STRUCTURAL SHAPE DESIGN SENSITIVITY ANALYSIS AND OPTIMIZATION USING MESHFREE METHOD

Size: px
Start display at page:

Download "STRUCTURAL SHAPE DESIGN SENSITIVITY ANALYSIS AND OPTIMIZATION USING MESHFREE METHOD"

Transcription

1 STRUTURAL SHAPE DESIGN SENSITIVITY ANALYSIS AND OPTIMIZATION USING MESHFREE METHOD Workshop o Meshfree Methods November 4, 000 K.K. hoi, N.H. Kim, ad K.Y. Yi eter for omputer-aided Desig ollege of Egieerig The Uiversity of Iowa

2 ONTENTS Itroductio Meshfree Method Reproducig Kerel Particle Method (RKPM) Noliear Structural Aalysis Fiite Deformatio Elastoplasticity Frictioal otact Aalysis Pealty Method Desig Sesitivity Aalysis Shape Desig Sesitivity Aalysis for Elastoplasticity (Large Deformatio) Die Shape Desig Sesitivity Aalysis for otact Problem Numerical Examples of Shape Desig Optimizatio Torque Arm Desig Problem (Liear Elastic) Oil Pa Gasket Desig Problem (otact) Deepdrawig Desig Problem (Sprigback)

3 INTRODUTION Meshfree Discretizatio Reproducig Kerel Particle Method Is Used Stable Solutio for Large Shape hagig Problem Accurate Result for Fiite Deformatio Problem Direct Trasformatio/Mixed Trasformatio/Boudary Sigular Kerel Methods for Essetial B.. Frictioal otact Aalysis otiuum-based otact Formulatio Pealty Regularizatio of Variatioal Iequality Regularized oulomb Frictio Model DSA of Frictioal otact Problem DSA Variatioal Iequality Is Approximated Usig the Same Pealty Method Die Shape hage Is osidered by Perturbig Rigid Surface Path Depedet Sesitivity Results for Frictioal Problem

4 INTRODUTION cot. Structural Aalysis of Elastoplasticity Fiite Deformatio Elastoplasticity Usig Multiplicative Decompositio of Deformatio Gradiet Retur Mappig Algorithm i Pricipal Stress Space Stress Is omputed Usig Hyper-Elasticity w.r.t. Stress-Free Itermediate ofiguratio Exact Liearizatio Is Required for Quadratic overgece of Aalysis ad Accuracy of DSA Structural Desig Sesitivity Aalysis (DSA) Material Derivative Approach Is Used for Shape DSA Updated Lagragia Formulatio Is Used for Elastoplasticity Shape Fuctio of RKPM Depeds o Shape Desig Direct Differetiatio Method Is Used to Solve Displacemet Sesitivity DSA Equatio Is Solved at Each overged ofiguratio without Iteratio Material Derivative of Itermediate ofiguratio Is Updated at Each Load Step Istead of Stress i ovetioal Method

5 REPRODUING KERNEL PARTILE METHOD Reproduced Displacemet Fuctio z R ( x) = ( x; y x) φ ( y x) z( y) dy a R z ( x) z( x) as a 0 Dirac Delta Measure φ ( y x) > 0 if y x < a a φ ( y x) = 0 otherwise a orrectio Fuctio ( xy ; x) = q( x) T H( y x) H ( ) T y x = [1,( y x),( y x),,( y x) ] q( x) T = [ q ( x), q ( x),, q ( x)] 0 1 -th Order ompleteess Requiremet (Reproducig oditio) R z ( x) = ( x; y x) φ ( y x) z( y) dy a ( 1) d zx ( ) = m0 ( x) z( x) + m ( x)! dx = 1 m ( ) 1 ( ) 0 1,..., 0 x = mk x = k =

6 RKPM cot. Reproducig oditio M( x) q( x ) = H (0) H(0) T = [1,0,...,0] M( x) m ( x) m ( x)... m ( x) 0 1 m1( x) m( x)... m+ 1( x) = m ( x) m ( x)... m ( x) + 1 xy x x y x T 1 ( ; ) = H(0) M( ) H( ) z x x y x y x z y dy R T 1 ( ) = H(0) M( ) H( ) φa ( ) ( ) NP R z ( x) = ( x; x x) φ ( x x) z x = Φ ( x) d I a I I I I I I= 1 I= 1 NP

7 RKPM cot. Shape Fuctio Φ I (x I ) Depeds o urret oordiate Whereas FEA Shape Fuctios Deped o oordiate of the Referece Geometry Does Not Satisfy Kroecker Delta Property: Φ I (x J ) δ IJ Lagrage Multiplier Method for Essetial B.. T Π= U λ ( z ζ) d D First-order variatio is T T Π= U λ zd λ ( z ζ) d D D Direct Trasformatio Method, Mixed Trasformatio Method, ad Sigular Kerel Methods Are Available.

8 DOMAIN DISRETIZATION Meshfree Discretizatio Meshfree Shape Fuctio

9 MESHFREE METHOD Advatages ostructio of Shape/Iterpolatio Fuctio i Global Level Mesh Idepedet Solutio Accuracy otrol Versatile hp-adaptivity A Remedy to Mesh Distortio i Shape Optimizatio Accurate Solutio to Large Deformatio Problem Disadvatages Difficulties i Imposig Essetial Boudary oditios Expesive omputatioal ost Larger Badwidth of Stiffess Matrix Tha FEM

10 SHAPE DESIGN SENSITIVITY ANALYSIS Perturbed Desig z τ τ τv z ż 0 mappig T x x ( x), x d z = zτ ( x + τv) dτ zτ ( x + τv) z( x) = lim τ τ 0 : τ T( x, τ ) = x + τv( x) + H. O. T. Iitial Desig V : Desig velocity vector, directio of desig perturbatio τ : Desig perturbatio parameter z : Displacemet vector ż : Material Derivative of displacemet

11 NONLINEAR STRUTURAL ANALYSIS Noliear Variatioal Equatio (Updated Lagragia Formulatio) a ( z, z) b ( z, z) = l ( z), z Z a + (, zz) = τ: εd b ( z, z) l T B T S (z) = z f d + z f d S Structural Eergy Form otact Variatioal Form Load Liear Form Liearizatio a * ( z k ; z = l k + 1, z) + b ( z) a * ( ( z z k k ; z k+ 1, z) b, z) ( z k, z), z Z a * ( z; z, z) = [ ε : c : ε( z) + τ: η( zz, )] d τ c = = m m + τ c ε a lg i j p i cij ˆ i i= 1 j= 1 i= 1

12 FRITIONAL ONTAT PROBLEM 1 x g t x c Impeetratio oditio Tagetial Slip Fuctio g t ( ξ ξ ) 1 e e c g c t x 0 t c t c c ξ g ( x x ( ξ )) e ( ξ ) 0, x, x T 1 c c c c c c otact osistecy oditio T ϕξ ( ) = ( x x ( ξ)) e ( ξ) = 0 c c c t c otact Pealty Fuctio 1 1 P = ω g d ωt gt d + otact Variatioal Form b ( zz, ) = ω gg d+ ω ggds t t t -µω g ω t g t Modified oulomb Frictio Model

