FINITE ELEMENT : MATRIX FORMULATION. Georges Cailletaud Ecole des Mines de Paris, Centre des Matériaux UMR CNRS 7633
|
|
- Grant Carter
- 7 years ago
- Views:
Transcription
1 FINITE ELEMENT : MATRIX FORMULATION Georges Cailletaud Ecole des Mines de Paris, Centre des Matériaux UMR CNRS 76
2 FINITE ELEMENT : MATRIX FORMULATION Discrete vs continuous Element type Polynomial approximation Matrices [N] and [B] Weak form Matrices [K] Boundary conditions Global problem
3 Continuous Discrete Continuous How much rain?
4 Continuous Discrete Continuous Geometry discretization
5 Continuous Discrete Continuous Unknown field discretization
6 Continuous Discrete Continuous Use elements
7 Finite Element Discretization Replace continuum formulation by a discrete representation for unknowns and geometry Unknown field: u e (M) = i N e i (M)q e i Geometry: x(m) = i N e i (M)x(P i ) Interpolation functions Ni e e and shape functions Ni M, Ni e (M) = and Ni e (P j ) = δ ij i such as: Isoparametric elements iff N e i N e i
8 D-mapping Subparametric Superparametric Isoparametric element element element Geometry Unknown field Geometry Unknown field Geometry Unknown field more field nodes more geometrical nodes same number of than geometrical nodes than field nodes geom and field nodes Rigid body displacement not represented for superparametric element that has nonlinear edges! The location of the node at the middle of the edge is critical for quadratic edges
9 Shape function matrix, [N] Deformation matrix, [B] Field u, T, C Gradient ε, grad(t ),... Constitutive equations σ = Λ : ε, q = kgrad(t ) Conservation div(σ ) + f = 0,... First step: express the continuous field and its gradient wrt the discretized vector
10 Deformation matrix [B] () Knowing: u e (M) = i N e i (M)q e i Deformation can be obtained from the nodal displacements, for instance in D, small strain: ε xx = u x x = N (M) x ε yy = u y y = N (M) y ε xy = u x y + u y x = N (M) y q e x + N (M) x q e y + N (M) y q e x + N (M) x q e x +... q e y +... q e y +...
11 Matrix form, -node quadrilateral Deformation matrix [B] () {u} e = [N] T {q} e = N 0 N 0 N 0 N 0 0 N 0 N 0 N 0 N qx e qy e... q e y {ε} e = [B] T {q} e = N,x 0 N,x 0 N,x 0 N,x 0 0 N,y 0 N,y 0 N,y 0 N,y N,y N,x N,y N,x N,y N,x N,y N,x qx e qy e... q e y Shear term taken as γ = ε
12 Reference element η η y ξ ξ Actual geometry Physical space (x, y) x Ω f(x, y)dxdy = Reference element Parent space (ξ, η) + + f (ξ, η)jdξdη J is the determinant of the partial derivatives x/ ξ... matrix
13 Remarks on geometrical mapping The values on an edge depends only on the nodal values on the same edge (linear interpolation equal to zero on each side for -node lines, parabolic interpolation equal to zero for points for -node lines) Continuity... The mid node is used to allow non linear geometries Limits in the admissible mapping for avoiding singularities
14 Mapping of a -node line x ξ x =0 x =/ x = Physical segment: x =- x = x Parent segment: ξ =- ξ = ξ =0 x = ξ + ( ξ ) x
15 Jacobian and inverse jacobian matrix x dx = ξ dy y ξ x η y dξ = [J] dξ dη dη η dξ = dη ξ x η x ξ y η dx = [J] dx dy dy y Since (x, y) are known from N i (ξ, η) and x i, [J] is computed from the known quantities in [J], using also: J = Det ([J]) = x ξ y η y ξ x η
16 Expression of the inverse jacobian matrix [J] = J y η x η y ξ x ξ For a rectangle [±a, ±b] in the real world, the mapping function is the same for any point inside the rectangle. The jacobian is a diagonal matrix, with x/ ξ = a, y/ η = b, and the determinant value is ab For any other shape, the mapping changes according to the location in the element For computing [B], one has to consider N i / x and N i / y: N i x = N i ξ N i y = N i ξ ξ x + N i η ξ y + N i η η x η y then N i/ x = [J] N i/ ξ N i / y N i / η
17 D solid elements Type shape interpol # of polynom of disp nodes terms CD tri lin, ξ, η CD quad lin, ξ, η, ξη CD6 tri quad 6, ξ, η, ξ, ξη, η CD8 quad quad 8, ξ, η, ξ, ξη, η, ξ η, ξη CD9 quad quad 9, ξ, η, ξ, ξη, η, ξ η, ξη, ξ η
18 D solid elements Type shape interpol # of polynom of disp nodes terms CD tetra lin, ξ, η, ζ CD6 tri prism lin 6, ξ, η, ζ, ξη, ηζ CD8 hexa lin 8, ξ, η, ζ, ξη, ηζ, ζξ, ξηζ CD0 tetra quad 0, ξ, η, ζ, ξ, ξη, η, ηζ, ζ, ζξ CD5 tri prism quad 5, ξ, η, ζ, ξη, ηζ, ξ ζ, ξηζ, η ζ, ζ, ξζ, ηζ, ξ ζ, ξηζ, η ζ CD0 hexa quad 0, ξ, η, ζ, ξ, ξη, η, ηζ, ζ, ζξ, ξ η, ξη, η ζ, ηζ, ξζ, ξ ζ, ξηζ, ξ ηζ, ξη ζ, ξηζ CD7 hexa quad 7 ξ i η j ζ k, (i, j, k) 0,,
19 Isoparametric representation Example: D plane stress elements with n nodes Element geometry = n N i x = i= Displacement interpolation Matrix form u x = n N i x i y = i= n N i u xi u y = i= n N i y i i= n N i u y i i=... x x x x... x n y = y y y... y n u x u x u x u x... u xn u y u y u y u y... u yn N N N.. N n
20 The linear triangle IFEM Felippa Terms in, ξ, η
21 The bilinear quad IFEM Felippa Terms in, ξ, η, ξη
22 The quadratic triangle IFEM Felippa Terms in, ξ, η, ξ, ξη, η
23 The biquadratic quad IFEM Felippa Terms in, ξ, η, ξ, ξη, η, ξ η, ξη, ξ η
24 The 8-node quad IFEM Felippa Corner nodes: N i = ( + ξξ i)( + ηη i )(ξξ i + ηη i ) Mid nodes, ξ i = 0: N i = ( ξ )( + ηη i ) Mid nodes, η i = 0: n I = ( η )( + ξξ i ) Terms in, ξ, η, ξ, ξη, η, ξ η, ξη
25 Approximated field Polynomial basis ξ η ξ ξη η ξ ξ η ξη η Examples : CD ( + ξ i ξ)( + η i η) CD8, corner 0.5( + ξ i ξ + η i η)( + ξ i ξ)( + η i η) CD8 middle 0.5(. ξ )(. + η i η)
26 The -node infinite element Displacement is assumed to be q at node and q = 0 at node x ξ x x Interpolation Geometry N = ξ N such as x = x + α + ξ ξ ξ =? N = + ξ N = 0 Resulting displacement interpolation u(x) =??
