Quadrilateral et Hexahedral Pseudo-conform Finite Elements

Similar documents
Lecture 36. Finite Element Methods

DCDM BUSINESS SCHOOL NUMERICAL METHODS (COS 233-8) Solutions to Assignment 3. x f(x)

Review of linear algebra. Nuno Vasconcelos UCSD

The Schur-Cohn Algorithm

CENTROID (AĞIRLIK MERKEZİ )

Announcements. Image Formation: Outline. The course. Image Formation and Cameras (cont.)

Chapter Runge-Kutta 2nd Order Method for Ordinary Differential Equations

Principle Component Analysis

DYNAMIC PROPAGATION OF A WEAK-DISCONTINUOUS INTERFACE CRACK IN FUNCTIONALLY GRADED LAYERS UNDER ANTI-PLANE SHEAR

Numbers Related to Bernoulli-Goss Numbers

Least squares. Václav Hlaváč. Czech Technical University in Prague

Lecture 4: Piecewise Cubic Interpolation

Continuous Random Variables

Definition of Tracking

ORDINARY DIFFERENTIAL EQUATIONS

Lecture Note 4: Numerical differentiation and integration. Xiaoqun Zhang Shanghai Jiao Tong University

Homework Problem Set 1 Solutions

Chapter 5 : Continuous Random Variables

UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS. M.Sc. in Economics MICROECONOMIC THEORY I. Problem Set II

Rank One Update And the Google Matrix by Al Bernstein Signal Science, LLC

approaches as n becomes larger and larger. Since e > 1, the graph of the natural exponential function is as below

The Finite Element Method: A Short Introduction

4. Eccentric axial loading, cross-section core

Partial Derivatives. Limits. For a single variable function f (x), the limit lim

Jens Siebel (University of Applied Sciences Kaiserslautern) An Interactive Introduction to Complex Numbers

Introduction to Numerical Integration Part II

Linear Regression & Least Squares!

Math 20C Multivariable Calculus Lecture 5 1. Lines and planes. Equations of lines (Vector, parametric, and symmetric eqs.). Equations of lines

( dg. ) 2 dt. + dt. dt j + dh. + dt. r(t) dt. Comparing this equation with the one listed above for the length of see that

Chapter Newton-Raphson Method of Solving a Nonlinear Equation

INSTITUTE OF AERONAUTICAL ENGINEERING Dundigal, Hyderabad

Notes on the Eigenfunction Method for solving differential equations

Math 426: Probability Final Exam Practice

On Pfaff s solution of the Pfaff problem

Massachusetts Institute of Technology Quantum Mechanics I (8.04) Spring 2005 Solutions to Problem Set 6

LINEAR ALGEBRA APPLIED

Multiple view geometry

Remember: Project Proposals are due April 11.

7.2 Volume. A cross section is the shape we get when cutting straight through an object.

International Journal of Pure and Applied Sciences and Technology

Math 497C Sep 17, Curves and Surfaces Fall 2004, PSU

Space Curves. Recall the parametric equations of a curve in xy-plane and compare them with parametric equations of a curve in space.

1 nonlinear.mcd Find solution root to nonlinear algebraic equation f(x)=0. Instructor: Nam Sun Wang

Proof that if Voting is Perfect in One Dimension, then the First. Eigenvector Extracted from the Double-Centered Transformed

Math 259 Winter Solutions to Homework #9

INTRODUCTION TO COMPLEX NUMBERS

Introduction to Group Theory Note 2 Theory of Representation

Problem Set 2 Solutions

Partially Observable Systems. 1 Partially Observable Markov Decision Process (POMDP) Formalism

Fourier series. Preliminary material on inner products. Suppose V is vector space over C and (, )

Kinematics Quantities. Linear Motion. Coordinate System. Kinematics Quantities. Velocity. Position. Don t Forget Units!