13 DESIGN SENSITIVITY ANALYSIS V(X) F d dτ ( z) Udeformed ofiguratio (Desig Referece) F p d dτ ( F p ) F e urret ofiguratio Itermediate ofiguratio (Aalysis Referece) Updated Lagragia Formulatio Fiite Deformatio Elastoplasticity No Need to Update Velocity Fields Updatig Sesitivity Iformatio of Itermediate ofiguratio ad Plastic Variables

14 FINITE DEFORMATION DSA Material Derivative of Variatioal Equatio d d d dτ dτ dτ a ( z, ) b (, ) ( ), Z τ τ z τ + 0 z τ τ z τ= τ = l τ= 0 z τ τ z τ= 0 τ τ Desig Sesitivity Equatio + = * * a ( z; zz, ) b ( z; zz, ) l V( z) a V( zz, ) b V( zz, ) Remarks: The same taget operator is used as aalysis -- Need accurate computatio of taget operator Direct Differetiatio -- DSA eeds to be carried out at each coverged load step Update sesitivity iformatio: itermediate cofiguratio (aalysis referece), plastic iteral variables, ad frictioal effect Total form of sesitivity equatio No iteratio is required to solve the sesitivity equatio

15 FINITE DEFORMATION DSA cot. Fictitious load fic ( ε: ε ε: ε τ :ε ) a (, zz) = c: () z+ c: () z+ d V V P ( τ:η (, zz) τ:η (, zz) τ:ε divv) d εv ( z) = sym( 0z V) η ε η V P P V P T ( z z V) sym( z ) ( z, z) = sym 0 ( z) = sym( G) T ( z, z) = sym( z G) 0 V Updatig path-depedet terms ( ) τ 3 p p fic i i p d d i = dτ ( α ) + d ( e ) p τ m i= 1 α eˆ e d p G = F ( F ) F dτ τ ( α + ) = ( α ) + H + H γ ( γ) N + H γ ( N) d d d d dτ 1 dτ α 3 α dτ α dτ d p d p d ( e 1) ( e ) ( ) dτ + = + γ dτ 3 dτ p e 1 e 1 d d d dτ F+ 1 = dτ F+ 1 F+ 1+ F+ 1 dτ F+ 1 ( ) ( ) ( ) tr tr d e d p e p d e dτ F+ 1 = dτ f F+ 1 + f dτ F+ 1 3 p j = exp( γ N j ) j= 1 ( ) ( ) ( ) f m Icremetal Plastic Deformatio Gradiet 1 τ

16 ONTAT DSA Material Derivative of otact Variatioal Form d * τ ( z, ) ( ;, ) (, ) τ τ z τ = z z z + z z d b b b V b ( z, z) = b ( z, z) + b ( z, z) V N T Normal otact Fictitious Load Form for DSA ( ) ( ) T T T T b (, zz) = ω ( z z) ee ( V V) d ω αg c ( z z) ee ( V V) d N c c c t t c T ( ) ξ ω ( ) T T T t z zc ee t Vc, t zc, ξ eet V Vc ω g c ( ) d g c ( ) d T T T T c, ξ c, ξ c ω g c z e e V d+ ω κg ( z z ) e ( V ) d

17 ONTAT DSA cot. Tagetial Stick Fictitious Load Form for DSA b = * T( zz, ) bt( zvz ;, ) ( ) T 1 T 1 t t t z z et et Vc, ξ z c, ξ + ω g c ( ) ( + ) d ( g ) 1 1 T 1 T 1 1 t ( t t ( z z) et et ( V z Vc z c) + ω ν β + d ( ) T T 1 t β t t t z z et e Vc, ξ z c, ξ + ω g g + c c ( ) ( + ) d ω t 1 T t t 1 g t t c c ( z z) e e ( V + z ) d 1 ( β ) ( β ) T t c, ξ c, ξ T 1 T 1 1 t t t t zc, ξ e et V z Vc z c + ω g g c c ( + ) d T 1 T 1 t t t zc, ξ e e Vc, ξ z c, ξ T t κ{ ( ) ( ) } 1 T T ν gt z z et + g gt t c ( z z) et ( V ) d + ω g g g c c ( + ) d + ω

18 MESHFREE METHOD WITH LARGE SHAPE HANGING PROBLEM u u 1 u 8 u 6 u 7 u 4 u3 u N Symmetric Desig 5066 N Iitial Desig FEM with remodelig : 45 iteratios Optimum Desig Meshfree w/o remodelig : 0 iteratios Aalysis Result after Remeshig at Optimum Desig

19 GASKET SHAPE DESIGN Oil Pa Gasket to Reduce Leakage Mooey-Rivli Rubber Material Flexible-Rigid Body otact ad Self-otact oditios Sigificat Distortio i Self-otact Regios Oil u u 5 Oil Pa Block 4 u 4 u 3 u u u 3 u 1 u 1 u 9 u 6 u 7 u 8 l gap ( ) Egie Block d

20 DESIGN OPTIMIZATION Optimizatio Problem 1 Optimizatio History mi d st.. F 300kN σ 1700 kpa gap 1.0 mm 0.5 u 0.5 i l gap ( ) d Optimum Desig Pressure Distributio

21 DESIGN OPTIMIZATION OF 5 mm u u 3 Puch u 1 Blak 6 mm u 4 u 5 Die DEEPDRAWING u 6 Blak Holder E = 06.9 GPa ν = 0.9 σ y = 167 MPa H = 19 MPa µ f = Isotropic Hardeig Performace(Ψ) Ψ Ψ` τ RATIO(%) u 1 e p e p e p e p e p e p G u e p e p e p e p e p e p G G = N I = 1 gap I

22 DESIGN OPTIMIZATION OF DEEPDRAWING (ONT.) Optimizatio Problem mi gap s.t. 0. e p DOT : Sequetial Quadratic Programmig ost Fuctio History Iteratio Desig Parameter History u1 u u3 u4 u5 u Iteratio

23 DESIGN OPTIMIZATION OF DEEPDRAWING (ONT.) Plastic Strai (Iitial Desig) Plastic Strai (Optimum Desig)

24 SUMMARY Meshfree Method Is Effective i Shape Optimizatio Developed Accurate ad Efficiet Shape DSA Method for Fiite Deformatio Elastoplasticity Usig Multiplicative Decompositio of Deformatio Gradiet Die Shape Desig Sesitivity Formulatio Is Developed for the Frictioal otact Problem Deepdrawig Optimizatio Is Successfully arried out to Reduce the Sprigback Amout Very Accurate DSA Results Made Optimizatio Problem overged i a Small Number of Iteratios

DESIGN OPTIMIZATION USING MESHFREE METHOD

DESIGN OPTIMIZATION USING MESHFREE METHOD DESIGN OPTIMIZATION USING MESHFREE METHOD 2000 U.S.-Korea oferece o Sciece ad Techology, Etrepreeurship, ad Leadership Nam Ho Kim ad Kyug Kook hoi eter for omputer-aided Desig The Uiversity of Iowa ONTENTS