27 The -node infinite element Displacement is assumed to be q at node and q = 0 at node x ξ x x Interpolation Geometry N = ξ N such as x = x + α + ξ ξ ξ = x x α x x + α Resulting displacement interpolation u(x) =? N = + ξ N = 0
28 The -node infinite element Displacement is assumed to be q at node and q = 0 at node x ξ x x Interpolation Geometry N = ξ N such as x = x + α + ξ ξ ξ = x x α x x + α Resulting displacement interpolation N = + ξ u(x) = N (x) q = N (ξ(x)) q = N = 0 αq x x + α
29 Connecting element lin. quad. Connection between a linear and a quadratic quad Quadratic interpolation with node number 8 in the middle of 7: u(m) = N q + N 8 q 8 + N 7 q 7 On edge 7, in the linear element, the displacement should verify: q 8 =? Overloaded shape function in nodes and 7 after suppressing node 8: u(m) =??
30 Connecting element lin. quad. Connection between a linear and a quadratic quad Quadratic interpolation with node number 8 in the middle of 7: u(m) = N q + N 8 q 8 + N 7 q 7 On edge 7, in the linear element, the displacement should verify: q 8 = (q + q 7 )/ Overloaded shape function in nodes and 7 after suppressing node 8: u(m) =??
31 Connecting element lin. quad. Connection between a linear and a quadratic quad Quadratic interpolation with node number 8 in the middle of 7: u(m) = N q + N 8 q 8 + N 7 q 7 On edge 7, in the linear element, the displacement should verify: q 8 = (q + q 7 )/ Overloaded shape function in nodes and 7 after suppressing node 8: ( u(m) = N + N ) ( 8 q + N 7 + N ) 8 q 7
32 Thermal conduction Strong form: GIVEN r : Ω R, a volumetric flux, φ d : Γ f R, a surface flux, T d : Γ u R, a prescribed temperature, FIND T : Ω R, the temperature, such as: in Ω φ i,i = r on Γ u T = T d on Γ F φ i n i = Φ d Constitutive equation (Fourier, flux (W/m ) proportional to the temperature gradient) φ i = κ ij T, j conductivity matrix: [κ] (W/m.K)
33 Thermal conduction () Weak form: S, trial solution space, such as T = T d on Γ u V, variation space, such as δt = 0 on Γ u GIVEN r : Ω R, a volumetric flux, FIND Φ d : T d : T S such as δt V Ω φ i δt, i dω = Ω Γ f R, a surface flux, Γ u R, a prescribed temperature, δt rdω + Γ F δt Φ d dγ For any temperature variation compatible with prescribed temperature field around a state which respects equilibrium, the internal power variation is equal to the external power variation: δt, i φ i is in W/m T is present in φ i = κ ij T, j
34 Elastostatic Strong form: volume Ω with prescribed volume forces f d : σ ij,j + f i = 0 surface Γ F with prescribed forces F d : Fi d = σ ij n j surface Γ u with prescribed displacements u d : u i = u d i Constitutive equation: σ ij = Λ ijkl ε kl = Λ ijkl u k,l So that: Λ ijkl u k,lj + f i = 0
35 Principle of virtual power Weak form: volume V with prescribed volume forces : f d surface Γ F with prescribed forces : F d surface Γ u with prescribed displacements : u d Virtual displacement rate u kinematically admissible ( u = u d on Γ u ) The variation u is such as: u = 0 on Γ u. Galerkin form writes, u: σ : ε dω = f d u dω + u ds Ω Ω Γ F F d
36 Discrete form of virtual power Application of Galerkin approach for continuum mechanics: virtual displacement rate u w h ; σ u h, x { u e }, nodal displacements allow us to compute u and ε : u = [N]{ u e } ; ε = [B]{ u e } Galerkin form writes, { u e }: ( ) {σ({u e }).[B].{ u e } dω Ω elt = elt ( Ω f d.[n].{ u e } dω + ) F d.[n].{ u e } ds Γ F
37 Internal and external forces In each element e: Internal forces: {F e int} = Ω {σ({u e }).[B] dω = Ω [B] T {σ({u e }) dω External forces: {F e ext} = Ω f d.[n]dω + Γ F F d.[n]ds The solution of the problem: {Fint e ({ue })} = {Fext} e with Newton iterative algorithm will use the jacobian matrix : [K e ] = {F int e } {u e } = [B] T. {σ} {ε}. {ε} {u e } dω = [B] T. {σ}.[b] dω {ε} Ω Ω
38 Linear and non linear behavior Applying the principle of virtual power Stationnary point of Potential Energy For elastic behavior [K e ] = Ω [B] T.[Λ ].[B] dω is symmetric, positive definite (true since σ and ε are conjugated) [ ] {σ} For non linear behavior, one has to examine [L c ] =. Note that [L c ] can be {ε} approached (quasi-newton). {F e ext} may depend on {u e } (large displacements).
