence, e.g. a + +3a +1

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

Additional Codes using Finite Difference Method. 1 HJB Equation for Consumption-Saving Problem Without Uncertainty

Additional Codes using Finite Difference Method. 1 HJB Equation for Consumption-Saving Problem Without Uncertainty Addtonal Codes usng Fnte Dfference Method Benamn Moll 1 HJB Equaton for Consumpton-Savng Problem Wthout Uncertanty Before consderng the case wth stochastc ncome n http://www.prnceton.edu/~moll/ HACTproect/HACT_Numercal_Appendx.pdf,

More information

DETERMINATION OF TEMPERATURE DISTRIBUTION FOR ANNULAR FINS WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY BY HPM

DETERMINATION OF TEMPERATURE DISTRIBUTION FOR ANNULAR FINS WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY BY HPM Ganj, Z. Z., et al.: Determnaton of Temperature Dstrbuton for S111 DETERMINATION OF TEMPERATURE DISTRIBUTION FOR ANNULAR FINS WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY BY HPM by Davood Domr GANJI

More information

Hidden Markov Models & The Multivariate Gaussian (10/26/04)

Hidden Markov Models & The Multivariate Gaussian (10/26/04) CS281A/Stat241A: Statstcal Learnng Theory Hdden Markov Models & The Multvarate Gaussan (10/26/04) Lecturer: Mchael I. Jordan Scrbes: Jonathan W. Hu 1 Hdden Markov Models As a bref revew, hdden Markov models

More information

2.29 Numerical Fluid Mechanics Fall 2011 Lecture 12

2.29 Numerical Fluid Mechanics Fall 2011 Lecture 12 REVIEW Lecture 11: 2.29 Numercal Flud Mechancs Fall 2011 Lecture 12 End of (Lnear) Algebrac Systems Gradent Methods Krylov Subspace Methods Precondtonng of Ax=b FINITE DIFFERENCES Classfcaton of Partal

More information

FTCS Solution to the Heat Equation

FTCS Solution to the Heat Equation FTCS Soluton to the Heat Equaton ME 448/548 Notes Gerald Recktenwald Portland State Unversty Department of Mechancal Engneerng gerry@pdx.edu ME 448/548: FTCS Soluton to the Heat Equaton Overvew 1. Use

More information

Chapter 6 Electrical Systems and Electromechanical Systems

Chapter 6 Electrical Systems and Electromechanical Systems ME 43 Systems Dynamcs & Control Chapter 6: Electrcal Systems and Electromechancal Systems Chapter 6 Electrcal Systems and Electromechancal Systems 6. INTODUCTION A. Bazoune The majorty of engneerng systems

More information

PHYSICS - CLUTCH CH 28: INDUCTION AND INDUCTANCE.

PHYSICS - CLUTCH CH 28: INDUCTION AND INDUCTANCE. !! www.clutchprep.com CONCEPT: ELECTROMAGNETIC INDUCTION A col of wre wth a VOLTAGE across each end wll have a current n t - Wre doesn t HAVE to have voltage source, voltage can be INDUCED V Common ways

More information

U.C. Berkeley CS294: Beyond Worst-Case Analysis Luca Trevisan September 5, 2017

U.C. Berkeley CS294: Beyond Worst-Case Analysis Luca Trevisan September 5, 2017 U.C. Berkeley CS94: Beyond Worst-Case Analyss Handout 4s Luca Trevsan September 5, 07 Summary of Lecture 4 In whch we ntroduce semdefnte programmng and apply t to Max Cut. Semdefnte Programmng Recall that

More information

Application of B-Spline to Numerical Solution of a System of Singularly Perturbed Problems

Application of B-Spline to Numerical Solution of a System of Singularly Perturbed Problems Mathematca Aeterna, Vol. 1, 011, no. 06, 405 415 Applcaton of B-Splne to Numercal Soluton of a System of Sngularly Perturbed Problems Yogesh Gupta Department of Mathematcs Unted College of Engneerng &

More information

A particle in a state of uniform motion remain in that state of motion unless acted upon by external force.

