1.050 Content overview Engineering Mechanics I Content overview. Outline and goals. Lecture 28
|
|
- Jody Summers
- 5 years ago
- Views:
Transcription
1 .5 Content overvew.5 Engneerng Mechancs I Lecture 8 Introucton: Energy bouns n lnear elastcty (cont I. Dmensonal analyss. On monsters, mce an mushrooms Lectures -. Smlarty relatons: Important engneerng tools Sept. II. Stresses an strength. Stresses an equlbrum 4. Strength moels (how to esgn structures, founatons.. aganst mechancal falure Lectures 4-5 Sept./Oct. III. Deformaton an stran 5. How stran gages work? 6. How to measure eformaton n a D Lectures 6-9 structure/materal? Oct. IV. Elastcty 7. Elastcty moel lnk stresses an eformaton 8. Varatonal methos n elastcty Lectures - Oct./Nov. V. How thngs fal an how to avo t 9. Elastc nstabltes. Plastcty (permanent eformaton Lectures -7. Fracture mechancs Dec..5 Content overvew I. Dmensonal analyss II. Stresses an strength III. Deformaton an stran IV. Elastcty Lecture : Applcatons an examples Lecture 4: Beam elastcty Lecture 5: Applcatons an examples (beam elastcty Lecture 6: cont an closure Lecture 7: Introucton: Energy bouns n lnear elastcty (D system Lecture 8: Introucton: Energy bouns n lnear elastcty (D system, cont Lecture 9: Generalzaton to D, examples Outlne an goals Use concept of concept of convexty to erve contons that specfy the solutons to elastcty problems Obtan two approaches: Approach : Base on mnmzng the ental energy Approach : Base on mnmzng the plementary energy Last part: Combne the two approaches: Upper/lower boun V. How thngs fal an how to avo t Lectures to 7 4
2 Remner: convexty of a functon f (x f (b a f (b f (a x x=a Total external work v r v r W = ξ F + ξ R f (x secant Work one by prescrbe forces Dsplacement s unknown Work one by prescrbe splacements, force unknown a b tangent Free energy an plementary free energy functons x ψ, ψ are convex! 5 6 N Total nternal work State equatons Combnng t v r v r! W = ξ F + ξ R =ψ +ψ Complementary free energy ψ N = δ v (ψ ξ r! v r R = ψ ξ F ψ Free energy δ = N Complementary energy Potental energy =: ε =: ε δ δ N =ψ (N +ψ (δ 7 Soluton to elastcty problem ε = ε 8
3 Example system: D truss structure N N N Rg bounary Mnmum ental energy approach Conser two knematcally amssble (K.A. splacement fels ( Approxmaton δ = δ = δ = ξ to soluton (K.A. N N N ( Rg bar δ δ δ P ξ 9 δ Actual soluton δ P δ δ = δ + (ξ δ ξ Prescrbe force Unknown δ = δ + 4 (ξ δ splacement δ Mnmum ental energy approach ( ξ P = N δ Mnmum ental energy approach ε (δ,ξ =ψ (δ Pξ ψ (δ Pξ = ε (δ,ξ ( ξ P = N δ (-( P(ξ ξ = N (δ δ = (δ δ δ N = δ Convexty: (δ δ ψ (δ ψ (δ δ P(ξ ξ ψ (δ ψ (δ ε ( δ, ξ = ψ ( δ P ξ ψ ( δ Pξ = ε ( δ, ξ Potental energy of actual soluton s always smaller than the soluton to any other splacement fel Therefore, the actual soluton realzes a mnmum of the ental energy: ε (δ,ξ = mn ε (δ,ξ δ K.A. To fn a soluton, mnmze the ental energy for a selecte choce of knematcally amssble splacement fels We have not nvoke the EQ contons!