39 Elastostatic, strong and weak form, a summary BCu Displacements u Body forces f Kinematics Equilibrium Strains ε Constitutive equations Stresses σ BCs STRONG BCu: u = u d on Γ u Kinematics: ε = [B] u in Ω Constitutive equation: σ = Λε Equilibrium: [B] σ + f = 0 BCs: σn = F on Γ F WEAK BCu: u h = u d on Γ u Kinematics: ε = [B] u h in Ω Constitutive equation: σ = Λε Equilibrium: δπ = 0 BCs: δπ = 0
40 Matrix vectors formulation of the weak form of the problem [K] {q} = {F } Thermal conduction: [K] = Ω [B] T [κ] [B] dω {F } = Ω [N] rdω + Ω [N] Φ d dγ Elasticity: [K] = Ω [B] T [Λ] [B] dω {F } = Ω [N] f d dω + Ω [N] F d dγ In each element e: Internal forces: {F e int} = Ω {σ({u e }).[B] dω = Ω [B] T {σ({u e }) dω External forces: {F e ext} = Ω f d.[n]dω + Γ F F d.[n]ds
41 The stiffness matrix Example of a -node quad and of a 0-node hexahedron () [B] T [D] [B] [K] (6) (6) 8 (60) 8 (60) 8 8 (60) (6) (6) (60) = The element stiffness matrix is a square matrix, symmetric, with no zero inside. Its size is equal to the number of dof of the element.
42 Nodal forces () {F e ext} = Γ F [N] T F d ds η 7 F t F n η ξ ξ F x ds = F t dx F n dy F y ds = F n dx + F t dy with dx = [J] dξ dy dη
43 Integration on edge 5 7: Nodal forces () dx = x ξ dξ y dy = ξ dξ Components 9, 0, for the nodes 5;, for nodes 6;, for nodes 7 F e ext(i ) = e F e ext(i) = e ( ) x N i F t ξ F y n dξ ξ ( x N i F n ξ + F y t ξ ) dξ Example, for a pressure F n = p, and no shear (F t = 0) on the 5 7 edge of a 8-node rectangle a x a y = b represented by ξ η = x ξ = a y ξ = 0 N 5 = ξ( + ξ)/ N 6 = ξ N 7 = ξ( ξ)/
44 Nodal forces () () () () F 0 = F 5y = e F = F 6y = e ξ( + ξ)padξ = ap ( ξ )padξ = ap The nodal forces at the middle node are times the nodal forces at corner nodes for an uniform pressure (distribution... after adding the contribution of each element)
45 Axisymmetric 8-node quad Nodal forces () z () () Face of a 0-node hexahedron () ( ) () ( ) () () ( ) ( )
46 Face of a 7-node hexahedron Nodal forces (5) who knows? Face of a 5-node hexahedron () () ()
47 Assembling the global matrix B A C Local versus global numbering
48 Assembling the global matrix F = F A F = F A +F B F = +F B F = F A +F B +F C F 5 = +F B +F C F 6 = +F C F 7 = +F C q = q A q = q A = q B q = = q B q = q A = q B = q C q 5 = = q B = q C q 6 = = q C q 7 = = q C 6 7 C 5 A B
49 Assembling the global matrix B A C
50 Assembling the global matrix B A C
51 Assembling the global matrix 6 C 7 5 A B
52 Assembling the global matrix 6 C 7 5 A B
53 Assembling the global matrix 6 C 7 5 A B
54 Assembling the global matrix 6 C 7 5 A B
55 Assembling the global matrix C A B
56 Assembling the global matrix C A B
57 Assembling the global matrix C A B
58 Assembling the global matrix C B A
59 Assembling the global matrix B A C
60 Global algorithm For each loading increment, do while {R} iter > EP SI: iter = 0; iter < IT ERMAX; iter + +. Update displacements: {u} iter+ = {u} iter + δ{u} iter. Compute {ε} = [B]. {u} iter+ then ε for each Gauss point. Integrate the constitutive equation: ε σ, α I, σ ε. Compute int and ext forces: {F int ({u} t + {u} iter+ )}, {F e } 5. Compute the residual force: {R} iter+ = {F int } {F e } 6. New displacement increment: δ{u} iter+ = [K].{R} iter+
61 Value of the residual forces < R ɛ, e.g. Convergence Relative values: {R} n = ( i R n i ) /n ; {R} = max i R i {R} i {R} e {R} e < ɛ Displacements {U}k+ {U} k n < U ɛ Energy [ {U}k+ {U} k ] T. {R}k < W ɛ
INTRODUCTION TO THE FINITE ELEMENT METHOD
INTRODUCTION TO THE FINITE ELEMENT METHOD G. P. Nikishkov 2004 Lecture Notes. University of Aizu, Aizu-Wakamatsu 965-8580, Japan niki@u-aizu.ac.jp 2 Updated 2004-01-19 Contents 1 Introduction 5 1.1 What
More informationFinite Elements for 2 D Problems
Finite Elements for 2 D Problems General Formula for the Stiffness Matrix Displacements (u, v) in a plane element are interpolated from nodal displacements (ui, vi) using shape functions Ni as follows,
More informationFinite Element Formulation for Plates - Handout 3 -
Finite Element Formulation for Plates - Handout 3 - Dr Fehmi Cirak (fc286@) Completed Version Definitions A plate is a three dimensional solid body with one of the plate dimensions much smaller than the
More informationStiffness Matrices of Isoparametric Four-node Finite Elements by Exact Analytical Integration
Stiffness Matrices of Isoparametric Four-node Finite Elements by Exact Analytical Integration Key words: Gautam Dasgupta, Member ASCE Columbia University, New York, NY C ++ code, convex quadrilateral element,
More informationHøgskolen i Narvik Sivilingeniørutdanningen STE6237 ELEMENTMETODER. Oppgaver
Høgskolen i Narvik Sivilingeniørutdanningen STE637 ELEMENTMETODER Oppgaver Klasse: 4.ID, 4.IT Ekstern Professor: Gregory A. Chechkin e-mail: chechkin@mech.math.msu.su Narvik 6 PART I Task. Consider two-point
More informationFinite Element Formulation for Beams - Handout 2 -
Finite Element Formulation for Beams - Handout 2 - Dr Fehmi Cirak (fc286@) Completed Version Review of Euler-Bernoulli Beam Physical beam model midline Beam domain in three-dimensions Midline, also called