A particle in a state of uniform motion remain in that state of motion unless acted upon by external force. The fundamental prncples of classcal mechancs were lad down by Galleo and Newton n the 16th and 17th centures. In 1686, Newton wrote the Prncpa where he gave us three laws of moton, one law of gravty,

More information

PHYSICS - CLUTCH 1E CH 28: INDUCTION AND INDUCTANCE.

PHYSICS - CLUTCH 1E CH 28: INDUCTION AND INDUCTANCE. !! www.clutchprep.com CONCEPT: ELECTROMAGNETIC INDUCTION A col of wre wth a VOLTAGE across each end wll have a current n t - Wre doesn t HAVE to have voltage source, voltage can be INDUCED V Common ways

More information

Poisson brackets and canonical transformations

Poisson brackets and canonical transformations rof O B Wrght Mechancs Notes osson brackets and canoncal transformatons osson Brackets Consder an arbtrary functon f f ( qp t) df f f f q p q p t But q p p where ( qp ) pq q df f f f p q q p t In order

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

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

829. An adaptive method for inertia force identification in cantilever under moving mass

829. An adaptive method for inertia force identification in cantilever under moving mass 89. An adaptve method for nerta force dentfcaton n cantlever under movng mass Qang Chen 1, Mnzhuo Wang, Hao Yan 3, Haonan Ye 4, Guola Yang 5 1,, 3, 4 Department of Control and System Engneerng, Nanng Unversty,

More information

Solutions for Euler and Navier-Stokes Equations in Powers of Time

Solutions for Euler and Navier-Stokes Equations in Powers of Time Solutons for Euler and Naver-Stokes Equatons n Powers of Tme Valdr Montero dos Santos Godo valdr.msgodo@gmal.com Abstract We present a soluton for the Euler and Naver-Stokes equatons for ncompressble case

More information

THE STURM-LIOUVILLE EIGENVALUE PROBLEM - A NUMERICAL SOLUTION USING THE CONTROL VOLUME METHOD

THE STURM-LIOUVILLE EIGENVALUE PROBLEM - A NUMERICAL SOLUTION USING THE CONTROL VOLUME METHOD Journal of Appled Mathematcs and Computatonal Mechancs 06, 5(), 7-36 www.amcm.pcz.pl p-iss 99-9965 DOI: 0.75/jamcm.06..4 e-iss 353-0588 THE STURM-LIOUVILLE EIGEVALUE PROBLEM - A UMERICAL SOLUTIO USIG THE

More information

The Geometry of Logit and Probit

The Geometry of Logit and Probit The Geometry of Logt and Probt Ths short note s meant as a supplement to Chapters and 3 of Spatal Models of Parlamentary Votng and the notaton and reference to fgures n the text below s to those two chapters.

More information

LOW BIAS INTEGRATED PATH ESTIMATORS. James M. Calvin

LOW BIAS INTEGRATED PATH ESTIMATORS. James M. Calvin Proceedngs of the 007 Wnter Smulaton Conference S G Henderson, B Bller, M-H Hseh, J Shortle, J D Tew, and R R Barton, eds LOW BIAS INTEGRATED PATH ESTIMATORS James M Calvn Department of Computer Scence

More information

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

Advanced Quantum Mechanics

Advanced Quantum Mechanics Advanced Quantum Mechancs Rajdeep Sensarma! sensarma@theory.tfr.res.n ecture #9 QM of Relatvstc Partcles Recap of ast Class Scalar Felds and orentz nvarant actons Complex Scalar Feld and Charge conjugaton

More information

Classical Field Theory

Classical Field Theory Classcal Feld Theory Before we embark on quantzng an nteractng theory, we wll take a dverson nto classcal feld theory and classcal perturbaton theory and see how far we can get. The reader s expected 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

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

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

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

Some modelling aspects for the Matlab implementation of MMA

Some modelling aspects for the Matlab implementation of MMA Some modellng aspects for the Matlab mplementaton of MMA Krster Svanberg krlle@math.kth.se Optmzaton and Systems Theory Department of Mathematcs KTH, SE 10044 Stockholm September 2004 1. Consdered optmzaton