4 Mnmum plementary energy approach Contons for statcally amssble (S.A. N + N + N = R N + N N = Conser two statcally amssble force fels Approxmaton to soluton Stll S.A. N N R N ( N, N, N N N N ( δ δ R δ N N N N = /R ξ Prescrbe Actual soluton (obtane n N = / R splacement lecture N = 7 /R Unknown force R Mnmum plementary energy approach ( ξ R = N δ ( ξ R = N δ (-( ξ (R R = δ (N N = (N (N N N δ = N ψ Convexty: (N N ψ ( N ψ (N N ξ (R R ψ (N ψ (N ε ( N, R = ψ ( N ξ R ψ ( N ξ R = ε ( N, R 4 Mnmum plementary energy approach Combne: Upper/lower boun ε ( N, R = ψ ( N ξ R ψ ( N ξ R = ε Complementary energy of actual soluton s always smaller than the soluton to any other splacement fel Therefore, the actual soluton realzes a mnmum of the plementary energy: ε ( N, R = mn ε( N, R N S.A. ( N, R To fn a soluton, mnmze the plementary energy for a selecte choce of statcally amssble force fels We have not nvoke the knematcs of the problem! 5 Recall that the soluton to elastcty problem ε = ε Therefore ε (N, R = max( ε (N, R (change sgn N S.A. ε (δ,ξ = mn ε (δ,ξ δ K.A. max( ε (N, R ε (N, R N S.A. s equal to ε (δ,ξ mn ε (δ,ξ δ K.A. Upper boun Lower boun At the soluton to the elastcty problem, the upper an lower boun conce 6 4
5 Approach to approxmate/numercal soluton of elastcty problems Mnmum ental energy approach: Select a guess for a splacement fel; the only conton that must be satsfe s that t s knematcally amssble. In a numercal soluton, ths splacement fel s typcally a functon of some unknown parameters (a, Express the ental energy as a functon of the unknown parameters a, Mnmze the ental energy by fnng the approprate set of parameters (a, for the mnmum generally yels approxmate soluton The actual soluton s gven by the splacement fel that yels a total mnmum of the ental energy. Otherwse, an approxmate soluton s obtane Mnmum plementary energy approach: Select a guess for a force fel; the only conton that must be satsfe s that t s statcally amssble. In a numercal soluton, ths force fel s typcally a functon of some unknown parameters (b,b, Express the plementary energy as a functon of the unknown parameters b,b, Mnmze the plementary energy by fnng the approprate set of parameters (b,b, for the mnmum generally yels approxmate soluton The actual soluton s gven by the force fel that yels a total mnmum of the plementary energy. Otherwse, an approxmate soluton s obtane At the elastc soluton, the mnmum ental energy approach soluton an the negatve of the soluton of the mnmum plementary energy approach conce 7 5
Finite Element Modelling of truss/cable structures
Pet Schreurs Endhoven Unversty of echnology Department of Mechancal Engneerng Materals echnology November 3, 214 Fnte Element Modellng of truss/cable structures 1 Fnte Element Analyss of prestressed structures
More informationAPPENDIX F A DISPLACEMENT-BASED BEAM ELEMENT WITH SHEAR DEFORMATIONS. Never use a Cubic Function Approximation for a Non-Prismatic Beam
APPENDIX F A DISPACEMENT-BASED BEAM EEMENT WITH SHEAR DEFORMATIONS Never use a Cubc Functon Approxmaton for a Non-Prsmatc Beam F. INTRODUCTION { XE "Shearng Deformatons" }In ths appendx a unque development
More informationChapter Eight. Review and Summary. Two methods in solid mechanics ---- vectorial methods and energy methods or variational methods
Chapter Eght Energy Method 8. Introducton 8. Stran energy expressons 8.3 Prncpal of statonary potental energy; several degrees of freedom ------ Castglano s frst theorem ---- Examples 8.4 Prncpal of statonary
More information1.050 Content overview Engineering Mechanics I Content overview. Selection of boundary conditions: Euler buckling.
.050 Content overview.050 Engineering Mechanics I Lecture 34 How things fail and how to avoid it Additional notes energy approach I. Dimensional analysis. On monsters, mice and mushrooms Lectures -3. Similarity
More informationNumerical modeling of a non-linear viscous flow in order to determine how parameters in constitutive relations influence the entropy production
Technsche Unverstät Berln Fakultät für Verkehrs- un Maschnensysteme, Insttut für Mechank Lehrstuhl für Kontnuumsmechank un Materaltheore, Prof. W.H. Müller Numercal moelng of a non-lnear vscous flow n
More informationCOMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD
COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD Ákos Jósef Lengyel, István Ecsed Assstant Lecturer, Professor of Mechancs, Insttute of Appled Mechancs, Unversty of Mskolc, Mskolc-Egyetemváros,
More informationTopological Sensitivity Analysis for Three-dimensional Linear Elasticity Problem
6 th Worl Congress on Structural an Multscplnary Optmzaton Ro e Janero, 30 May - 03 June 2005, Brazl Topologcal Senstvty Analyss for Three-mensonal Lnear Elastcty Problem A.A. Novotny 1, R.A. Fejóo 1,
More information2. PROBLEM STATEMENT AND SOLUTION STRATEGIES. L q. Suppose that we have a structure with known geometry (b, h, and L) and material properties (EA).
. PROBEM STATEMENT AND SOUTION STRATEGIES Problem statement P, Q h ρ ρ o EA, N b b Suppose that we have a structure wth known geometry (b, h, and ) and materal propertes (EA). Gven load (P), determne the
More informationIn this section is given an overview of the common elasticity models.
