Barna Szabó, Ivo Babuska
Introduction to Finite Element Analysis (eBook, PDF)
Formulation, Verification and Validation
Schade – dieser Artikel ist leider ausverkauft. Sobald wir wissen, ob und wann der Artikel wieder verfügbar ist, informieren wir Sie an dieser Stelle.
Barna Szabó, Ivo Babuska
Introduction to Finite Element Analysis (eBook, PDF)
Formulation, Verification and Validation
- Format: PDF
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei
bücher.de, um das eBook-Abo tolino select nutzen zu können.
Hier können Sie sich einloggen
Hier können Sie sich einloggen
Sie sind bereits eingeloggt. Klicken Sie auf 2. tolino select Abo, um fortzufahren.
Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei bücher.de, um das eBook-Abo tolino select nutzen zu können.
When using numerical simulation to make a decision, how can its reliability be determined? What are the common pitfalls and mistakes when assessing the trustworthiness of computed information, and how can they be avoided? Whenever numerical simulation is employed in connection with engineering decision-making, there is an implied expectation of reliability: one cannot base decisions on computed information without believing that information is reliable enough to support those decisions. Using mathematical models to show the reliability of computer-generated information is an essential part of…mehr
- Geräte: PC
- eBook Hilfe
When using numerical simulation to make a decision, how can its reliability be determined? What are the common pitfalls and mistakes when assessing the trustworthiness of computed information, and how can they be avoided? Whenever numerical simulation is employed in connection with engineering decision-making, there is an implied expectation of reliability: one cannot base decisions on computed information without believing that information is reliable enough to support those decisions. Using mathematical models to show the reliability of computer-generated information is an essential part of any modelling effort. Giving users of finite element analysis (FEA) software an introduction to verification and validation procedures, this book thoroughly covers the fundamentals of assuring reliability in numerical simulation. The renowned authors systematically guide readers through the basic theory and algorithmic structure of the finite element method, using helpful examples and exercises throughout. * Delivers the tools needed to have a working knowledge of the finite element method * Illustrates the concepts and procedures of verification and validation * Explains the process of conceptualization supported by virtual experimentation * Describes the convergence characteristics of the h-, p- and hp-methods * Covers the hierarchic view of mathematical models and finite element spaces * Uses examples and exercises which illustrate the techniques and procedures of quality assurance * Ideal for mechanical and structural engineering students, practicing engineers and applied mathematicians * Includes parameter-controlled examples of solved problems in a companion website (href="http://www.wiley.com/go/szabo">www.wiley.com/go/szabo)
Produktdetails
- Produktdetails
- Verlag: John Wiley & Sons
- Seitenzahl: 384
- Erscheinungstermin: 10. März 2011
- Englisch
- ISBN-13: 9781119993827
- Artikelnr.: 38244167
- Verlag: John Wiley & Sons
- Seitenzahl: 384
- Erscheinungstermin: 10. März 2011
- Englisch
- ISBN-13: 9781119993827
- Artikelnr.: 38244167
Barna Szabó is co-founder and president of Engineering Software Research and Development, Inc. (ESRD), the company that produces the professional finite element analysis software StressCheck®. Prior to his retirement from the School of Engineering and Applied Science of Washington University in 2006 he served as the Albert P. and Blanche Y. Greensfelder Professor of Mechanics. His primary research interest is assurance of quality and reliability in the numerical stimulation of structural and mechanical systems by the finite element method. He has published over 150 papers in refereed technical journals. Several of them in collaboration with Professor Ivo BabuSka, with whom he also published a book on finite element analysis (John Wiley & Sons, Inc., 1991). He is a founding member and Fellow of the US Association for Computational Mechanics. Among his honors are election to the Hungarian Academy of Sciences as External Member and an honorary doctorate. Ivo BabuSka's research has been concerned mainly with the reliability of computational analysis of mathematical problems and their applications, especially by the finite element method. He was the first to address a posteriori error estimation and adaptivity in finite element analysis. His research papers on these subjects published in the 1970s have been widely cited. His joint work with Barna Szabó on the p-version of the finite element method established the theoretical foundations and the algorithmic structure for this method. His recent work has been concerned with the mathematical formulation and treatment of uncertainties which are present in every mathematical model. In recognition of his numerous important contributions, Professor BabuSka received may honors, which include honorary doctorates, medals and prizes and election to prestigious academies.