More information

CONTROLLED FLOW SIMULATION USING SPH METHOD

CONTROLLED FLOW SIMULATION USING SPH METHOD HERI COADA AIR FORCE ACADEMY ROMAIA ITERATIOAL COFERECE of SCIETIFIC PAPER AFASES 01 Brasov, 4-6 May 01 GEERAL M.R. STEFAIK ARMED FORCES ACADEMY SLOVAK REPUBLIC COTROLLED FLOW SIMULATIO USIG SPH METHOD

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 151 Lecture 3 Lagrange s Equatons (Goldsten Chapter 1) Hamlton s Prncple (Chapter 2) What We Dd Last Tme! Dscussed mult-partcle systems! Internal and external forces! Laws of acton and

More information

A NUMERICAL COMPARISON OF LANGRANGE AND KANE S METHODS OF AN ARM SEGMENT

A NUMERICAL COMPARISON OF LANGRANGE AND KANE S METHODS OF AN ARM SEGMENT Internatonal Conference Mathematcal and Computatonal ology 0 Internatonal Journal of Modern Physcs: Conference Seres Vol. 9 0 68 75 World Scentfc Publshng Company DOI: 0.4/S009450059 A NUMERICAL COMPARISON

More information

Solution Thermodynamics

Solution Thermodynamics Soluton hermodynamcs usng Wagner Notaton by Stanley. Howard Department of aterals and etallurgcal Engneerng South Dakota School of nes and echnology Rapd Cty, SD 57701 January 7, 001 Soluton hermodynamcs

More information

Physics 181. Particle Systems

Physics 181. Particle Systems Physcs 181 Partcle Systems Overvew In these notes we dscuss the varables approprate to the descrpton of systems of partcles, ther defntons, ther relatons, and ther conservatons laws. We consder a system

More information

College of Computer & Information Science Fall 2009 Northeastern University 20 October 2009

College of Computer & Information Science Fall 2009 Northeastern University 20 October 2009 College of Computer & Informaton Scence Fall 2009 Northeastern Unversty 20 October 2009 CS7880: Algorthmc Power Tools Scrbe: Jan Wen and Laura Poplawsk Lecture Outlne: Prmal-dual schema Network Desgn:

More information

Note 10. Modeling and Simulation of Dynamic Systems

Note 10. Modeling and Simulation of Dynamic Systems Lecture Notes of ME 475: Introducton to Mechatroncs Note 0 Modelng and Smulaton of Dynamc Systems Department of Mechancal Engneerng, Unversty Of Saskatchewan, 57 Campus Drve, Saskatoon, SK S7N 5A9, Canada

More information

CHAPTER 14 GENERAL PERTURBATION THEORY

CHAPTER 14 GENERAL PERTURBATION THEORY CHAPTER 4 GENERAL PERTURBATION THEORY 4 Introducton A partcle n orbt around a pont mass or a sphercally symmetrc mass dstrbuton s movng n a gravtatonal potental of the form GM / r In ths potental t moves

More information

Chapter - 2. Distribution System Power Flow Analysis

Chapter - 2. Distribution System Power Flow Analysis Chapter - 2 Dstrbuton System Power Flow Analyss CHAPTER - 2 Radal Dstrbuton System Load Flow 2.1 Introducton Load flow s an mportant tool [66] for analyzng electrcal power system network performance. Load

More information

The Two-scale Finite Element Errors Analysis for One Class of Thermoelastic Problem in Periodic Composites

The Two-scale Finite Element Errors Analysis for One Class of Thermoelastic Problem in Periodic Composites 7 Asa-Pacfc Engneerng Technology Conference (APETC 7) ISBN: 978--6595-443- The Two-scale Fnte Element Errors Analyss for One Class of Thermoelastc Problem n Perodc Compostes Xaoun Deng Mngxang Deng ABSTRACT

More information

Consideration of 2D Unsteady Boundary Layer Over Oscillating Flat Plate

Consideration of 2D Unsteady Boundary Layer Over Oscillating Flat Plate Proceedngs of the th WSEAS Internatonal Conference on Flud Mechancs and Aerodynamcs, Elounda, Greece, August -, (pp-) Consderaton of D Unsteady Boundary Layer Over Oscllatng Flat Plate N.M. NOURI, H.R.