More informationFUNDAMENTAL FINITE ELEMENT ANALYSIS AND APPLICATIONS
FUNDAMENTAL FINITE ELEMENT ANALYSIS AND APPLICATIONS With Mathematica and MATLAB Computations M. ASGHAR BHATTI WILEY JOHN WILEY & SONS, INC. CONTENTS OF THE BOOK WEB SITE PREFACE xi xiii 1 FINITE ELEMENT
More informationCAE -Finite Element Method
16.810 Engineering Design and Rapid Prototyping Lecture 3b CAE -Finite Element Method Instructor(s) Prof. Olivier de Weck January 16, 2007 Numerical Methods Finite Element Method Boundary Element Method
More informationStress Recovery 28 1
. 8 Stress Recovery 8 Chapter 8: STRESS RECOVERY 8 TABLE OF CONTENTS Page 8.. Introduction 8 8.. Calculation of Element Strains and Stresses 8 8.. Direct Stress Evaluation at Nodes 8 8.. Extrapolation
More informationElasticity Theory Basics
G22.3033-002: Topics in Computer Graphics: Lecture #7 Geometric Modeling New York University Elasticity Theory Basics Lecture #7: 20 October 2003 Lecturer: Denis Zorin Scribe: Adrian Secord, Yotam Gingold
More informationFinite Element Method (ENGC 6321) Syllabus. Second Semester 2013-2014
Finite Element Method Finite Element Method (ENGC 6321) Syllabus Second Semester 2013-2014 Objectives Understand the basic theory of the FEM Know the behaviour and usage of each type of elements covered
More informationFeature Commercial codes In-house codes
A simple finite element solver for thermo-mechanical problems Keywords: Scilab, Open source software, thermo-elasticity Introduction In this paper we would like to show how it is possible to develop a
More informationThe elements used in commercial codes can be classified in two basic categories:
CHAPTER 3 Truss Element 3.1 Introduction The single most important concept in understanding FEA, is the basic understanding of various finite elements that we employ in an analysis. Elements are used for
More informationDYNAMIC ANALYSIS OF THICK PLATES SUBJECTED TO EARTQUAKE
DYNAMIC ANALYSIS OF THICK PLATES SUBJECTED TO EARTQUAKE ÖZDEMİR Y. I, AYVAZ Y. Posta Adresi: Department of Civil Engineering, Karadeniz Technical University, 68 Trabzon, TURKEY E-posta: yaprakozdemir@hotmail.com
More informationCAE -Finite Element Method
16.810 Engineering Design and Rapid Prototyping CAE -Finite Element Method Instructor(s) Prof. Olivier de Weck January 11, 2005 Plan for Today Hand Calculations Aero Æ Structures FEM Lecture (ca. 45 min)
More information820446 - ACMSM - Computer Applications in Solids Mechanics
Coordinating unit: 820 - EUETIB - Barcelona College of Industrial Engineering Teaching unit: 737 - RMEE - Department of Strength of Materials and Structural Engineering Academic year: Degree: 2015 BACHELOR'S
More informationAn Object-Oriented class design for the Generalized Finite Element Method programming
10(2013) 1267 1291 An Object-Oriented class design for the Generalized Finite Element Method programming Abstract The Generalized Finite Element Method (GFEM) is a numerical method based on the Finite
More informationA gentle introduction to the Finite Element Method. Francisco Javier Sayas
A gentle introduction to the Finite Element Method Francisco Javier Sayas 2008 An introduction If you haven t been hiding under a stone during your studies of engineering, mathematics or physics, it is
More informationIntroduction to the Finite Element Method
Introduction to the Finite Element Method 09.06.2009 Outline Motivation Partial Differential Equations (PDEs) Finite Difference Method (FDM) Finite Element Method (FEM) References Motivation Figure: cross
More informationFinite Element Methods (in Solid and Structural Mechanics)
CEE570 / CSE 551 Class #1 Finite Element Methods (in Solid and Structural Mechanics) Spring 2014 Prof. Glaucio H. Paulino Donald Biggar Willett Professor of Engineering Department of Civil and Environmental
More informationScalars, Vectors and Tensors
Scalars, Vectors and Tensors A scalar is a physical quantity that it represented by a dimensional number at a particular point in space and time. Examples are hydrostatic pressure and temperature. A vector
More informationIntroduction to the Finite Element Method (FEM)
Introduction to the Finite Element Method (FEM) ecture First and Second Order One Dimensional Shape Functions Dr. J. Dean Discretisation Consider the temperature distribution along the one-dimensional
More informationThe Basics of FEA Procedure
CHAPTER 2 The Basics of FEA Procedure 2.1 Introduction This chapter discusses the spring element, especially for the purpose of introducing various concepts involved in use of the FEA technique. A spring
More informationAn Overview of the Finite Element Analysis
CHAPTER 1 An Overview of the Finite Element Analysis 1.1 Introduction Finite element analysis (FEA) involves solution of engineering problems using computers. Engineering structures that have complex geometry
More informationScientic Computing 2013 Computer Classes: Worksheet 11: 1D FEM and boundary conditions