More information

Design Sensitivity Analysis and Optimization of Nonlinear Transient Dynamics

Design Sensitivity Analysis and Optimization of Nonlinear Transient Dynamics Desig Sesitivity Aalysis ad Otimizatio of Noliear Trasiet Dyamics 8th AIAA/USAF/NASA/ISSOMO Symosium o Multidisciliary Aalysis ad Otimizatio Nam Ho Kim ad Kyug Kook Choi Ceter for Comuter-Aided Desig The

More information

SHAPE SENSITIVITY ANALYSIS AND OPTIMIZATION FOR A CONTACT PROBLEM IN THE MANUFACTURING PROCESS DESIGN

SHAPE SENSITIVITY ANALYSIS AND OPTIMIZATION FOR A CONTACT PROBLEM IN THE MANUFACTURING PROCESS DESIGN SHAPE SENSITIVITY ANALYSIS AND OPTIMIZATION FOR A CONTACT PROBLEM IN THE MANUFACTURING PROCESS DESIGN 4 th World Congress of Structural and Multidisciplinary Optimization June 4-8, Dalian, China Nam H.

More information

Finite Element Analysis of Rubber Bumper Used in Air-springs

Finite Element Analysis of Rubber Bumper Used in Air-springs Available olie at www.sciecedirect.com Procedia Egieerig 48 (0 ) 388 395 MMaMS 0 Fiite Elemet Aalysis of Rubber Bumper Used i Air-sprigs amas Makovits a *, amas Szabó b a Departmet of Mechaical Egieerig,

More information

CHAPTER 8 SHAPE DESIGN SENSITIVITY ANALYSIS OF NONLINEAR STRUCTURAL SYSTEMS

CHAPTER 8 SHAPE DESIGN SENSITIVITY ANALYSIS OF NONLINEAR STRUCTURAL SYSTEMS CHAPTER 8 SHAPE DESIGN SENSITIVITY ANALYSIS OF NONLINEAR STRUCTURAL SYSTEMS Nam Ho Kim Deartmet of Mechaical ad Aerosace Egieerig Uiversity of Florida, P.O. Box 116250 Gaiesville, Florida 32611, USA E-mail:

More information

Elastic Plastic Behavior of Geomaterials: Modeling and Simulation Issues

Elastic Plastic Behavior of Geomaterials: Modeling and Simulation Issues Elastic Plastic Behavior of Geomaterials: Modelig ad Simulatio Issues Boris Zhaohui Yag (UA), Zhao Cheg (EarthMechaics Ic.), Mahdi Taiebat (UBC) Departmet of Civil ad Evirometal Egieerig Uiversity of Califoria,

More information

Numerical Simulation of Thermomechanical Problems in Applied Mechanics: Application to Solidification Problem

Numerical Simulation of Thermomechanical Problems in Applied Mechanics: Application to Solidification Problem Leoardo Joural of Scieces ISSN 1583-0233 Issue 9, July-December 2006 p. 25-32 Numerical Simulatio of Thermomechaical Problems i Applied Mechaics: Applicatio to Solidificatio Problem Vicet Obiajulu OGWUAGWU

More information

Goal. Adaptive Finite Element Methods for Non-Stationary Convection-Diffusion Problems. Outline. Differential Equation

Goal. Adaptive Finite Element Methods for Non-Stationary Convection-Diffusion Problems. Outline. Differential Equation Goal Adaptive Fiite Elemet Methods for No-Statioary Covectio-Diffusio Problems R. Verfürth Ruhr-Uiversität Bochum www.ruhr-ui-bochum.de/um1 Tübige / July 0th, 017 Preset space-time adaptive fiite elemet

More information

ADJOINT VARIABLE METHODS FOR DESIGN SENSITIVITY ANALYSIS WITH THE METHOD OF MOMENTS

ADJOINT VARIABLE METHODS FOR DESIGN SENSITIVITY ANALYSIS WITH THE METHOD OF MOMENTS ADJOINT VARIABLE METHODS FOR DESIGN SENSITIVITY ANALYSIS WITH THE METHOD OF MOMENTS N.K. Georgieva, S. Glavic, M.H. Bakr ad J.W. Badler, CRL223, 1280 Mai Street West, Hamilto, ON L8S 4K1, Caada e-mail:

More information

Projected Dynamical Systems and Applications

Projected Dynamical Systems and Applications Proected Dyamical Systems ad Applicatios Patrizia Daiele Uiversity of Cataia - Italy SIAM Coferece o Optimizatio Stockholm, May 15-19, 25 1 Proected Dyamical System (PDS) dx( t) dt R = Π F : R Π Π P :

More information

Introduction to Optimization Techniques. How to Solve Equations

Introduction to Optimization Techniques. How to Solve Equations Itroductio to Optimizatio Techiques How to Solve Equatios Iterative Methods of Optimizatio Iterative methods of optimizatio Solutio of the oliear equatios resultig form a optimizatio problem is usually

More information

Numerical Method for Blasius Equation on an infinite Interval

Numerical Method for Blasius Equation on an infinite Interval Numerical Method for Blasius Equatio o a ifiite Iterval Alexader I. Zadori Omsk departmet of Sobolev Mathematics Istitute of Siberia Brach of Russia Academy of Scieces, Russia zadori@iitam.omsk.et.ru 1

More information

Linear Classifiers III

Linear Classifiers III Uiversität Potsdam Istitut für Iformatik Lehrstuhl Maschielles Lere Liear Classifiers III Blaie Nelso, Tobias Scheffer Cotets Classificatio Problem Bayesia Classifier Decisio Liear Classifiers, MAP Models

More information

NUMERICAL METHOD FOR SINGULARLY PERTURBED DELAY PARABOLIC PARTIAL DIFFERENTIAL EQUATIONS

NUMERICAL METHOD FOR SINGULARLY PERTURBED DELAY PARABOLIC PARTIAL DIFFERENTIAL EQUATIONS THERMAL SCIENCE, Year 07, Vol., No. 4, pp. 595-599 595 NUMERICAL METHOD FOR SINGULARLY PERTURBED DELAY PARABOLIC PARTIAL DIFFERENTIAL EQUATIONS by Yula WANG *, Da TIAN, ad Zhiyua LI Departmet of Mathematics,

More information

HE ATOM & APPROXIMATION METHODS MORE GENERAL VARIATIONAL TREATMENT. Examples:

HE ATOM & APPROXIMATION METHODS MORE GENERAL VARIATIONAL TREATMENT. Examples: 5.6 4 Lecture #3-4 page HE ATOM & APPROXIMATION METHODS MORE GENERAL VARIATIONAL TREATMENT Do t restrict the wavefuctio to a sigle term! Could be a liear combiatio of several wavefuctios e.g. two terms:

More information

18.657: Mathematics of Machine Learning

18.657: Mathematics of Machine Learning 8.657: Mathematics of Machie Learig Lecturer: Philippe Rigollet Lecture 0 Scribe: Ade Forrow Oct. 3, 05 Recall the followig defiitios from last time: Defiitio: A fuctio K : X X R is called a positive symmetric