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

COEFFICIENT DIAGRAM: A NOVEL TOOL IN POLYNOMIAL CONTROLLER DESIGN

COEFFICIENT DIAGRAM: A NOVEL TOOL IN POLYNOMIAL CONTROLLER DESIGN Int. J. Chem. Sc.: (4), 04, 645654 ISSN 097768X www.sadgurupublcatons.com COEFFICIENT DIAGRAM: A NOVEL TOOL IN POLYNOMIAL CONTROLLER DESIGN R. GOVINDARASU a, R. PARTHIBAN a and P. K. BHABA b* a Department

More information

Lecture 6/7 (February 10/12, 2014) DIRAC EQUATION. The non-relativistic Schrödinger equation was obtained by noting that the Hamiltonian 2

Lecture 6/7 (February 10/12, 2014) DIRAC EQUATION. The non-relativistic Schrödinger equation was obtained by noting that the Hamiltonian 2 P470 Lecture 6/7 (February 10/1, 014) DIRAC EQUATION The non-relatvstc Schrödnger equaton was obtaned by notng that the Hamltonan H = P (1) m can be transformed nto an operator form wth the substtutons

More information

arxiv: v1 [physics.flu-dyn] 16 Sep 2013

arxiv: v1 [physics.flu-dyn] 16 Sep 2013 Three-Dmensonal Smoothed Partcle Hydrodynamcs Method for Smulatng Free Surface Flows Rzal Dw Prayogo a,b, Chrstan Fredy Naa a a Faculty of Mathematcs and Natural Scences, Insttut Teknolog Bandung, Jl.

More information

Irregular vibrations in multi-mass discrete-continuous systems torsionally deformed

Irregular vibrations in multi-mass discrete-continuous systems torsionally deformed (2) 4 48 Irregular vbratons n mult-mass dscrete-contnuous systems torsonally deformed Abstract In the paper rregular vbratons of dscrete-contnuous systems consstng of an arbtrary number rgd bodes connected

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

ON MECHANICS WITH VARIABLE NONCOMMUTATIVITY

ON MECHANICS WITH VARIABLE NONCOMMUTATIVITY ON MECHANICS WITH VARIABLE NONCOMMUTATIVITY CIPRIAN ACATRINEI Natonal Insttute of Nuclear Physcs and Engneerng P.O. Box MG-6, 07725-Bucharest, Romana E-mal: acatrne@theory.npne.ro. Receved March 6, 2008

More information

Lifetime prediction of EP and NBR rubber seal by thermos-viscoelastic model

Lifetime prediction of EP and NBR rubber seal by thermos-viscoelastic model ECCMR, Prague, Czech Republc; September 3 th, 2015 Lfetme predcton of EP and NBR rubber seal by thermos-vscoelastc model Kotaro KOBAYASHI, Takahro ISOZAKI, Akhro MATSUDA Unversty of Tsukuba, Japan Yoshnobu

More information

Adjoint Methods of Sensitivity Analysis for Lyapunov Equation. Boping Wang 1, Kun Yan 2. University of Technology, Dalian , P. R.

Adjoint Methods of Sensitivity Analysis for Lyapunov Equation. Boping Wang 1, Kun Yan 2. University of Technology, Dalian , P. R. th World Congress on Structural and Multdscplnary Optmsaton 7 th - th, June 5, Sydney Australa Adjont Methods of Senstvty Analyss for Lyapunov Equaton Bopng Wang, Kun Yan Department of Mechancal and Aerospace

More information

FUZZY FINITE ELEMENT METHOD

FUZZY FINITE ELEMENT METHOD FUZZY FINITE ELEMENT METHOD RELIABILITY TRUCTURE ANALYI UING PROBABILITY 3.. Maxmum Normal tress Internal force s the shear force, V has a magntude equal to the load P and bendng moment, M. Bendng moments

More information