Scientic Computing 213 Computer Classes: Worksheet 11: 1D FEM and boundary conditions Oleg Batrashev November 14, 213 This material partially reiterates the material given on the lecture (see the slides)
More informationA quadrilateral 2-D finite element based on mixed interpolation of tensorial
A quadrilateral 2-D finite element based on mixed interpolation of tensorial components Eduardo N. Dvorkin and Sara I. Vassolo* Instituto de Materiales y Estructuras, Facultad de Ingenieria, Universidad
More informationESCUELA TÉCNICA SUPERIOR DE INGENIEROS INDUSTRIALES Y DE TELECOMUNICACIÓN
ESCUELA TÉCNICA SUPERIOR DE INGENIEROS INDUSTRIALES Y DE TELECOMUNICACIÓN Titulación: INGENIERO INDUSTRIAL Título del proyecto: MODELING CRACKS WITH ABAQUS Pablo Sanchis Gurpide Pamplona, 22 de Julio del
More informationFinite Element Method
16.810 (16.682) Engineering Design and Rapid Prototyping Finite Element Method Instructor(s) Prof. Olivier de Weck deweck@mit.edu Dr. Il Yong Kim kiy@mit.edu January 12, 2004 Plan for Today FEM Lecture
More informationDevelopment of Membrane, Plate and Flat Shell Elements in Java
Development of Membrane, Plate and Flat Shell Elements in Java by Kaushalkumar Kansara Thesis submitted to the Faculty of the Virginia Polytechnic Institute & State University In partial fulfillment of
More informationCOMPUTATION OF THREE-DIMENSIONAL ELECTRIC FIELD PROBLEMS BY A BOUNDARY INTEGRAL METHOD AND ITS APPLICATION TO INSULATION DESIGN
PERIODICA POLYTECHNICA SER. EL. ENG. VOL. 38, NO. ~, PP. 381-393 (199~) COMPUTATION OF THREE-DIMENSIONAL ELECTRIC FIELD PROBLEMS BY A BOUNDARY INTEGRAL METHOD AND ITS APPLICATION TO INSULATION DESIGN H.
More information3D plasticity. Write 3D equations for inelastic behavior. Georges Cailletaud, Ecole des Mines de Paris, Centre des Matériaux
3D plasticity 3D viscoplasticity 3D plasticity Perfectly plastic material Direction of plastic flow with various criteria Prandtl-Reuss, Hencky-Mises, Prager rules Write 3D equations for inelastic behavior
More informationReliable FE-Modeling with ANSYS
Reliable FE-Modeling with ANSYS Thomas Nelson, Erke Wang CADFEM GmbH, Munich, Germany Abstract ANSYS is one of the leading commercial finite element programs in the world and can be applied to a large
More informationjorge s. marques image processing
image processing images images: what are they? what is shown in this image? What is this? what is an image images describe the evolution of physical variables (intensity, color, reflectance, condutivity)
More informationHøgskolen i Narvik Sivilingeniørutdanningen
Høgskolen i Narvik Sivilingeniørutdanningen Eksamen i Faget STE66 ELASTISITETSTEORI Klasse: 4.ID Dato: 7.0.009 Tid: Kl. 09.00 1.00 Tillatte hjelpemidler under eksamen: Kalkulator Kopi av Boken Mechanics
More informationNonlinear Algebraic Equations Example
Nonlinear Algebraic Equations Example Continuous Stirred Tank Reactor (CSTR). Look for steady state concentrations & temperature. s r (in) p,i (in) i In: N spieces with concentrations c, heat capacities
More information4.3 Draft 5/27/04 2004 J.E. Akin 1
4. Draft 5/7/04 004 J.E. Akin Chapter INTRODUCTION. Finite Element Methods The goal of this text is to introduce finite element methods from a rather broad perspective. We will consider the basic theory
More informationUnit 6 Plane Stress and Plane Strain
Unit 6 Plane Stress and Plane Strain Readings: T & G 8, 9, 10, 11, 12, 14, 15, 16 Paul A. Lagace, Ph.D. Professor of Aeronautics & Astronautics and Engineering Systems There are many structural configurations
More informationModelling unilateral frictionless contact using. the null-space method and cubic B-Spline. interpolation
Modelling unilateral frictionless contact using the null-space method and cubic B-Spline interpolation J. Muñoz Dep. Applied Mathematics III, LaCàN Univ. Politècnica de Catalunya (UPC), Spain Abstract
More informationShell Elements in ABAQUS/Explicit
ABAQUS/Explicit: Advanced Topics Appendix 2 Shell Elements in ABAQUS/Explicit ABAQUS/Explicit: Advanced Topics A2.2 Overview ABAQUS/Explicit: Advanced Topics ABAQUS/Explicit: Advanced Topics A2.4 Triangular
More informationExact shape-reconstruction by one-step linearization in electrical impedance tomography
Exact shape-reconstruction by one-step linearization in electrical impedance tomography Bastian von Harrach harrach@math.uni-mainz.de Institut für Mathematik, Joh. Gutenberg-Universität Mainz, Germany
More informationTWO-DIMENSIONAL FINITE ELEMENT ANALYSIS OF FORCED CONVECTION FLOW AND HEAT TRANSFER IN A LAMINAR CHANNEL FLOW
TWO-DIMENSIONAL FINITE ELEMENT ANALYSIS OF FORCED CONVECTION FLOW AND HEAT TRANSFER IN A LAMINAR CHANNEL FLOW Rajesh Khatri 1, 1 M.Tech Scholar, Department of Mechanical Engineering, S.A.T.I., vidisha
More information1 Determinants and the Solvability of Linear Systems
1 Determinants and the Solvability of Linear Systems In the last section we learned how to use Gaussian elimination to solve linear systems of n equations in n unknowns The section completely side-stepped