Chapter 2. Numerical Integration also called quadrature. 2.2 Trapezoidal Rule. 2.1 A basic principle Extending the Trapezoidal Rule DRAWINGS

Math 113 Exam 2 Practice

The Number of Rows which Equal Certain Row

6 Roots of Equations: Open Methods

x=0 x=0 Positive Negative Positions Positions x=0 Positive Negative Positions Positions

Caractérisation dans le plan de matériaux isolants par thermographie infrarouge et méthode convolutive

Problem Set 7: Monopoly and Game Theory

ragsdale (zdr82) HW2 ditmire (58335) 1

Stratified Extreme Ranked Set Sample With Application To Ratio Estimators

Matching with Multiple Applications: The Limiting Case

Anonymous Math 361: Homework 5. x i = 1 (1 u i )

THE COMBINED SHEPARD ABEL GONCHAROV UNIVARIATE OPERATOR

Math 32B Discussion Session Session 7 Notes August 28, 2018

Two Coefficients of the Dyson Product

90 S.S. Drgomr nd (t b)du(t) =u()(b ) u(t)dt: If we dd the bove two equltes, we get (.) u()(b ) u(t)dt = p(; t)du(t) where p(; t) := for ll ; t [; b]:

Competitive Experimentation and Private Information

Farey Fractions. Rickard Fernström. U.U.D.M. Project Report 2017:24. Department of Mathematics Uppsala University

Section 17.2 Line Integrals

CALIBRATION OF SMALL AREA ESTIMATES IN BUSINESS SURVEYS

( ) ( )()4 x 10-6 C) ( ) = 3.6 N ( ) = "0.9 N. ( )ˆ i ' ( ) 2 ( ) 2. q 1 = 4 µc q 2 = -4 µc q 3 = 4 µc. q 1 q 2 q 3

Chapter 2 Transformations and Expectations. , and define f

Mathematics. Area under Curve.

An Introduction to Support Vector Machines

SUMMER KNOWHOW STUDY AND LEARNING CENTRE

Lecture 3: Curves in Calculus. Table of contents

MAA 4212 Improper Integrals

1 Functions Defined in Terms of Integrals

Stanford University CS254: Computational Complexity Notes 7 Luca Trevisan January 29, Notes for Lecture 7

Numerical Solution of Fredholm Integral Equations of the Second Kind by using 2-Point Explicit Group Successive Over-Relaxation Iterative Method

We partition C into n small arcs by forming a partition of [a, b] by picking s i as follows: a = s 0 < s 1 < < s n = b.

RGMIA Research Report Collection, Vol. 1, No. 1, SOME OSTROWSKI TYPE INEQUALITIES FOR N-TIME DIFFERENTIA

Section 14.3 Arc Length and Curvature

Unit 5. Integration techniques

1 Linear Least Squares

Things to Memorize: A Partial List. January 27, 2017

Math Advanced Calculus II

1. Gauss-Jacobi quadrature and Legendre polynomials. p(t)w(t)dt, p {p(x 0 ),...p(x n )} p(t)w(t)dt = w k p(x k ),

Fundamental Theorem of Calculus

Model Fitting and Robust Regression Methods

Engineering Tensors. Friday November 16, h30 -Muddy Charles. A BEH430 review session by Thomas Gervais.

Orthogonal Polynomials

VECTORS AND TENSORS IV.1.1. INTRODUCTION

Chapter 2 - The Simple Linear Regression Model S =0. e i is a random error. S β2 β. This is a minimization problem. Solution is a calculus exercise.

14.4. Lengths of curves and surfaces of revolution. Introduction. Prerequisites. Learning Outcomes

Finite-system statistical mechanics for nucleons, hadrons and partons Scott Pratt, Michigan State University

MATH34032: Green s Functions, Integral Equations and the Calculus of Variations 1

LECTURE 3. Orthogonal Functions. n X. It should be noted, however, that the vectors f i need not be orthogonal nor need they have unit length for

Do the one-dimensional kinetic energy and momentum operators commute? If not, what operator does their commutator represent?