More information

PC5215 Numerical Recipes with Applications - Review Problems

PC5215 Numerical Recipes with Applications - Review Problems PC55 Numerical Recipes with Applicatios - Review Problems Give the IEEE 754 sigle precisio bit patter (biary or he format) of the followig umbers: 0 0 05 00 0 00 Note that it has 8 bits for the epoet,

More information

Numerical Methods for Ordinary Differential Equations

Numerical Methods for Ordinary Differential Equations Numerical Methods for Ordiary Differetial Equatios Braislav K. Nikolić Departmet of Physics ad Astroomy, Uiversity of Delaware, U.S.A. PHYS 460/660: Computatioal Methods of Physics http://www.physics.udel.edu/~bikolic/teachig/phys660/phys660.html

More information

DYNAMIC ANALYSIS OF BEAM-LIKE STRUCTURES SUBJECT TO MOVING LOADS

DYNAMIC ANALYSIS OF BEAM-LIKE STRUCTURES SUBJECT TO MOVING LOADS DYNAMIC ANALYSIS OF BEAM-LIKE STRUCTURES SUBJECT TO MOVING LOADS Ivaa Štimac 1, Ivica Kožar 1 M.Sc,Assistat, Ph.D. Professor 1, Faculty of Civil Egieerig, Uiverity of Rieka, Croatia INTRODUCTION The vehicle-iduced

More information

Natural neighbour Petrov-Galerkin Method for Shape Design Sensitivity Analysis

Natural neighbour Petrov-Galerkin Method for Shape Design Sensitivity Analysis Copyright c 008 Tech Sciece Press CMES, vol.6, o., pp.107-11, 008 Natural eighbour Petrov-Galerki Method for Shape Desig Sesitivity Aalysis Kai Wag 1, Shejie Zhou 1,, Zhifeg Nie 1 ad Shegli Kog 1 Abstract:

More information

Numerical Solution of the Two Point Boundary Value Problems By Using Wavelet Bases of Hermite Cubic Spline Wavelets

Numerical Solution of the Two Point Boundary Value Problems By Using Wavelet Bases of Hermite Cubic Spline Wavelets Australia Joural of Basic ad Applied Scieces, 5(): 98-5, ISSN 99-878 Numerical Solutio of the Two Poit Boudary Value Problems By Usig Wavelet Bases of Hermite Cubic Splie Wavelets Mehdi Yousefi, Hesam-Aldie

More information

Solution of Differential Equation from the Transform Technique

Solution of Differential Equation from the Transform Technique Iteratioal Joural of Computatioal Sciece ad Mathematics ISSN 0974-3189 Volume 3, Number 1 (2011), pp 121-125 Iteratioal Research Publicatio House http://wwwirphousecom Solutio of Differetial Equatio from

More information

10/2/ , 5.9, Jacob Hays Amit Pillay James DeFelice

10/2/ , 5.9, Jacob Hays Amit Pillay James DeFelice 0//008 Liear Discrimiat Fuctios Jacob Hays Amit Pillay James DeFelice 5.8, 5.9, 5. Miimum Squared Error Previous methods oly worked o liear separable cases, by lookig at misclassified samples to correct

More information

15.081J/6.251J Introduction to Mathematical Programming. Lecture 21: Primal Barrier Interior Point Algorithm

15.081J/6.251J Introduction to Mathematical Programming. Lecture 21: Primal Barrier Interior Point Algorithm 508J/65J Itroductio to Mathematical Programmig Lecture : Primal Barrier Iterior Poit Algorithm Outlie Barrier Methods Slide The Cetral Path 3 Approximatig the Cetral Path 4 The Primal Barrier Algorithm

More information

CS321. Numerical Analysis and Computing

CS321. Numerical Analysis and Computing CS Numerical Aalysis ad Computig Lecture Locatig Roots o Equatios Proessor Ju Zhag Departmet o Computer Sciece Uiversity o Ketucky Leigto KY 456-6 September 8 5 What is the Root May physical system ca

More information

Nonlinear Vibrations of Aerospace Structures

Nonlinear Vibrations of Aerospace Structures Noliear Vibratios of Aerospace Structures Uiversity of Liège, Belgium L Itroductio Course objectives Review of liear theory Istructors: G. Kersche, J.P. Noel, T. Detroux Cotact details: Space Structures

More information

An adapted coarse space for Balancing domain decomposition method to solve nonlinear elastodynamic problems

An adapted coarse space for Balancing domain decomposition method to solve nonlinear elastodynamic problems A adapted coarse space for Balacig domai decompositio method to solve oliear elastodyamic problems Mikaël Barboteu Uiversity of Perpiga, 52 aveue Paul-Alduy, 66860 Perpiga, Frace barboteu@uiv-perp.fr This

More information

Journal of Computational Physics 149, (1999) Article ID jcph , available online at

Journal of Computational Physics 149, (1999) Article ID jcph , available online at Joural of Computatioal Physics 149, 418 422 (1999) Article ID jcph.1998.6131, available olie at http://www.idealibrary.com o NOTE Defiig Wave Amplitude i Characteristic Boudary Coditios Key Words: Euler

More information

Analysis of composites with multiple rigid-line reinforcements by the BEM

Analysis of composites with multiple rigid-line reinforcements by the BEM Aalysis of composites with multiple rigid-lie reiforcemets by the BEM Piotr Fedeliski* Departmet of Stregth of Materials ad Computatioal Mechaics, Silesia Uiversity of Techology ul. Koarskiego 18A, 44-100

More information

A new formulation of internal forces for non-linear hypoelastic constitutive models verifying conservation laws

A new formulation of internal forces for non-linear hypoelastic constitutive models verifying conservation laws A ew formulatio of iteral forces for o-liear hypoelastic costitutive models verifyig coservatio laws Ludovic NOELS 1, Lauret STAINIER 1, Jea-Philippe PONTHOT 1 ad Jérôme BONINI. 1 LTAS-Milieux Cotius et

More information

A Primal-Dual Interior-Point Filter Method for Nonlinear Semidefinite Programming

A Primal-Dual Interior-Point Filter Method for Nonlinear Semidefinite Programming The 7th Iteratioal Symposium o Operatios Research ad Its Applicatios (ISORA 8) Lijiag, Chia, October 31 Novemver 3, 28 Copyright 28 ORSC & APORC, pp. 112 118 A Primal-Dual Iterior-Poit Filter Method for

More information

Lecture 2: Finite Difference Methods in Heat Transfer

Lecture 2: Finite Difference Methods in Heat Transfer Lecture 2: Fiite Differece Methods i Heat Trasfer V.Vuorie Aalto Uiversity School of Egieerig Heat ad Mass Trasfer Course, Autum 2016 November 1 st 2017, Otaiemi ville.vuorie@aalto.fi Overview Part 1 (

More information

Boosting. Professor Ameet Talwalkar. Professor Ameet Talwalkar CS260 Machine Learning Algorithms March 1, / 32