More informationBack to Elements - Tetrahedra vs. Hexahedra
Back to Elements - Tetrahedra vs. Hexahedra Erke Wang, Thomas Nelson, Rainer Rauch CAD-FEM GmbH, Munich, Germany Abstract This paper presents some analytical results and some test results for different
More informationIntroduction to Algebraic Geometry. Bézout s Theorem and Inflection Points
Introduction to Algebraic Geometry Bézout s Theorem and Inflection Points 1. The resultant. Let K be a field. Then the polynomial ring K[x] is a unique factorisation domain (UFD). Another example of a
More informationObject-oriented scientific computing
Object-oriented scientific computing Pras Pathmanathan Summer 2012 The finite element method Advantages of the FE method over the FD method Main advantages of FE over FD 1 Deal with Neumann boundary conditions
More informationNonlinear analysis and form-finding in GSA Training Course
Nonlinear analysis and form-finding in GSA Training Course Non-linear analysis and form-finding in GSA 1 of 47 Oasys Ltd Non-linear analysis and form-finding in GSA 2 of 47 Using the GSA GsRelax Solver
More informationCode_Aster. HSNV129 - Test of compression-thermal expansion for study of the coupling thermal-cracking
Titre : HSNV129 - Essai de compression-dilatation pour étu[...] Date : 1/1/212 Page : 1/8 HSNV129 - Test of compression-thermal expansion for study of the coupling thermal-cracking Summarized: One applies
More informationConservative Systems 6 1
6 Conservative Systems 6 1 Chapter 6: CONSERVATIVE SYSTEMS TABLE OF CONTENTS Page 6.1 Introduction..................... 6 3 6.2 Work and Work Functions................ 6 3 6.2.1 Mechanical Work Concept.............
More informationDATA ANALYSIS II. Matrix Algorithms
DATA ANALYSIS II Matrix Algorithms Similarity Matrix Given a dataset D = {x i }, i=1,..,n consisting of n points in R d, let A denote the n n symmetric similarity matrix between the points, given as where
More informationUniversity of Lille I PC first year list of exercises n 7. Review
University of Lille I PC first year list of exercises n 7 Review Exercise Solve the following systems in 4 different ways (by substitution, by the Gauss method, by inverting the matrix of coefficients
More informationBeam, Plate, and Shell Elements Part I
Topic 19 Beam, Plate, and Shell Elements Part I Contents: Brief review of major formulation approaches The degeneration of a three-dimensional continuum to beam and shell behavior Basic kinematic and static
More informationFrom Wave Mechanics to Matrix Mechanics: The Finite Element Method
Printed from file Rouen-2/Quantum/finite-elements.tex on November, 2 From Wave Mechanics to Matrix Mechanics: The Finite Element Method Robert Gilmore The Origin of Wave Mechanics Schrödinger originally
More informationInner Product Spaces
Math 571 Inner Product Spaces 1. Preliminaries An inner product space is a vector space V along with a function, called an inner product which associates each pair of vectors u, v with a scalar u, v, and
More informationKirchhoff Plates: BCs and Variational Forms
21 Kirchhoff Plates: BCs and Variational Forms 21 1 Chapter 21: KIRCHHOFF PLATES: BCS AND VARIATIONAL FORS TABLE OF CONTENTS Page 21.1. Introduction 21 3 21.2. Boundary Conditions for Kirchhoff Plate 21
More informationEngineering Analysis With ANSYS Software
Engineering Analysis With ANSYS Software This page intentionally left blank Engineering Analysis With ANSYS Software Y. Nakasone and S. Yoshimoto Department of Mechanical Engineering Tokyo University of
More information1. Fluids Mechanics and Fluid Properties. 1.1 Objectives of this section. 1.2 Fluids
1. Fluids Mechanics and Fluid Properties What is fluid mechanics? As its name suggests it is the branch of applied mechanics concerned with the statics and dynamics of fluids - both liquids and gases.
More informationBackground Knowledge
Chapter 3 Background Knowledge The biomechanical modeling of biological structures requires a comprehensive knowledge of the following major fields of study anatomy, continuum mechanics, numerical mathematics,
More informationState of Stress at Point
State of Stress at Point Einstein Notation The basic idea of Einstein notation is that a covector and a vector can form a scalar: This is typically written as an explicit sum: According to this convention,
More informationLinear Threshold Units
Linear Threshold Units w x hx (... w n x n w We assume that each feature x j and each weight w j is a real number (we will relax this later) We will study three different algorithms for learning linear
More informationNew approaches in Eurocode 3 efficient global structural design
New approaches in Eurocode 3 efficient global structural design Part 1: 3D model based analysis using general beam-column FEM Ferenc Papp* and József Szalai ** * Associate Professor, Department of Structural
More informationSolving Linear Systems of Equations. Gerald Recktenwald Portland State University Mechanical Engineering Department gerry@me.pdx.