Secton 4.1 4.1 Elastc Solds In ths secton s gven an overvew of the common elastcty models. 4.1.1 The Lnear Elastc Sold The classcal Lnear Elastc model, or Hooean model, has the followng lnear relatonshp
More informationMECHANICS OF MATERIALS
Fourth Edton CHTER MECHNICS OF MTERIS Ferdnand. Beer E. Russell Johnston, Jr. John T. DeWolf ecture Notes: J. Walt Oler Texas Tech Unversty Stress and Stran xal oadng Contents Stress & Stran: xal oadng
More information1.050 Engineering Mechanics. Lecture 22: Isotropic elasticity
1.050 Engineering Mechanics Lecture 22: Isotropic elasticity 1.050 Content overview I. Dimensional analysis 1. On monsters, mice and mushrooms 2. Similarity relations: Important engineering tools II. Stresses
More informationPHYS 705: Classical Mechanics. Calculus of Variations II
1 PHYS 705: Classcal Mechancs Calculus of Varatons II 2 Calculus of Varatons: Generalzaton (no constrant yet) Suppose now that F depends on several dependent varables : We need to fnd such that has a statonary
More informationPrinciple of virtual work
Ths prncple s the most general prncple n mechancs 2.9.217 Prncple of vrtual work There s Equvalence between the Prncple of Vrtual Work and the Equlbrum Equaton You must know ths from statc course and dynamcs
More informationSTATIC ANALYSIS OF TWO-LAYERED PIEZOELECTRIC BEAMS WITH IMPERFECT SHEAR CONNECTION
STATIC ANALYSIS OF TWO-LERED PIEZOELECTRIC BEAMS WITH IMPERFECT SHEAR CONNECTION Ákos József Lengyel István Ecsed Assstant Lecturer Emertus Professor Insttute of Appled Mechancs Unversty of Mskolc Mskolc-Egyetemváros
More informationIndeterminate pin-jointed frames (trusses)
Indetermnate pn-jonted frames (trusses) Calculaton of member forces usng force method I. Statcal determnacy. The degree of freedom of any truss can be derved as: w= k d a =, where k s the number of all
More informationMMA and GCMMA two methods for nonlinear optimization
MMA and GCMMA two methods for nonlnear optmzaton Krster Svanberg Optmzaton and Systems Theory, KTH, Stockholm, Sweden. krlle@math.kth.se Ths note descrbes the algorthms used n the author s 2007 mplementatons
More informationMechanics Physics 151
Mechancs Physcs 5 Lecture 3 Contnuous Systems an Fels (Chapter 3) Where Are We Now? We ve fnshe all the essentals Fnal wll cover Lectures through Last two lectures: Classcal Fel Theory Start wth wave equatons
More informationIntegrals and Invariants of Euler-Lagrange Equations
Lecture 16 Integrals and Invarants of Euler-Lagrange Equatons ME 256 at the Indan Insttute of Scence, Bengaluru Varatonal Methods and Structural Optmzaton G. K. Ananthasuresh Professor, Mechancal Engneerng,
More informationThe Two-scale Finite Element Errors Analysis for One Class of Thermoelastic Problem in Periodic Composites
7 Asa-Pacfc Engneerng Technology Conference (APETC 7) ISBN: 978--6595-443- The Two-scale Fnte Element Errors Analyss for One Class of Thermoelastc Problem n Perodc Compostes Xaoun Deng Mngxang Deng ABSTRACT
More informationThe Finite Element Method
The Fnte Element Method GENERAL INTRODUCTION Read: Chapters 1 and 2 CONTENTS Engneerng and analyss Smulaton of a physcal process Examples mathematcal model development Approxmate solutons and methods of
More informationFeature Selection: Part 1
CSE 546: Machne Learnng Lecture 5 Feature Selecton: Part 1 Instructor: Sham Kakade 1 Regresson n the hgh dmensonal settng How do we learn when the number of features d s greater than the sample sze n?
More information3. Be able to derive the chemical equilibrium constants from statistical mechanics.
Lecture #17 1 Lecture 17 Objectves: 1. Notaton of chemcal reactons 2. General equlbrum 3. Be able to derve the chemcal equlbrum constants from statstcal mechancs. 4. Identfy how nondeal behavor can be
More informationAdvanced Mechanical Elements
May 3, 08 Advanced Mechancal Elements (Lecture 7) Knematc analyss and moton control of underactuated mechansms wth elastc elements - Moton control of underactuated mechansms constraned by elastc elements
More informationOne Dimensional Axial Deformations
One Dmensonal al Deformatons In ths secton, a specfc smple geometr s consdered, that of a long and thn straght component loaded n such a wa that t deforms n the aal drecton onl. The -as s taken as the
More informationU.C. Berkeley CS294: Beyond Worst-Case Analysis Luca Trevisan September 5, 2017
U.C. Berkeley CS94: Beyond Worst-Case Analyss Handout 4s Luca Trevsan September 5, 07 Summary of Lecture 4 In whch we ntroduce semdefnte programmng and apply t to Max Cut. Semdefnte Programmng Recall that
More informationp(z) = 1 a e z/a 1(z 0) yi a i x (1/a) exp y i a i x a i=1 n i=1 (y i a i x) inf 1 (y Ax) inf Ax y (1 ν) y if A (1 ν) = 0 otherwise
Dustn Lennon Math 582 Convex Optmzaton Problems from Boy, Chapter 7 Problem 7.1 Solve the MLE problem when the nose s exponentally strbute wth ensty p(z = 1 a e z/a 1(z 0 The MLE s gven by the followng:
More informationFrame element resists external loads or disturbances by developing internal axial forces, shear forces, and bending moments.