Boosting. Professor Ameet Talwalkar. Professor Ameet Talwalkar CS260 Machine Learning Algorithms March 1, / 32 Boostig Professor Ameet Talwalkar Professor Ameet Talwalkar CS260 Machie Learig Algorithms March 1, 2017 1 / 32 Outlie 1 Admiistratio 2 Review of last lecture 3 Boostig Professor Ameet Talwalkar CS260

More information

Chapter 9: Numerical Differentiation

Chapter 9: Numerical Differentiation 178 Chapter 9: Numerical Differetiatio Numerical Differetiatio Formulatio of equatios for physical problems ofte ivolve derivatives (rate-of-chage quatities, such as velocity ad acceleratio). Numerical

More information

ANALYSIS OF STEADY WEAR PROCESSES FOR PERIODIC SLIDING

ANALYSIS OF STEADY WEAR PROCESSES FOR PERIODIC SLIDING Joural of Computatioal ad Applied Mechaics, Vol. 1., No. 2., (215), pp. 231 268 ANALYSIS OF STEADY WEAR PROCESSES FOR PERIODIC SLIDING Istvá Páczelt Istitute of Applied Mechaics, Uiversity of Miskolc H-3515

More information

CS537. Numerical Analysis and Computing

CS537. Numerical Analysis and Computing CS57 Numerical Aalysis ad Computig Lecture Locatig Roots o Equatios Proessor Ju Zhag Departmet o Computer Sciece Uiversity o Ketucky Leigto KY 456-6 Jauary 9 9 What is the Root May physical system ca be

More information

THE SOLUTION OF NONLINEAR EQUATIONS f( x ) = 0.

THE SOLUTION OF NONLINEAR EQUATIONS f( x ) = 0. THE SOLUTION OF NONLINEAR EQUATIONS f( ) = 0. Noliear Equatio Solvers Bracketig. Graphical. Aalytical Ope Methods Bisectio False Positio (Regula-Falsi) Fied poit iteratio Newto Raphso Secat The root of

More information

State Space Representation

State Space Representation Optimal Cotrol, Guidace ad Estimatio Lecture 2 Overview of SS Approach ad Matrix heory Prof. Radhakat Padhi Dept. of Aerospace Egieerig Idia Istitute of Sciece - Bagalore State Space Represetatio Prof.

More information

Lecture #18

Lecture #18 18-1 Variatioal Method (See CTDL 1148-1155, [Variatioal Method] 252-263, 295-307[Desity Matrices]) Last time: Quasi-Degeeracy Diagoalize a part of ifiite H * sub-matrix : H (0) + H (1) * correctios for

More information

A) is empty. B) is a finite set. C) can be a countably infinite set. D) can be an uncountable set.

A) is empty. B) is a finite set. C) can be a countably infinite set. D) can be an uncountable set. M.A./M.Sc. (Mathematics) Etrace Examiatio 016-17 Max Time: hours Max Marks: 150 Istructios: There are 50 questios. Every questio has four choices of which exactly oe is correct. For correct aswer, 3 marks

More information

Machine Learning Brett Bernstein

Machine Learning Brett Bernstein Machie Learig Brett Berstei Week 2 Lecture: Cocept Check Exercises Starred problems are optioal. Excess Risk Decompositio 1. Let X = Y = {1, 2,..., 10}, A = {1,..., 10, 11} ad suppose the data distributio

More information

Study on Coal Consumption Curve Fitting of the Thermal Power Based on Genetic Algorithm

Study on Coal Consumption Curve Fitting of the Thermal Power Based on Genetic Algorithm Joural of ad Eergy Egieerig, 05, 3, 43-437 Published Olie April 05 i SciRes. http://www.scirp.org/joural/jpee http://dx.doi.org/0.436/jpee.05.34058 Study o Coal Cosumptio Curve Fittig of the Thermal Based

More information

The Phi Power Series

The Phi Power Series The Phi Power Series I did this work i about 0 years while poderig the relatioship betwee the golde mea ad the Madelbrot set. I have fially decided to make it available from my blog at http://semresearch.wordpress.com/.

More information

10-701/ Machine Learning Mid-term Exam Solution

10-701/ Machine Learning Mid-term Exam Solution 0-70/5-78 Machie Learig Mid-term Exam Solutio Your Name: Your Adrew ID: True or False (Give oe setece explaatio) (20%). (F) For a cotiuous radom variable x ad its probability distributio fuctio p(x), it

More information

REGRESSION (Physics 1210 Notes, Partial Modified Appendix A)

REGRESSION (Physics 1210 Notes, Partial Modified Appendix A) REGRESSION (Physics 0 Notes, Partial Modified Appedix A) HOW TO PERFORM A LINEAR REGRESSION Cosider the followig data poits ad their graph (Table I ad Figure ): X Y 0 3 5 3 7 4 9 5 Table : Example Data

More information

DIGITAL FILTER ORDER REDUCTION

DIGITAL FILTER ORDER REDUCTION DIGITAL FILTER RDER REDUTI VAHID RAISSI DEHKRDI, McGILL UIVERSITY, AADA, vahid@cim.mcgill.ca AMIR G. AGHDAM, RDIA UIVERSITY, AADA, aghdam@ece.cocordia.ca ABSTRAT I this paper, a method is proposed to reduce

More information

2C09 Design for seismic and climate changes

2C09 Design for seismic and climate changes 2C09 Desig for seismic ad climate chages Lecture 02: Dyamic respose of sigle-degree-of-freedom systems I Daiel Grecea, Politehica Uiversity of Timisoara 10/03/2014 Europea Erasmus Mudus Master Course Sustaiable

More information

MATHEMATICAL MODELLING OF ARCH FORMATION IN GRANULAR MATERIALS

MATHEMATICAL MODELLING OF ARCH FORMATION IN GRANULAR MATERIALS 6 th INTERNATIONAL MULTIDISCIPLINARY CONFERENCE MATHEMATICAL MODELLING OF ARCH FORMATION IN GRANULAR MATERIALS Istva eppler SZIE Faculty of Mechaics, H-2103 Gödöllő Páter. 1., Hugary Abstract: The mathematical

More information

The Numerical Solution of Singular Fredholm Integral Equations of the Second Kind

The Numerical Solution of Singular Fredholm Integral Equations of the Second Kind WDS' Proceedigs of Cotributed Papers, Part I, 57 64, 2. ISBN 978-8-7378-39-2 MATFYZPRESS The Numerical Solutio of Sigular Fredholm Itegral Equatios of the Secod Kid J. Rak Charles Uiversity, Faculty of

More information

CALCULATION OF STIFFNESS AND MASS ORTHOGONAL VECTORS

CALCULATION OF STIFFNESS AND MASS ORTHOGONAL VECTORS 14. CALCULATION OF STIFFNESS AND MASS ORTHOGONAL VECTORS LDR Vectors are Always More Accurate tha Usig the Exact Eigevectors i a Mode Superpositio Aalysis 14.1 INTRODUCTION The major reaso to calculate