Solving Linear Systems of Equations Gerald Recktenwald Portland State University Mechanical Engineering Department gerry@me.pdx.edu These slides are a supplement to the book Numerical Methods with Matlab:
More informationHøgskolen i Narvik Sivilingeniørutdanningen
Høgskolen i Narvik Sivilingeniørutdanningen Eksamen i Faget STE6237 ELEMENTMETODEN Klassen: 4.ID 4.IT Dato: 8.8.25 Tid: Kl. 9. 2. Tillatte hjelpemidler under eksamen: Kalkulator. Bok Numerical solution
More informationComputer Graphics. Geometric Modeling. Page 1. Copyright Gotsman, Elber, Barequet, Karni, Sheffer Computer Science - Technion. An Example.
An Example 2 3 4 Outline Objective: Develop methods and algorithms to mathematically model shape of real world objects Categories: Wire-Frame Representation Object is represented as as a set of points
More informationParabolic Equations. Chapter 5. Contents. 5.1.2 Well-Posed Initial-Boundary Value Problem. 5.1.3 Time Irreversibility of the Heat Equation
7 5.1 Definitions Properties Chapter 5 Parabolic Equations Note that we require the solution u(, t bounded in R n for all t. In particular we assume that the boundedness of the smooth function u at infinity
More information1 Completeness of a Set of Eigenfunctions. Lecturer: Naoki Saito Scribe: Alexander Sheynis/Allen Xue. May 3, 2007. 1.1 The Neumann Boundary Condition
MAT 280: Laplacian Eigenfunctions: Theory, Applications, and Computations Lecture 11: Laplacian Eigenvalue Problems for General Domains III. Completeness of a Set of Eigenfunctions and the Justification
More informationTopology optimization of load-carrying structures using three different types of finite elements SHOAIB AHMED
Topology optimization of load-carrying structures using three different types of finite elements SHOAIB AHMED Master of Science Thesis Stockholm, Sweden 2013 Topology optimization of load-carrying structures
More informationPaper Pulp Dewatering
Paper Pulp Dewatering Dr. Stefan Rief stefan.rief@itwm.fraunhofer.de Flow and Transport in Industrial Porous Media November 12-16, 2007 Utrecht University Overview Introduction and Motivation Derivation
More informationDerivative Free Optimization
Department of Mathematics Derivative Free Optimization M.J.D. Powell LiTH-MAT-R--2014/02--SE Department of Mathematics Linköping University S-581 83 Linköping, Sweden. Three lectures 1 on Derivative Free
More informationCOMPUTATIONAL ENGINEERING OF FINITE ELEMENT MODELLING FOR AUTOMOTIVE APPLICATION USING ABAQUS
International Journal of Advanced Research in Engineering and Technology (IJARET) Volume 7, Issue 2, March-April 2016, pp. 30 52, Article ID: IJARET_07_02_004 Available online at http://www.iaeme.com/ijaret/issues.asp?jtype=ijaret&vtype=7&itype=2
More informationMethod of Green s Functions
Method of Green s Functions 8.303 Linear Partial ifferential Equations Matthew J. Hancock Fall 006 We introduce another powerful method of solving PEs. First, we need to consider some preliminary definitions
More informationSolved with COMSOL Multiphysics 4.3
Vibrating String Introduction In the following example you compute the natural frequencies of a pre-tensioned string using the 2D Truss interface. This is an example of stress stiffening ; in fact the
More informationRANDOM INTERVAL HOMEOMORPHISMS. MICHA L MISIUREWICZ Indiana University Purdue University Indianapolis
RANDOM INTERVAL HOMEOMORPHISMS MICHA L MISIUREWICZ Indiana University Purdue University Indianapolis This is a joint work with Lluís Alsedà Motivation: A talk by Yulij Ilyashenko. Two interval maps, applied
More informationNumerical Methods for Differential Equations
Numerical Methods for Differential Equations Course objectives and preliminaries Gustaf Söderlind and Carmen Arévalo Numerical Analysis, Lund University Textbooks: A First Course in the Numerical Analysis
More information1 Finite difference example: 1D implicit heat equation
1 Finite difference example: 1D implicit heat equation 1.1 Boundary conditions Neumann and Dirichlet We solve the transient heat equation ρc p t = ( k ) (1) on the domain L/2 x L/2 subject to the following
More informationLargest Fixed-Aspect, Axis-Aligned Rectangle
Largest Fixed-Aspect, Axis-Aligned Rectangle David Eberly Geometric Tools, LLC http://www.geometrictools.com/ Copyright c 1998-2016. All Rights Reserved. Created: February 21, 2004 Last Modified: February
More informationVersion default Titre : SSNP161 Essais biaxiaux de Kupfer Date : 10/10/2012 Page : 1/8 Responsable : François HAMON Clé : V6.03.161 Révision : 9783
Titre : SSNP161 Essais biaxiaux de Kupfer Date : 10/10/2012 Page : 1/8 SSNP161 Biaxial tests of Summarized Kupfer: Kupfer [1] was interested to characterize the performances of the concrete under biaxial
More informationChapter 9 Partial Differential Equations
363 One must learn by doing the thing; though you think you know it, you have no certainty until you try. Sophocles (495-406)BCE Chapter 9 Partial Differential Equations A linear second order partial differential
More informationNumerical Methods for Solving Systems of Nonlinear Equations
Numerical Methods for Solving Systems of Nonlinear Equations by Courtney Remani A project submitted to the Department of Mathematical Sciences in conformity with the requirements for Math 4301 Honour s
More informationP4 Stress and Strain Dr. A.B. Zavatsky MT07 Lecture 3 Statically Indeterminate Structures
4 Stress and Strain Dr... Zavatsky MT07 ecture 3 Statically Indeterminate Structures Statically determinate structures. Statically indeterminate structures (equations of equilibrium, compatibility, and
More informationCHAPTER 3. INTRODUCTION TO MATRIX METHODS FOR STRUCTURAL ANALYSIS
1 CHAPTER 3. INTRODUCTION TO MATRIX METHODS FOR STRUCTURAL ANALYSIS Written by: Sophia Hassiotis, January, 2003 Last revision: February, 2015 Modern methods of structural analysis overcome some of the
More informationMulti-Block Gridding Technique for FLOW-3D Flow Science, Inc. July 2004
FSI-02-TN59-R2 Multi-Block Gridding Technique for FLOW-3D Flow Science, Inc. July 2004 1. Introduction A major new extension of the capabilities of FLOW-3D -- the multi-block grid model -- has been incorporated
More informationPart II Redundant Dictionaries and Pursuit Algorithms
Aisenstadt Chair Course CRM September 2009 Part II Redundant Dictionaries and Pursuit Algorithms Stéphane Mallat Centre de Mathématiques Appliquées Ecole Polytechnique Sparsity in Redundant Dictionaries
More informationEECS 556 Image Processing W 09. Interpolation. Interpolation techniques B splines
EECS 556 Image Processing W 09 Interpolation Interpolation techniques B splines What is image processing? Image processing is the application of 2D signal processing methods to images Image representation
More informationa 11 x 1 + a 12 x 2 + + a 1n x n = b 1 a 21 x 1 + a 22 x 2 + + a 2n x n = b 2.