CE7 Structural Analyss II PAAR FRAE EEET y 5 x E, A, I, Each node can translate and rotate n plane. The fnal dsplaced shape has ndependent generalzed dsplacements (.e. translatons and rotatons) noled.
More informationSome Comments on Accelerating Convergence of Iterative Sequences Using Direct Inversion of the Iterative Subspace (DIIS)
Some Comments on Acceleratng Convergence of Iteratve Sequences Usng Drect Inverson of the Iteratve Subspace (DIIS) C. Davd Sherrll School of Chemstry and Bochemstry Georga Insttute of Technology May 1998
More informationNUMERICAL RESULTS QUALITY IN DEPENDENCE ON ABAQUS PLANE STRESS ELEMENTS TYPE IN BIG DISPLACEMENTS COMPRESSION TEST
Appled Computer Scence, vol. 13, no. 4, pp. 56 64 do: 10.23743/acs-2017-29 Submtted: 2017-10-30 Revsed: 2017-11-15 Accepted: 2017-12-06 Abaqus Fnte Elements, Plane Stress, Orthotropc Materal Bartosz KAWECKI
More informationKinematics of Fluid Motion
Knematcs of Flu Moton R. Shankar Subramanan Department of Chemcal an Bomolecular Engneerng Clarkson Unversty Knematcs s the stuy of moton wthout ealng wth the forces that affect moton. The scusson here
More informationTopic 5: Non-Linear Regression
Topc 5: Non-Lnear Regresson The models we ve worked wth so far have been lnear n the parameters. They ve been of the form: y = Xβ + ε Many models based on economc theory are actually non-lnear n the parameters.
More informationFinite Element Solution Algorithm for Nonlinear Elasticity Problems by Domain Decomposition Method
Fnte Element Soluton Algorthm for Nonlnear Elastcty Problems by Doman Decomposton Method Bedřch Sousedík Department of Mathematcs, Faculty of Cvl Engneerng, Czech Techncal Unversty n Prague, Thákurova
More informationChapter 7: Conservation of Energy
Lecture 7: Conservaton o nergy Chapter 7: Conservaton o nergy Introucton I the quantty o a subject oes not change wth tme, t means that the quantty s conserve. The quantty o that subject remans constant
More informationChapter 2 Transformations and Expectations. , and define f
Revew for the prevous lecture Defnton: support set of a ranom varable, the monotone functon; Theorem: How to obtan a cf, pf (or pmf) of functons of a ranom varable; Eamples: several eamples Chapter Transformatons
More informationBuckling analysis of single-layered FG nanoplates on elastic substrate with uneven porosities and various boundary conditions
IOSR Journal of Mechancal and Cvl Engneerng (IOSR-JMCE) e-issn: 78-1684,p-ISSN: 30-334X, Volume 15, Issue 5 Ver. IV (Sep. - Oct. 018), PP 41-46 www.osrjournals.org Bucklng analyss of sngle-layered FG nanoplates
More informationVisualization of 2D Data By Rational Quadratic Functions
7659 Englan UK Journal of Informaton an Computng cence Vol. No. 007 pp. 7-6 Vsualzaton of D Data By Ratonal Quaratc Functons Malk Zawwar Hussan + Nausheen Ayub Msbah Irsha Department of Mathematcs Unversty
More informationINDETERMINATE STRUCTURES METHOD OF CONSISTENT DEFORMATIONS (FORCE METHOD)
INETNTE STUTUES ETHO OF ONSISTENT EFOTIONS (FOE ETHO) If all the support reactons and nternal forces (, Q, and N) can not be determned by usng equlbrum equatons only, the structure wll be referred as STTIY
More informationLecture Notes on Linear Regression
Lecture Notes on Lnear Regresson Feng L fl@sdueducn Shandong Unversty, Chna Lnear Regresson Problem In regresson problem, we am at predct a contnuous target value gven an nput feature vector We assume
More informationPresenters. Muscle Modeling. John Rasmussen (Presenter) Arne Kiis (Host) The web cast will begin in a few minutes.