5.4, 6.1, 6.2 Handout. As we ve discussed, the integral is in some way the opposite of taking a derivative. The exact relationship

Transcription:

Qurlterl et Heerl seuo-conform Fnte Elements E. DUBACH R. LUCE J.M. THOMAS Lbortore e Mtémtques Applquées UMR 5 u Frnce GDR MoMs Métoes Numérques pour les Flues. rs écembre 6

Wt s te problem? Loss of conergence for te RT BDM BDFM wen we use qurlterl or eerl elements. { } { } L p A M q q q M L p q L q M RT H L Ω Ω Ω Ω Ω Ω u u u f soluton of fn ; ; : Stnrt moel u oes not conerge n H wen te mes s bse on qurlterl or eerl elements.

D 3D uu Ω >.996 pp Ω >.98933 uu Ω >.76 logerreur 3 5 6.5.5 3 3.5 logps.5 5 5.5 Loss of conergence on u Loss of conergence on u n u

Were oes te problem come from? ˆ : element of te trngulton : reference element F s blner J F etdf Q F s trlner J F etdf Q

ol trnsform: u DFˆ ûˆ p J F ˆ pˆˆ u.n ps ˆ û.nˆ ps ˆ ˆ u p ˆ û p ˆ û ˆ u ûˆ Mˆ u J D F ˆ π u C u Ω Ω u u Non lner reltons 3D π u Cu Ω Ω u π u C u Ω Ω u u π u C Ω Ω

Solutons - Increse te spce of scretston to control te non-lner prt of te trnsformton F. Arnol-Boff-Flk D D rllelogrm RT Qurlterl ABF Degrees of freeom: Degrees of freeom: 6 By usng te sme wy we obtn 3D rlleleppe RT Heeron Degrees of freeom: 6 Degrees of freeom: 36!!

Solutons - «Remes» te qurlterls or eerls Yu. uznetso n S. Repn J. Numer. Mt 5 Obously t s possblty - Bul pseuo-conform fnte elements wtout ng egrees of freeom We e cosen ts lst wy

Cs D Let us emne te Q conform ppromton on qurlterls. Wy? No loss of conergence wt te Q fnte element but te bckgroun s fferent of te fnte element on trngles Work on Tˆ s equlent to work on T pˆ T p ˆ T pˆ ˆ Q p Q p s not polynoml

Consequence: All te ntegrls must be clculte on ^ p p DF. pˆ ˆ DF pˆ. DF ˆ J F ˆ Gol: Construct new fnte element stsfyng: p s polynoml on Degrees of freeom re te sme On prllelogrm recoer te clsscl Q fnte element rce to py: Te egree of te polynomls must be ncrese. Te ppromton s pseuo-conform

Geometry n nottons : cone qurlterl R [ ]... eges : : ertces : of center 3 gen by te bss of 3 3 e e R e e

F : ffne prt off. ByF s eformton of te unt squre ˆ s trnsforme nto F cone qurlterl <

Construct on of new fnte element Σ We wnt Σ { w w } Coce of? Q We obtn non conformng ppromton tt oes not stsfy te ptc-test. In te error estmton we on t control te followng term: Soluton : fn u n [ u I u] σ [ u ] suc tt σ

We roposton: must e For ny cone qurlterl tere est polynoml ω suc tt for te coce: We e Vect ω w Σ s fnte element. wσ { w w }... Remrk : ω s not unque

ω Moreoer t s of nterest to obtn: epen contnously on te storson prmeter t te lmte te Lgrnge reference ω σ... te fnte element Te smplest coce s to cooseω ω... Σ ˆ Q fnte element on te unt squre n 3 Q ω cn be clculte eplctely ccorng to stsfyng : or numerclly Remrk: We cn compute te fnte element bss n 3 Q wtout clcultng ω Σˆ

...6.8...3..5.6.7.8.9...6.8...3..5.6.7.8.9 Mes n ceron Mes n léole wt 3 3 7 3 en en ω