More information

2 The LCP problem and preliminary discussion

2 The LCP problem and preliminary discussion Iteratioal Mathematical Forum, Vol. 6, 011, o. 6, 191-196 Polyomial Covergece of a Predictor-Corrector Iterior-Poit Algorithm for LCP Feixiag Che College of Mathematics ad Computer Sciece, Chogqig Three

More information

Chapter 7 Isoperimetric problem

Chapter 7 Isoperimetric problem Chapter 7 Isoperimetric problem Recall that the isoperimetric problem (see the itroductio its coectio with ido s proble) is oe of the most classical problem of a shape optimizatio. It ca be formulated

More information

NONLOCAL THEORY OF ERINGEN

NONLOCAL THEORY OF ERINGEN NONLOCAL THEORY OF ERINGEN Accordig to Erige (197, 1983, ), the stress field at a poit x i a elastic cotiuum ot oly depeds o the strai field at the poit (hyperelastic case) but also o strais at all other

More information

Inversion of Earthquake Rupture Process:Theory and Applications

Inversion of Earthquake Rupture Process:Theory and Applications Iversio of Earthquake Rupture Process:Theory ad Applicatios Yu-tai CHEN 12 * Yog ZHANG 12 Li-sheg XU 2 1School of the Earth ad Space Scieces, Pekig Uiversity, Beijig 1871 2Istitute of Geophysics, Chia

More information

1 Duality revisited. AM 221: Advanced Optimization Spring 2016

1 Duality revisited. AM 221: Advanced Optimization Spring 2016 AM 22: Advaced Optimizatio Sprig 206 Prof. Yaro Siger Sectio 7 Wedesday, Mar. 9th Duality revisited I this sectio, we will give a slightly differet perspective o duality. optimizatio program: f(x) x R

More information

Boundary Element Method (BEM)

Boundary Element Method (BEM) Boudary Elemet Method BEM Zora Ilievski Wedesday 8 th Jue 006 HG 6.96 TU/e Talk Overview The idea of BEM ad its advatages The D potetial problem Numerical implemetatio Idea of BEM 3 Idea of BEM 4 Advatages

More information

Some New Iterative Methods for Solving Nonlinear Equations

Some New Iterative Methods for Solving Nonlinear Equations World Applied Scieces Joural 0 (6): 870-874, 01 ISSN 1818-495 IDOSI Publicatios, 01 DOI: 10.589/idosi.wasj.01.0.06.830 Some New Iterative Methods for Solvig Noliear Equatios Muhammad Aslam Noor, Khalida

More information

A RECURSIVE CALCULATION OF THE CONSISTENT TANGENT OPERATOR IN ELASTO-PLASTICITY

A RECURSIVE CALCULATION OF THE CONSISTENT TANGENT OPERATOR IN ELASTO-PLASTICITY Recursive calculatio of cosistet taget operator i elasto-plasticity XIII Iteratioal Coferece o Computatioal Plasticity. Fudametals ad Applicatios COMPLAS XIII E. Oñate, D.R.J. Owe, D. Peric ad M. Chiumeti

More information

Nonlinear regression

Nonlinear regression oliear regressio How to aalyse data? How to aalyse data? Plot! How to aalyse data? Plot! Huma brai is oe the most powerfull computatioall tools Works differetly tha a computer What if data have o liear

More information

Markov Decision Processes

Markov Decision Processes Markov Decisio Processes Defiitios; Statioary policies; Value improvemet algorithm, Policy improvemet algorithm, ad liear programmig for discouted cost ad average cost criteria. Markov Decisio Processes

More information

Modeling of Finite Gradient Elasticity Using Optimal Transportation Method

Modeling of Finite Gradient Elasticity Using Optimal Transportation Method 9 th Iteratioal Cogress of Croatia Society of Mechaics 18-22 September 2018 Split, Croatia Modelig of Fiite Gradiet Elasticity Usig Optimal Trasportatio Method Boris JALUŠIĆ *, Christia WEIßENFELS +, Jurica

More information

CO-LOCATED DIFFUSE APPROXIMATION METHOD FOR TWO DIMENSIONAL INCOMPRESSIBLE CHANNEL FLOWS

CO-LOCATED DIFFUSE APPROXIMATION METHOD FOR TWO DIMENSIONAL INCOMPRESSIBLE CHANNEL FLOWS CO-LOCATED DIFFUSE APPROXIMATION METHOD FOR TWO DIMENSIONAL INCOMPRESSIBLE CHANNEL FLOWS C.PRAX ad H.SADAT Laboratoire d'etudes Thermiques,URA CNRS 403 40, Aveue du Recteur Pieau 86022 Poitiers Cedex,

More information

TOTAL INCREMENTAL ITERATIVE FORCE RECOVERY METHOD AND THE APPLICATION IN PLASTIC HINGE ANALYSIS OF STEEL FRAMES

TOTAL INCREMENTAL ITERATIVE FORCE RECOVERY METHOD AND THE APPLICATION IN PLASTIC HINGE ANALYSIS OF STEEL FRAMES Advaced Steel Costructio Vol. 6, No. 1, pp. 567-577 (2010) 567 TOTAL INCREMENTAL ITERATIVE FORCE RECOVERY METHOD AND THE APPLICATION IN PLASTIC HINGE ANALYSIS OF STEEL FRAMES Fawu Wag 1,* ad Yaopeg Liu

More information

Taylor expansion: Show that the TE of f(x)= sin(x) around. sin(x) = x - + 3! 5! L 7 & 8: MHD/ZAH

Taylor expansion: Show that the TE of f(x)= sin(x) around. sin(x) = x - + 3! 5! L 7 & 8: MHD/ZAH Taylor epasio: Let ƒ() be a ifiitely differetiable real fuctio. A ay poit i the eighbourhood of 0, the fuctio ƒ() ca be represeted by a power series of the followig form: X 0 f(a) f() f() ( ) f( ) ( )

More information

Electricity consumption forecasting method based on MPSO-BP neural network model Youshan Zhang 1, 2,a, Liangdong Guo2, b,qi Li 3, c and Junhui Li2, d

Electricity consumption forecasting method based on MPSO-BP neural network model Youshan Zhang 1, 2,a, Liangdong Guo2, b,qi Li 3, c and Junhui Li2, d 4th Iteratioal Coferece o Electrical & Electroics Egieerig ad Computer Sciece (ICEEECS 2016) Electricity cosumptio forecastig method based o eural etwork model Yousha Zhag 1, 2,a, Liagdog Guo2, b,qi Li

More information

Linear Support Vector Machines

Linear Support Vector Machines Liear Support Vector Machies David S. Roseberg The Support Vector Machie For a liear support vector machie (SVM), we use the hypothesis space of affie fuctios F = { f(x) = w T x + b w R d, b R } ad evaluate

More information

Failure Theories Des Mach Elem Mech. Eng. Department Chulalongkorn University

Failure Theories Des Mach Elem Mech. Eng. Department Chulalongkorn University Failure Theories Review stress trasformatio Failure theories for ductile materials Maimum-Shear-Stress Theor Distortio-Eerg Theor Coulomb-Mohr Theor Failure theories for brittle materials Maimum-Normal-Stress