Muscle Modelng If a part of my screen n mssng from your Vew, please press Sharng -> Vew -> Autoft The web cast wll begn n a few mnutes. Introducton (~5 mn) Overvew (~5 mn) Muscle knematcs (~10 mn) Muscle
More informationNumerical Heat and Mass Transfer
Master degree n Mechancal Engneerng Numercal Heat and Mass Transfer 06-Fnte-Dfference Method (One-dmensonal, steady state heat conducton) Fausto Arpno f.arpno@uncas.t Introducton Why we use models and
More informationCHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE
CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE Analytcal soluton s usually not possble when exctaton vares arbtrarly wth tme or f the system s nonlnear. Such problems can be solved by numercal tmesteppng
More informationBAR & TRUSS FINITE ELEMENT. Direct Stiffness Method
BAR & TRUSS FINITE ELEMENT Drect Stness Method FINITE ELEMENT ANALYSIS AND APPLICATIONS INTRODUCTION TO FINITE ELEMENT METHOD What s the nte element method (FEM)? A technqe or obtanng approxmate soltons
More information5.04, Principles of Inorganic Chemistry II MIT Department of Chemistry Lecture 32: Vibrational Spectroscopy and the IR
5.0, Prncples of Inorganc Chemstry II MIT Department of Chemstry Lecture 3: Vbratonal Spectroscopy and the IR Vbratonal spectroscopy s confned to the 00-5000 cm - spectral regon. The absorpton of a photon
More informationLecture 21: Numerical methods for pricing American type derivatives
Lecture 21: Numercal methods for prcng Amercan type dervatves Xaoguang Wang STAT 598W Aprl 10th, 2014 (STAT 598W) Lecture 21 1 / 26 Outlne 1 Fnte Dfference Method Explct Method Penalty Method (STAT 598W)
More informationA comprehensive study: Boundary conditions for representative volume elements (RVE) of composites
Insttute of Structural Mechancs A comprehensve study: Boundary condtons for representatve volume elements (RVE) of compostes Srhar Kurukur A techncal report on homogenzaton technques A comprehensve study:
More informationLecture 8 Modal Analysis
Lecture 8 Modal Analyss 16.0 Release Introducton to ANSYS Mechancal 1 2015 ANSYS, Inc. February 27, 2015 Chapter Overvew In ths chapter free vbraton as well as pre-stressed vbraton analyses n Mechancal
More informationCHAPTER 9 CONCLUSIONS
78 CHAPTER 9 CONCLUSIONS uctlty and structural ntegrty are essentally requred for structures subjected to suddenly appled dynamc loads such as shock loads. Renforced Concrete (RC), the most wdely used
More information6) Derivatives, gradients and Hessian matrices
30C00300 Mathematcal Methods for Economsts (6 cr) 6) Dervatves, gradents and Hessan matrces Smon & Blume chapters: 14, 15 Sldes by: Tmo Kuosmanen 1 Outlne Defnton of dervatve functon Dervatve notatons
More informationKernel Methods and SVMs Extension
Kernel Methods and SVMs Extenson The purpose of ths document s to revew materal covered n Machne Learnng 1 Supervsed Learnng regardng support vector machnes (SVMs). Ths document also provdes a general
More informationORIGIN 1. PTC_CE_BSD_3.2_us_mp.mcdx. Mathcad Enabled Content 2011 Knovel Corp.
Clck to Vew Mathcad Document 2011 Knovel Corp. Buldng Structural Desgn. homas P. Magner, P.E. 2011 Parametrc echnology Corp. Chapter 3: Renforced Concrete Slabs and Beams 3.2 Renforced Concrete Beams -
More informationGeometric Registration for Deformable Shapes. 2.1 ICP + Tangent Space optimization for Rigid Motions
Geometrc Regstraton for Deformable Shapes 2.1 ICP + Tangent Space optmzaton for Rgd Motons Regstraton Problem Gven Two pont cloud data sets P (model) and Q (data) sampled from surfaces Φ P and Φ Q respectvely.
More informationGeneralized Linear Methods
Generalzed Lnear Methods 1 Introducton In the Ensemble Methods the general dea s that usng a combnaton of several weak learner one could make a better learner. More formally, assume that we have a set
More informationHigh-Order Hamilton s Principle and the Hamilton s Principle of High-Order Lagrangian Function
Commun. Theor. Phys. Bejng, Chna 49 008 pp. 97 30 c Chnese Physcal Socety Vol. 49, No., February 15, 008 Hgh-Orer Hamlton s Prncple an the Hamlton s Prncple of Hgh-Orer Lagrangan Functon ZHAO Hong-Xa an
More informationChapter 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.
Chapter - The Smple Lnear Regresson Model The lnear regresson equaton s: where y + = β + β e for =,..., y and are observable varables e s a random error How can an estmaton rule be constructed for the
More informationOptimization. Nuno Vasconcelos ECE Department, UCSD
Optmzaton Nuno Vasconcelos ECE Department, UCSD Optmzaton many engneerng problems bol on to optmzaton goal: n mamum or mnmum o a uncton Denton: gven unctons, g,,...,k an h,,...m ene on some oman Ω R n
More informationA Note on the Numerical Solution for Fredholm Integral Equation of the Second Kind with Cauchy kernel
Journal of Mathematcs an Statstcs 7 (): 68-7, ISS 49-3644 Scence Publcatons ote on the umercal Soluton for Freholm Integral Equaton of the Secon Kn wth Cauchy kernel M. bulkaw,.m.. k Long an Z.K. Eshkuvatov
More informationSolutions HW #2. minimize. Ax = b. Give the dual problem, and make the implicit equality constraints explicit. Solution.