About the Authors. Series Preface. Preface. 1 Introduction. 1.1 Numerical simulation. 1.2 Why is numerical accuracy important? 1.3 Chapter summary. 2 An outline of the finite element method. 2.1 Mathematical models in one dimension. 2.2 Approximate solution. 2.3 Generalized formulation in one dimension. 2.4 Finite element approximations. 2.5 FEM in one dimension. 2.6 Properties of the generalized formulation. 2.7 Error estimation based on extrapolation. 2.8 Extraction methods. 2.9 Laboratory exercises. 2.10 Chapter summary. 3 Formulation of mathematical models. 3.1 Notation. 3.2 Heat conduction. 3.3 The scalar elliptic boundary value problem. 3.4 Linear elasticity. 3.5 Incompressible elastic materials. 3.6 Stokes' flow. 3.7 The hierarchic view of mathematical models. 3.8 Chapter summary. 4 Generalized formulations. 4.1 The scalar elliptic problem. 4.2 The principle of virtual work. 4.3 Elastostatic problems. 4.4 Elastodynamic models. 4.5 Incompressible materials. 4.6 Chapter summary. 5 Finite element spaces. 5.1 Standard elements in two dimensions. 5.2 Standard polynomial spaces. 5.3 Shape functions. 5.4 Mapping functions in two dimensions. 5.5 Elements in three dimensions. 5.6 Integration and differentiation. 5.7 Stiffness matrices and load vectors. 5.8 Chapter summary. 6 Regularity and rates of convergence. 6.1 Regularity. 6.2 Classification. 6.3 The neighborhood of singular points. 6.4 Rates of convergence. 6.5 Chapter summary. 7 Computation and verification of data. 7.1 Computation of the solution and its first derivatives. 7.2 Nodal forces. 7.3 Verification of computed data. 7.4 Flux and stress intensity factors. 7.5 Chapter summary. 8 What should be computed and why? 8.1 Basic assumptions. 8.2 Conceptualization: drivers of damage accumulation. 8.3 Classical models of metal fatigue. 8.4 Linear elastic fracture mechanics. 8.5 On the existence of a critical distance. 8.6 Driving forces for damage accumulation. 8.7 Cycle counting. 8.8 Validation. 8.9 Chapter summary. 9 Beams, plates and shells. 9.1 Beams. 9.2 Plates. 9.3 Shells. 9.4 The Oak Ridge experiments. 9.5 Chapter summary. 10 Nonlinear models. 10.1 Heat conduction. 10.2 Solid mechanics. 10.3 Chapter summary. A Definitions. A.1 Norms and seminorms. A.2 Normed linear spaces. A.3 Linear functionals. A.4 Bilinear forms. A.5 Convergence. A.6 Legendre polynomials. A.7 Analytic functions. A.8 The Schwarz inequality for integrals. B Numerical quadrature. B.1 Gaussian quadrature. B.2 Gauss-Lobatto quadrature. C Properties of the stress tensor. C.1 The traction vector. C.2 Principal stresses. C.3 Transformation of vectors. C.4 Transformation of stresses. D Computation of stress intensity factors. D.1 The contour integral method. D.2 The energy release rate. E Saint-Venant's principle. E.1 Green's function for the Laplace equation. E.2 Model problem. F Solutions for selected exercises. Bibliography. Index.