Q conform seuo-conform meto

new fnte element Constructon of Σ Σ. We wnt σ wn w ect ψ Let us return to te ntl problem roposton: For ny cone qurlterl tere est polynoml ector ψ suc tt for te coce: We e..... s fnte element. Σ s s s σ σ σ n w wn w

At te lmte te fnte element Σ ˆ te RT reference fnte element on te unt squre Σ ˆ Te smplest coce s to cooseψ De Rm grm ψ rot Anoter coce s to coose BDM H y y ect y y y n ψ. nσ sψ. nσ H ψ BDM rot ω stsfyng :... Remrk: We cn compute te fnte element bss n BDM wtout clculte ψ

uu Ω >.9966 pp Ω >.9936 uu Ω >.993 logerreur 3 5 6.5.5 3 3.5 logps.5 5 5.5 Te conergence orers re goo

Concluson If te qurlterls re prllelogrms we e ˆ ˆ Σ Q Σ ˆ ˆ Σ Σ n te ppromtons re conform. If te qurlterls re not prllelogrms te ppromtons re not conform. Te use of Σ llows us to e te contnuty of p t te noes n only te contnuty of te men lues troug ec ege of te mes. Te use of ˆ ˆ Σ llows us to e te contnuty of te men lue of u.n n te contnuty of te frst momentum of u.n troug ec ege. Te mplementton s smple but te bss functons epen on of te spe of.

3D cse We pply te sme pproc wt te 3D cse. roblems wt te eerons Descrpton of eeron eformton of te unt cube lne fces n non-plne fces? Is t rel problem? rmetrston of te fces

3D cse epens on 6 prmeters f te fces re plne n 9 prmeters f te fces re not plne. σ ˆ ˆ non plne fce : M ˆ nˆ ˆ σ plne fce : Mˆ nˆ M ˆ nˆ s not polynoml

Construct on of new fnte element Σ We wnt Σ { w w 8} How to bult? cse of plne fces Let bev m V V Σ polynomlspce suc tt { } w w...8; w σ...6 s unsolnt onv wen ˆ

... cobn t ponts te te cofcteur mtr of epen only on te lues of te fce te noe of numbers of re serl... were...6 l l l ω ω σ Bulng of ntegrton formuls...6 ; s V l ω σ

ossble coces of polynoml spce V { } 3 Q z z y y z y yz yz z y z y V y z y z z y z y z y z y Q V

roposton: For ny qurlterl not too muc eforme compre to unt cube we e...6 s fnte element. Σ l ω σ Remrk: Te mn fference wen te fces re not plne concerns te ntegrton formuls: plne cse must be numerclly clculte n te non - re eplctly known n te plne cse ω ω

Interor fces re not plne.8.6...5...6.8 Non plne fces Destructure mes

lne fces Q conform Non-plne fces seuo-conform meto>

Wt s bout te ppromton n H Constructon of We wnt new fnte element w wn. σ 6 Σ Σ How to bult? Let bev m V Σ polynomlspce suc tt V 8 { } u un. σ...6; w su. nσ...6 s unsolnt onv wen ˆ

. cobn on te te cofcteur mtr of epen only on lues of...6 ;.. s ω σ ω σ n n Bulng of ntegrton formuls 6... ;.. ; s V ω σ σ n n ossble coce of polynoml spce BDM V yz y yz z z y y y z z y z y y z y z z y ect BDM

roposton: For ny qurlterl not too muc eforme compre to unt cube we e...6 ;.. s fnte element. Σ s ω σ σ n n roblem wt te ntegrton formul wen te fces re not plne.

seuo-conform meto plne fces

Conclusons D cse: Te numercl results re gree wt te teoretcl results. ossblty to generlse te results to FEM of ger egrees. 3D cse: Necessty to work on te geometry of te eerons. Clrfy te problem of plne fces n non-plne fces. Use te De Rm grm to connect te H cse to te H cse De Rm grm : H H curl rot H