Solutons HW #2 Dual of general LP. Fnd the dual functon of the LP mnmze subject to c T x Gx h Ax = b. Gve the dual problem, and make the mplct equalty constrants explct. Soluton. 1. The Lagrangan s L(x,
More informationField and Wave Electromagnetic. Chapter.4
Fel an Wave Electromagnetc Chapter.4 Soluton of electrostatc Problems Posson s s an Laplace s Equatons D = ρ E = E = V D = ε E : Two funamental equatons for electrostatc problem Where, V s scalar electrc
More informationVisco-Rubber Elastic Model for Pressure Sensitive Adhesive
Vsco-Rubber Elastc Model for Pressure Senstve Adhesve Kazuhsa Maeda, Shgenobu Okazawa, Koj Nshgch and Takash Iwamoto Abstract A materal model to descrbe large deformaton of pressure senstve adhesve (PSA
More informationCOMPUTATIONAL METHODS AND ALGORITHMS Vol. II - Finite Element Method - Jacques-Hervé SAIAC
COMPUTATIONAL METHODS AND ALGORITHMS Vol. II - Fnte Element Method - Jacques-Hervé SAIAC FINITE ELEMENT METHOD Jacques-Hervé SAIAC Départment de Mathématques, Conservatore Natonal des Arts et Méters, Pars,
More informationSome modelling aspects for the Matlab implementation of MMA
Some modellng aspects for the Matlab mplementaton of MMA Krster Svanberg krlle@math.kth.se Optmzaton and Systems Theory Department of Mathematcs KTH, SE 10044 Stockholm September 2004 1. Consdered optmzaton
More informationSecond Order Analysis
Second Order Analyss In the prevous classes we looked at a method that determnes the load correspondng to a state of bfurcaton equlbrum of a perfect frame by egenvalye analyss The system was assumed to
More informationTensor Smooth Length for SPH Modelling of High Speed Impact
Tensor Smooth Length for SPH Modellng of Hgh Speed Impact Roman Cherepanov and Alexander Gerasmov Insttute of Appled mathematcs and mechancs, Tomsk State Unversty 634050, Lenna av. 36, Tomsk, Russa RCherepanov82@gmal.com,Ger@npmm.tsu.ru
More informationIntegrals and Invariants of
Lecture 16 Integrals and Invarants of Euler Lagrange Equatons NPTEL Course Varatonal Methods and Structural Optmzaton G. K. Ananthasuresh Professor, Mechancal Engneerng, Indan Insttute of Scence, Banagalore
More informationx i1 =1 for all i (the constant ).
Chapter 5 The Multple Regresson Model Consder an economc model where the dependent varable s a functon of K explanatory varables. The economc model has the form: y = f ( x,x,..., ) xk Approxmate ths by
More informationElectrical double layer: revisit based on boundary conditions
Electrcal double layer: revst based on boundary condtons Jong U. Km Department of Electrcal and Computer Engneerng, Texas A&M Unversty College Staton, TX 77843-318, USA Abstract The electrcal double layer
More informationPlate Theories for Classical and Laminated plates Weak Formulation and Element Calculations
Plate heores for Classcal and Lamnated plates Weak Formulaton and Element Calculatons PM Mohte Department of Aerospace Engneerng Indan Insttute of echnolog Kanpur EQIP School on Computatonal Methods n
More informationSIMULATION OF WAVE PROPAGATION IN AN HETEROGENEOUS ELASTIC ROD
SIMUATION OF WAVE POPAGATION IN AN HETEOGENEOUS EASTIC OD ogéro M Saldanha da Gama Unversdade do Estado do o de Janero ua Sào Francsco Xaver 54, sala 5 A 559-9, o de Janero, Brasl e-mal: rsgama@domancombr
More informationTHE IDENTIFICATION OF MATERIAL PARAMETERS IN NONLINEAR DEFORMATION MODELS OF METALLIC-PLASTIC CYLINDRICAL SHELLS UNDER PULSED LOADING
Materals Physcs and Mechancs (2015) 66-70 Receved: March 27, 2015 THE IDENTIFICATION OF MATERIAL PARAMETERS IN NONLINEAR DEFORMATION MODELS OF METALLIC-PLASTIC CYLINDRICAL SHELLS UNDER PULSED LOADING N.А.