More information

Appendix K. The three-point correlation function (bispectrum) of density peaks

Appendix K. The three-point correlation function (bispectrum) of density peaks Appedix K The three-poit correlatio fuctio (bispectrum) of desity peaks Cosider the smoothed desity field, ρ (x) ρ [ δ (x)], with a geeral smoothig kerel W (x) δ (x) d yw (x y)δ(y). (K.) We defie the peaks

More information

Linear Algebra Issues in Wireless Communications

Linear Algebra Issues in Wireless Communications Rome-Moscow school of Matrix Methods ad Applied Liear Algebra August 0 September 18, 016 Liear Algebra Issues i Wireless Commuicatios Russia Research Ceter [vladimir.lyashev@huawei.com] About me ead of

More information

Data Assimilation. Alan O Neill University of Reading, UK

Data Assimilation. Alan O Neill University of Reading, UK Data Assimilatio Ala O Neill Uiversity of Readig, UK he Kalma Filter Kalma Filter (expesive Use model equatios to propagate B forward i time. B B(t Aalysis step as i OI Evolutio of Covariace Matrices (

More information

Analysis of deep drawing process to predict the forming severity considering inverse finite element and extended strain-based forming limit diagram

Analysis of deep drawing process to predict the forming severity considering inverse finite element and extended strain-based forming limit diagram Aalysis of deep drawig process to predict the formig severity cosiderig iverse fiite elemet ad exteded strai-based formig limit diagram M. Bosta Shiri a, R. Hashemi b ad A. Assempour c,* a School of biomedical

More information

Boundary layer problem on conveyor belt. Gabriella Bognár University of Miskolc 3515 Miskolc-Egyetemváros, Hungary

Boundary layer problem on conveyor belt. Gabriella Bognár University of Miskolc 3515 Miskolc-Egyetemváros, Hungary Boudary layer problem o coveyor belt Gabriella Bogár Uiversity of Miskolc 355 Miskolc-Egyetemváros, Hugary e-mail: matvbg@ui-miskolc.hu Abstract: A techologically importat source of the boudary layer pheomeo

More information

A collocation method for singular integral equations with cosecant kernel via Semi-trigonometric interpolation

A collocation method for singular integral equations with cosecant kernel via Semi-trigonometric interpolation Iteratioal Joural of Mathematics Research. ISSN 0976-5840 Volume 9 Number 1 (017) pp. 45-51 Iteratioal Research Publicatio House http://www.irphouse.com A collocatio method for sigular itegral equatios

More information

Supplementary Material for Fast Stochastic AUC Maximization with O(1/n)-Convergence Rate

Supplementary Material for Fast Stochastic AUC Maximization with O(1/n)-Convergence Rate Supplemetary Material for Fast Stochastic AUC Maximizatio with O/-Covergece Rate Migrui Liu Xiaoxua Zhag Zaiyi Che Xiaoyu Wag 3 iabao Yag echical Lemmas ized versio of Hoeffdig s iequality, ote that We

More information

An Analysis of a Certain Linear First Order. Partial Differential Equation + f ( x, by Means of Topology

An Analysis of a Certain Linear First Order. Partial Differential Equation + f ( x, by Means of Topology Iteratioal Mathematical Forum 2 2007 o. 66 3241-3267 A Aalysis of a Certai Liear First Order Partial Differetial Equatio + f ( x y) = 0 z x by Meas of Topology z y T. Oepomo Sciece Egieerig ad Mathematics

More information

The Chan-Vese Algorithm

The Chan-Vese Algorithm The Cha-Vese Algorithm Proect Report Rami Cohe, rc@tx.techio.ac.il Itroductio to Medical Imagig, Sprig 010 Techio, Israel Istitute of Techology This report is accompaied by a MATLAB package that ca be

More information

METHOD OF FUNDAMENTAL SOLUTIONS FOR HELMHOLTZ EIGENVALUE PROBLEMS IN ELLIPTICAL DOMAINS

METHOD OF FUNDAMENTAL SOLUTIONS FOR HELMHOLTZ EIGENVALUE PROBLEMS IN ELLIPTICAL DOMAINS Please cite this article as: Staisław Kula, Method of fudametal solutios for Helmholtz eigevalue problems i elliptical domais, Scietific Research of the Istitute of Mathematics ad Computer Sciece, 009,

More information

Outline. Linear regression. Regularization functions. Polynomial curve fitting. Stochastic gradient descent for regression. MLE for regression

Outline. Linear regression. Regularization functions. Polynomial curve fitting. Stochastic gradient descent for regression. MLE for regression REGRESSION 1 Outlie Liear regressio Regularizatio fuctios Polyomial curve fittig Stochastic gradiet descet for regressio MLE for regressio Step-wise forward regressio Regressio methods Statistical techiques

More information

Chapter 4 : Laplace Transform

Chapter 4 : Laplace Transform 4. Itroductio Laplace trasform is a alterative to solve the differetial equatio by the complex frequecy domai ( s = σ + jω), istead of the usual time domai. The DE ca be easily trasformed ito a algebraic

More information

Analysis of Dual Boundary Element in Shape Optimization

Analysis of Dual Boundary Element in Shape Optimization IOSR Joural of Mechaical ad Civil Egieerig (IOSR-JMCE) e-issn: 78-1684,p-ISSN: 30-334X, Volume 13, Issue 3 Ver. IV (May- Ju. 016), PP 17-141 www.iosrjourals.org Aalysis of Dual Boudary Elemet i Shape Optimizatio

More information

SVM for Statisticians

SVM for Statisticians SVM for Statisticias Youyi Fog Fred Hutchiso Cacer Research Istitute November 13, 2011 1 / 21 Primal Problem ad Pealized Loss Fuctio Miimize J over b, β ad ξ uder some costraits J = 1 2 β 2 + C ξ i (1)

More information

TESTING FOR THE BUFFERED AUTOREGRESSIVE PROCESSES (SUPPLEMENTARY MATERIAL)

TESTING FOR THE BUFFERED AUTOREGRESSIVE PROCESSES (SUPPLEMENTARY MATERIAL) TESTING FOR THE BUFFERED AUTOREGRESSIVE PROCESSES SUPPLEMENTARY MATERIAL) By Ke Zhu, Philip L.H. Yu ad Wai Keug Li Chiese Academy of Scieces ad Uiversity of Hog Kog APPENDIX: PROOFS I this appedix, we

More information

Mathematical Modeling of Optimum 3 Step Stress Accelerated Life Testing for Generalized Pareto Distribution

Mathematical Modeling of Optimum 3 Step Stress Accelerated Life Testing for Generalized Pareto Distribution America Joural of Theoretical ad Applied Statistics 05; 4(: 6-69 Published olie May 8, 05 (http://www.sciecepublishiggroup.com/j/ajtas doi: 0.648/j.ajtas.05040. ISSN: 6-8999 (Prit; ISSN: 6-9006 (Olie Mathematical