Chapter 1 LINEAR EQUATIONS 1.1 Introduction to linear equations A linear equation in n unknowns x 1, x,, x n is an equation of the form a 1 x 1 + a x + + a n x n = b, where a 1, a,..., a n, b are given
More informationA QUICK GUIDE TO THE FORMULAS OF MULTIVARIABLE CALCULUS
A QUIK GUIDE TO THE FOMULAS OF MULTIVAIABLE ALULUS ontents 1. Analytic Geometry 2 1.1. Definition of a Vector 2 1.2. Scalar Product 2 1.3. Properties of the Scalar Product 2 1.4. Length and Unit Vectors
More informationLecture 3 Fluid Dynamics and Balance Equa6ons for Reac6ng Flows
Lecture 3 Fluid Dynamics and Balance Equa6ons for Reac6ng Flows 3.- 1 Basics: equations of continuum mechanics - balance equations for mass and momentum - balance equations for the energy and the chemical
More information3 Concepts of Stress Analysis
3 Concepts of Stress Analysis 3.1 Introduction Here the concepts of stress analysis will be stated in a finite element context. That means that the primary unknown will be the (generalized) displacements.
More informationStudy on Pressure Distribution and Load Capacity of a Journal Bearing Using Finite Element Method and Analytical Method
International Journal of Mechanical & Mechatronics Engineering IJMME-IJENS Vol:1 No:5 1 Study on Pressure Distribution and Load Capacity of a Journal Bearing Using Finite Element Method and Method D. M.
More informationNUMERICAL METHODS TOPICS FOR RESEARCH PAPERS
Faculty of Civil Engineering Belgrade Master Study COMPUTATIONAL ENGINEERING Fall semester 2004/2005 NUMERICAL METHODS TOPICS FOR RESEARCH PAPERS 1. NUMERICAL METHODS IN FINITE ELEMENT ANALYSIS - Matrices
More informationVector and Matrix Norms
Chapter 1 Vector and Matrix Norms 11 Vector Spaces Let F be a field (such as the real numbers, R, or complex numbers, C) with elements called scalars A Vector Space, V, over the field F is a non-empty
More information4 Sums of Random Variables
Sums of a Random Variables 47 4 Sums of Random Variables Many of the variables dealt with in physics can be expressed as a sum of other variables; often the components of the sum are statistically independent.
More information1 The basic equations of fluid dynamics
1 The basic equations of fluid dynamics The main task in fluid dynamics is to find the velocity field describing the flow in a given domain. To do this, one uses the basic equations of fluid flow, which
More informationMATH 304 Linear Algebra Lecture 20: Inner product spaces. Orthogonal sets.
MATH 304 Linear Algebra Lecture 20: Inner product spaces. Orthogonal sets. Norm The notion of norm generalizes the notion of length of a vector in R n. Definition. Let V be a vector space. A function α
More informationMesh Discretization Error and Criteria for Accuracy of Finite Element Solutions
Mesh Discretization Error and Criteria for Accuracy of Finite Element Solutions Chandresh Shah Cummins, Inc. Abstract Any finite element analysis performed by an engineer is subject to several types of
More informationNonlinear Analysis Using Femap with NX Nastran
Nonlinear Analysis Using Femap with NX Nastran Chip Fricke, Principal Applications Engineer, Agenda Nonlinear Analysis Using Femap with NX Nastran Who am I? Overview of Nonlinear Analysis Comparison of
More informationMulti-variable Calculus and Optimization
Multi-variable Calculus and Optimization Dudley Cooke Trinity College Dublin Dudley Cooke (Trinity College Dublin) Multi-variable Calculus and Optimization 1 / 51 EC2040 Topic 3 - Multi-variable Calculus
More informationDegrees of freedom in (forced) symmetric frameworks. Louis Theran (Aalto University / AScI, CS)
Degrees of freedom in (forced) symmetric frameworks Louis Theran (Aalto University / AScI, CS) Frameworks Graph G = (V,E); edge lengths l(ij); ambient dimension d Length eqns. pi - pj 2 = l(ij) 2 The p
More information3 Theory of small strain elastoplasticity 3.1 Analysis of stress and strain 3.1.1 Stress invariants Consider the Cauchy stress tensor σ. The characteristic equation of σ is σ 3 I 1 σ +I 2 σ I 3 δ = 0,
More information