More informationEffects of internal=external pressure on the global buckling of pipelines
159 Effects of nternal=external pressure on the global bucklng of ppelnes Eduardo N. Dvorkn, Rta G. Toscano * Center for Industral Research, FUDETEC, Av. Córdoba 3, 154, Buenos Ares, Argentna Abstract
More informationChapter 9: Statistical Inference and the Relationship between Two Variables
Chapter 9: Statstcal Inference and the Relatonshp between Two Varables Key Words The Regresson Model The Sample Regresson Equaton The Pearson Correlaton Coeffcent Learnng Outcomes After studyng ths chapter,
More informationErrors for Linear Systems
Errors for Lnear Systems When we solve a lnear system Ax b we often do not know A and b exactly, but have only approxmatons  and ˆb avalable. Then the best thng we can do s to solve ˆx ˆb exactly whch
More informationNumerical Simulation of One-Dimensional Wave Equation by Non-Polynomial Quintic Spline
IOSR Journal of Matematcs (IOSR-JM) e-issn: 78-578, p-issn: 319-765X. Volume 14, Issue 6 Ver. I (Nov - Dec 018), PP 6-30 www.osrournals.org Numercal Smulaton of One-Dmensonal Wave Equaton by Non-Polynomal
More informationNMT EE 589 & UNM ME 482/582 ROBOT ENGINEERING. Dr. Stephen Bruder NMT EE 589 & UNM ME 482/582
NMT EE 589 & UNM ME 48/58 ROBOT ENGINEERING Dr. Stephen Bruder NMT EE 589 & UNM ME 48/58 7. Robot Dynamcs 7.5 The Equatons of Moton Gven that we wsh to fnd the path q(t (n jont space) whch mnmzes the energy
More informationPoint cloud to point cloud rigid transformations. Minimizing Rigid Registration Errors
Pont cloud to pont cloud rgd transformatons Russell Taylor 600.445 1 600.445 Fall 000-015 Mnmzng Rgd Regstraton Errors Typcally, gven a set of ponts {a } n one coordnate system and another set of ponts
More informationLecture 14: Forces and Stresses
The Nuts and Bolts of Frst-Prncples Smulaton Lecture 14: Forces and Stresses Durham, 6th-13th December 2001 CASTEP Developers Group wth support from the ESF ψ k Network Overvew of Lecture Why bother? Theoretcal
More informationDescription of the Force Method Procedure. Indeterminate Analysis Force Method 1. Force Method con t. Force Method con t
Indeternate Analyss Force Method The force (flexblty) ethod expresses the relatonshps between dsplaceents and forces that exst n a structure. Prary objectve of the force ethod s to deterne the chosen set
More informationGeometrically exact multi-layer beams with a rigid interconnection
Geometrcally exact mult-layer beams wth a rgd nterconnecton Leo Škec, Gordan Jelenć To cte ths verson: Leo Škec, Gordan Jelenć. Geometrcally exact mult-layer beams wth a rgd nterconnecton. 2nd ECCOMAS
More informationModule 3: Element Properties Lecture 1: Natural Coordinates
Module 3: Element Propertes Lecture : Natural Coordnates Natural coordnate system s bascally a local coordnate system whch allows the specfcaton of a pont wthn the element by a set of dmensonless numbers
More informationLecture 2 Solution of Nonlinear Equations ( Root Finding Problems )
Lecture Soluton o Nonlnear Equatons Root Fndng Problems Dentons Classcaton o Methods Analytcal Solutons Graphcal Methods Numercal Methods Bracketng Methods Open Methods Convergence Notatons Root Fndng
More informationNumerical Solutions of a Generalized Nth Order Boundary Value Problems Using Power Series Approximation Method
Appled Mathematcs, 6, 7, 5-4 Publshed Onlne Jul 6 n ScRes. http://www.scrp.org/journal/am http://.do.org/.436/am.6.77 umercal Solutons of a Generalzed th Order Boundar Value Problems Usng Power Seres Approxmaton
More informationCASE STUDIES ON PERFORMANCE BASED SEISMIC DESIGN USING CAPACITY SPECTRUM METHOD
CAE TUDIE ON PERFORMANCE BAED EIMIC DEIGN UING CAPACITY PECTRUM METHOD T NAGAO, H MUKAI An D NIHIKAWA 3 UMMARY Ths research ams to show the proceures an results of Performance Base esmc Desgn usng Capacty
More informationPlease review the following statement: I certify that I have not given unauthorized aid nor have I received aid in the completion of this exam.