About the Authors. Series Preface. Preface. 1 Introduction. 1.1 Numerical
simulation. 1.2 Why is numerical accuracy important? 1.3 Chapter summary. 2
An outline of the finite element method. 2.1 Mathematical models in one
dimension. 2.2 Approximate solution. 2.3 Generalized formulation in one
dimension. 2.4 Finite element approximations. 2.5 FEM in one dimension. 2.6
Properties of the generalized formulation. 2.7 Error estimation based on
extrapolation. 2.8 Extraction methods. 2.9 Laboratory exercises. 2.10
Chapter summary. 3 Formulation of mathematical models. 3.1 Notation. 3.2
Heat conduction. 3.3 The scalar elliptic boundary value problem. 3.4 Linear
elasticity. 3.5 Incompressible elastic materials. 3.6 Stokes' flow. 3.7 The
hierarchic view of mathematical models. 3.8 Chapter summary. 4 Generalized
formulations. 4.1 The scalar elliptic problem. 4.2 The principle of virtual
work. 4.3 Elastostatic problems. 4.4 Elastodynamic models. 4.5
Incompressible materials. 4.6 Chapter summary. 5 Finite element spaces. 5.1
Standard elements in two dimensions. 5.2 Standard polynomial spaces. 5.3
Shape functions. 5.4 Mapping functions in two dimensions. 5.5 Elements in
three dimensions. 5.6 Integration and differentiation. 5.7 Stiffness
matrices and load vectors. 5.8 Chapter summary. 6 Regularity and rates of
convergence. 6.1 Regularity. 6.2 Classification. 6.3 The neighborhood of
singular points. 6.4 Rates of convergence. 6.5 Chapter summary. 7
Computation and verification of data. 7.1 Computation of the solution and
its first derivatives. 7.2 Nodal forces. 7.3 Verification of computed data.
7.4 Flux and stress intensity factors. 7.5 Chapter summary. 8 What should
be computed and why? 8.1 Basic assumptions. 8.2 Conceptualization: drivers
of damage accumulation. 8.3 Classical models of metal fatigue. 8.4 Linear
elastic fracture mechanics. 8.5 On the existence of a critical distance.
8.6 Driving forces for damage accumulation. 8.7 Cycle counting. 8.8
Validation. 8.9 Chapter summary. 9 Beams, plates and shells. 9.1 Beams. 9.2
Plates. 9.3 Shells. 9.4 The Oak Ridge experiments. 9.5 Chapter summary. 10
Nonlinear models. 10.1 Heat conduction. 10.2 Solid mechanics. 10.3 Chapter
summary. A Definitions. A.1 Norms and seminorms. A.2 Normed linear spaces.
A.3 Linear functionals. A.4 Bilinear forms. A.5 Convergence. A.6 Legendre
polynomials. A.7 Analytic functions. A.8 The Schwarz inequality for
integrals. B Numerical quadrature. B.1 Gaussian quadrature. B.2
Gauss-Lobatto quadrature. C Properties of the stress tensor. C.1 The
traction vector. C.2 Principal stresses. C.3 Transformation of vectors. C.4
Transformation of stresses. D Computation of stress intensity factors. D.1
The contour integral method. D.2 The energy release rate. E Saint-Venant's
principle. E.1 Green's function for the Laplace equation. E.2 Model
problem. F Solutions for selected exercises. Bibliography. Index.
simulation. 1.2 Why is numerical accuracy important? 1.3 Chapter summary. 2
An outline of the finite element method. 2.1 Mathematical models in one
dimension. 2.2 Approximate solution. 2.3 Generalized formulation in one
dimension. 2.4 Finite element approximations. 2.5 FEM in one dimension. 2.6
Properties of the generalized formulation. 2.7 Error estimation based on
extrapolation. 2.8 Extraction methods. 2.9 Laboratory exercises. 2.10
Chapter summary. 3 Formulation of mathematical models. 3.1 Notation. 3.2
Heat conduction. 3.3 The scalar elliptic boundary value problem. 3.4 Linear
elasticity. 3.5 Incompressible elastic materials. 3.6 Stokes' flow. 3.7 The
hierarchic view of mathematical models. 3.8 Chapter summary. 4 Generalized
formulations. 4.1 The scalar elliptic problem. 4.2 The principle of virtual
work. 4.3 Elastostatic problems. 4.4 Elastodynamic models. 4.5
Incompressible materials. 4.6 Chapter summary. 5 Finite element spaces. 5.1
Standard elements in two dimensions. 5.2 Standard polynomial spaces. 5.3
Shape functions. 5.4 Mapping functions in two dimensions. 5.5 Elements in
three dimensions. 5.6 Integration and differentiation. 5.7 Stiffness
matrices and load vectors. 5.8 Chapter summary. 6 Regularity and rates of
convergence. 6.1 Regularity. 6.2 Classification. 6.3 The neighborhood of
singular points. 6.4 Rates of convergence. 6.5 Chapter summary. 7
Computation and verification of data. 7.1 Computation of the solution and
its first derivatives. 7.2 Nodal forces. 7.3 Verification of computed data.