More information

finite element method(s-fem)

finite element method(s-fem) APCOM & ISCM 11-14 th December, 013, Sigapore Simulatio of passive myocardium of rabbit vetricles, usig selective smoothed fiite elemet method(s-fem) C. Jiag 1, Zhi-Qia Zhag, *X. Ha 1, G.R. Liu 3 1 State

More information

Recursive Algorithms. Recurrences. Recursive Algorithms Analysis

Recursive Algorithms. Recurrences. Recursive Algorithms Analysis Recursive Algorithms Recurreces Computer Sciece & Egieerig 35: Discrete Mathematics Christopher M Bourke cbourke@cseuledu A recursive algorithm is oe i which objects are defied i terms of other objects

More information

NONLINEAR CONTINUUM FORMULATIONS CONTENTS

NONLINEAR CONTINUUM FORMULATIONS CONTENTS NONLINEAR CONTINUUM FORMULATIONS CONTENTS Introduction to nonlinear continuum mechanics Descriptions of motion Measures of stresses and strains Updated and Total Lagrangian formulations Continuum shell

More information

A numerical Technique Finite Volume Method for Solving Diffusion 2D Problem

A numerical Technique Finite Volume Method for Solving Diffusion 2D Problem The Iteratioal Joural Of Egieerig d Sciece (IJES) Volume 4 Issue 10 Pages PP -35-41 2015 ISSN (e): 2319 1813 ISSN (p): 2319 1805 umerical Techique Fiite Volume Method for Solvig Diffusio 2D Problem 1 Mohammed

More information

Fluids Lecture 2 Notes

Fluids Lecture 2 Notes Fluids Leture Notes. Airfoil orte Sheet Models. Thi-Airfoil Aalysis Problem Readig: Aderso.,.7 Airfoil orte Sheet Models Surfae orte Sheet Model A aurate meas of represetig the flow about a airfoil i a

More information

Discrete Orthogonal Moment Features Using Chebyshev Polynomials

Discrete Orthogonal Moment Features Using Chebyshev Polynomials Discrete Orthogoal Momet Features Usig Chebyshev Polyomials R. Mukuda, 1 S.H.Og ad P.A. Lee 3 1 Faculty of Iformatio Sciece ad Techology, Multimedia Uiversity 75450 Malacca, Malaysia. Istitute of Mathematical

More information

Failure analysis of single-bolted joint for lightweight composite laminates and metal plate

Failure analysis of single-bolted joint for lightweight composite laminates and metal plate IOP Coferece Series: Materials Sciece ad Egieerig PAPER OPEN ACCESS Failure aalysis of sigle-bolted joit for lightweight composite lamiates ad metal plate To cite this article: Lijie Li et al 018 IOP Cof.

More information

Research Article A New Second-Order Iteration Method for Solving Nonlinear Equations

Research Article A New Second-Order Iteration Method for Solving Nonlinear Equations Abstract ad Applied Aalysis Volume 2013, Article ID 487062, 4 pages http://dx.doi.org/10.1155/2013/487062 Research Article A New Secod-Order Iteratio Method for Solvig Noliear Equatios Shi Mi Kag, 1 Arif

More information

Exact Solutions for a Class of Nonlinear Singular Two-Point Boundary Value Problems: The Decomposition Method

Exact Solutions for a Class of Nonlinear Singular Two-Point Boundary Value Problems: The Decomposition Method Exact Solutios for a Class of Noliear Sigular Two-Poit Boudary Value Problems: The Decompositio Method Abd Elhalim Ebaid Departmet of Mathematics, Faculty of Sciece, Tabuk Uiversity, P O Box 741, Tabuki

More information

L 5 & 6: RelHydro/Basel. f(x)= ( ) f( ) ( ) ( ) ( ) n! 1! 2! 3! If the TE of f(x)= sin(x) around x 0 is: sin(x) = x - 3! 5!

L 5 & 6: RelHydro/Basel. f(x)= ( ) f( ) ( ) ( ) ( ) n! 1! 2! 3! If the TE of f(x)= sin(x) around x 0 is: sin(x) = x - 3! 5! aylor epasio: Let ƒ() be a ifiitely differetiable real fuctio. At ay poit i the eighbourhood of =0, the fuctio ca be represeted as a power series of the followig form: X 0 f(a) f() ƒ() f()= ( ) f( ) (

More information

Weighted Approximation by Videnskii and Lupas Operators

Weighted Approximation by Videnskii and Lupas Operators Weighted Approximatio by Videsii ad Lupas Operators Aif Barbaros Dime İstabul Uiversity Departmet of Egieerig Sciece April 5, 013 Aif Barbaros Dime İstabul Uiversity Departmet Weightedof Approximatio Egieerig

More information

Lecture 25 (Dec. 6, 2017)

Lecture 25 (Dec. 6, 2017) Lecture 5 8.31 Quatum Theory I, Fall 017 106 Lecture 5 (Dec. 6, 017) 5.1 Degeerate Perturbatio Theory Previously, whe discussig perturbatio theory, we restricted ourselves to the case where the uperturbed

More information

1 General linear Model Continued..

1 General linear Model Continued.. Geeral liear Model Cotiued.. We have We kow y = X + u X o radom u v N(0; I ) b = (X 0 X) X 0 y E( b ) = V ar( b ) = (X 0 X) We saw that b = (X 0 X) X 0 u so b is a liear fuctio of a ormally distributed

More information

Informal Notes: Zeno Contours, Parametric Forms, & Integrals. John Gill March August S for a convex set S in the complex plane.

Informal Notes: Zeno Contours, Parametric Forms, & Integrals. John Gill March August S for a convex set S in the complex plane. Iformal Notes: Zeo Cotours Parametric Forms & Itegrals Joh Gill March August 3 Abstract: Elemetary classroom otes o Zeo cotours streamlies pathlies ad itegrals Defiitio: Zeo cotour[] Let gk ( z = z + ηk

More information

Fluid Physics 8.292J/12.330J % (1)

Fluid Physics 8.292J/12.330J % (1) Fluid Physics 89J/133J Problem Set 5 Solutios 1 Cosider the flow of a Euler fluid i the x directio give by for y > d U = U y 1 d for y d U + y 1 d for y < This flow does ot vary i x or i z Determie the

More information

Lecture 4. Hw 1 and 2 will be reoped after class for every body. New deadline 4/20 Hw 3 and 4 online (Nima is lead)

Lecture 4. Hw 1 and 2 will be reoped after class for every body. New deadline 4/20 Hw 3 and 4 online (Nima is lead) Lecture 4 Homework Hw 1 ad 2 will be reoped after class for every body. New deadlie 4/20 Hw 3 ad 4 olie (Nima is lead) Pod-cast lecture o-lie Fial projects Nima will register groups ext week. Email/tell

More information

Hilbert Space and Least-squares Collocation

Hilbert Space and Least-squares Collocation Hilbert Space ad Least-squares Collocatio Lecture : Discrete, Mixed Boudary-Value Problem i Physical Geodesy Lecture : Hilbert Spaces, Reproducig Kerels, ad Fuctioals Lecture 3: Miimum Norm Solutio to

More information