Please revew the followng statement: I certfy that I have not gven unauthorzed ad nor have I receved ad n the completon of ths exam. Sgnature: Instructor s Name and Secton: (Crcle Your Secton) Sectons:
More informationEXPERIMENTAL STUDY AND NUMERICAL ANALYSIS ON VIBRATION CHARACTERISTICS OF SIMPLY SUPPORTED OVERHANG BEAM UNDER LARGE DEFORMATION
Proceengs of the Internatonal Conference on Mechancal Engneerng 0 (ICME0) 8-0 December 0, Dhaka, Banglaesh ICME- EXPERIMENTAL STUDY AND NUMERICAL ANALYSIS ON VIBRATION CHARACTERISTICS OF SIMPLY SUPPORTED
More informationFormal solvers of the RT equation
Formal solvers of the RT equaton Formal RT solvers Runge- Kutta (reference solver) Pskunov N.: 979, Master Thess Long characterstcs (Feautrer scheme) Cannon C.J.: 970, ApJ 6, 55 Short characterstcs (Hermtan
More informationConic Programming in GAMS
Conc Programmng n GAMS Armn Pruessner, Mchael Busseck, Steven Drkse, Ale Meeraus GAMS Development Corporaton INFORMS 003, Atlanta October 19- Drecton What ths talk s about Overvew: the class of conc programs
More informationNonlinear Programming Approach to Form-finding and Folding Analysis of Tensegrity Structures using Fictitious Material Properties
Submtted to Int. J. Solds and Structures Nonlnear Programmng Approach to Form-fndng and Foldng Analyss of Tensegrty Structures usng Fcttous Materal Propertes *M. Ohsak¹ and J.Y. Zhang 2 1 Department of
More informationLecture Note 3. Eshelby s Inclusion II
ME340B Elastcty of Mcroscopc Structures Stanford Unversty Wnter 004 Lecture Note 3. Eshelby s Incluson II Chrs Wenberger and We Ca c All rghts reserved January 6, 004 Contents 1 Incluson energy n an nfnte
More informationFINITE DIFFERENCE ANALYSIS OF CURVED DEEP BEAMS ON WINKLER FOUNDATION
VOL. 6, NO. 3, MARCH 0 ISSN 89-6608 006-0 Asan Research Publshng Network (ARPN). All rghts reserved. FINITE DIFFERENCE ANALYSIS OF CURVED DEEP BEAMS ON WINKLER FOUNDATION Adel A. Al-Azzaw and Al S. Shaker
More informationReview of Taylor Series. Read Section 1.2
Revew of Taylor Seres Read Secton 1.2 1 Power Seres A power seres about c s an nfnte seres of the form k = 0 k a ( x c) = a + a ( x c) + a ( x c) + a ( x c) k 2 3 0 1 2 3 + In many cases, c = 0, and the
More informationNatural Neighbors and Voronoi Tessellations in Computational Mechanics
Unversty of Calforna, Davs Natural Neghbors and Vorono Tessellatons n Computatonal Mechancs N. Sukumar Unversty of Calforna, Davs, USA Jgsaw Tessellatons Workshop Lorentz Center, Leden March 09, 2006 Collaborators
More informationLinear Approximation with Regularization and Moving Least Squares
Lnear Approxmaton wth Regularzaton and Movng Least Squares Igor Grešovn May 007 Revson 4.6 (Revson : March 004). 5 4 3 0.5 3 3.5 4 Contents: Lnear Fttng...4. Weghted Least Squares n Functon Approxmaton...
More informationChapter 4: Root Finding
Chapter 4: Root Fndng Startng values Closed nterval methods (roots are search wthn an nterval o Bsecton Open methods (no nterval o Fxed Pont o Newton-Raphson o Secant Method Repeated roots Zeros of Hgher-Dmensonal
More informationChapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems
Numercal Analyss by Dr. Anta Pal Assstant Professor Department of Mathematcs Natonal Insttute of Technology Durgapur Durgapur-713209 emal: anta.bue@gmal.com 1 . Chapter 5 Soluton of System of Lnear Equatons
More informationCHAPTER 4d. ROOTS OF EQUATIONS
CHAPTER 4d. ROOTS OF EQUATIONS A. J. Clark School o Engneerng Department o Cvl and Envronmental Engneerng by Dr. Ibrahm A. Assakka Sprng 00 ENCE 03 - Computaton Methods n Cvl Engneerng II Department o
More informationOn the Multicriteria Integer Network Flow Problem
BULGARIAN ACADEMY OF SCIENCES CYBERNETICS AND INFORMATION TECHNOLOGIES Volume 5, No 2 Sofa 2005 On the Multcrtera Integer Network Flow Problem Vassl Vasslev, Marana Nkolova, Maryana Vassleva Insttute of
More informationElectrical Circuits 2.1 INTRODUCTION CHAPTER
CHAPTE Electrcal Crcuts. INTODUCTION In ths chapter, we brefly revew the three types of basc passve electrcal elements: resstor, nductor and capactor. esstance Elements: Ohm s Law: The voltage drop across
More informationNumerical Nonlinear Analysis with the Boundary Element Method
Blucher Mechancal Engneerng Proceedngs May 2014, vol. 1, num. 1 www.proceedngs.blucher.com.br/evento/10wccm Numercal Nonlnear Analyss wth the Boundary Element Method E. Pneda 1, I. Vllaseñor 1 and J. Zapata
More informationFTCS Solution to the Heat Equation
FTCS Soluton to the Heat Equaton ME 448/548 Notes Gerald Recktenwald Portland State Unversty Department of Mechancal Engneerng gerry@pdx.edu ME 448/548: FTCS Soluton to the Heat Equaton Overvew 1. Use
More informationNew Liu Estimators for the Poisson Regression Model: Method and Application
New Lu Estmators for the Posson Regresson Moel: Metho an Applcaton By Krstofer Månsson B. M. Golam Kbra, Pär Sölaner an Ghaz Shukur,3 Department of Economcs, Fnance an Statstcs, Jönköpng Unversty Jönköpng,
More information