7.4 Flux and stress intensity factors. 7.5 Chapter summary. 8 What should
be computed and why? 8.1 Basic assumptions. 8.2 Conceptualization: drivers
of damage accumulation. 8.3 Classical models of metal fatigue. 8.4 Linear
elastic fracture mechanics. 8.5 On the existence of a critical distance.
8.6 Driving forces for damage accumulation. 8.7 Cycle counting. 8.8
Validation. 8.9 Chapter summary. 9 Beams, plates and shells. 9.1 Beams. 9.2
Plates. 9.3 Shells. 9.4 The Oak Ridge experiments. 9.5 Chapter summary. 10
Nonlinear models. 10.1 Heat conduction. 10.2 Solid mechanics. 10.3 Chapter
summary. A Definitions. A.1 Norms and seminorms. A.2 Normed linear spaces.
A.3 Linear functionals. A.4 Bilinear forms. A.5 Convergence. A.6 Legendre
polynomials. A.7 Analytic functions. A.8 The Schwarz inequality for
integrals. B Numerical quadrature. B.1 Gaussian quadrature. B.2
Gauss-Lobatto quadrature. C Properties of the stress tensor. C.1 The
traction vector. C.2 Principal stresses. C.3 Transformation of vectors. C.4
Transformation of stresses. D Computation of stress intensity factors. D.1
The contour integral method. D.2 The energy release rate. E Saint-Venant's
principle. E.1 Green's function for the Laplace equation. E.2 Model
problem. F Solutions for selected exercises. Bibliography. Index.
About the Authors. Series Preface. Preface. 1 Introduction. 1.1 Numerical simulation. 1.2 Why is numerical accuracy important? 1.3 Chapter summary. 2 An outline of the finite element method. 2.1 Mathematical models in one dimension. 2.2 Approximate solution. 2.3 Generalized formulation in one dimension. 2.4 Finite element approximations. 2.5 FEM in one dimension. 2.6 Properties of the generalized formulation. 2.7 Error estimation based on extrapolation. 2.8 Extraction methods. 2.9 Laboratory exercises. 2.10 Chapter summary. 3 Formulation of mathematical models. 3.1 Notation. 3.2 Heat conduction. 3.3 The scalar elliptic boundary value problem. 3.4 Linear elasticity. 3.5 Incompressible elastic materials. 3.6 Stokes' flow. 3.7 The hierarchic view of mathematical models. 3.8 Chapter summary. 4 Generalized formulations. 4.1 The scalar elliptic problem. 4.2 The principle of virtual work. 4.3 Elastostatic problems. 4.4 Elastodynamic models. 4.5 Incompressible materials. 4.6 Chapter summary. 5 Finite element spaces. 5.1 Standard elements in two dimensions. 5.2 Standard polynomial spaces. 5.3 Shape functions. 5.4 Mapping functions in two dimensions. 5.5 Elements in three dimensions. 5.6 Integration and differentiation. 5.7 Stiffness matrices and load vectors. 5.8 Chapter summary. 6 Regularity and rates of convergence. 6.1 Regularity. 6.2 Classification. 6.3 The neighborhood of singular points. 6.4 Rates of convergence. 6.5 Chapter summary. 7 Computation and verification of data. 7.1 Computation of the solution and its first derivatives. 7.2 Nodal forces. 7.3 Verification of computed data. 7.4 Flux and stress intensity factors. 7.5 Chapter summary. 8 What should be computed and why? 8.1 Basic assumptions. 8.2 Conceptualization: drivers of damage accumulation. 8.3 Classical models of metal fatigue. 8.4 Linear elastic fracture mechanics. 8.5 On the existence of a critical distance. 8.6 Driving forces for damage accumulation. 8.7 Cycle counting. 8.8 Validation. 8.9 Chapter summary. 9 Beams, plates and shells. 9.1 Beams. 9.2 Plates. 9.3 Shells. 9.4 The Oak Ridge experiments. 9.5 Chapter summary. 10 Nonlinear models. 10.1 Heat conduction. 10.2 Solid mechanics. 10.3 Chapter summary. A Definitions. A.1 Norms and seminorms. A.2 Normed linear spaces. A.3 Linear functionals. A.4 Bilinear forms. A.5 Convergence. A.6 Legendre polynomials. A.7 Analytic functions. A.8 The Schwarz inequality for integrals. B Numerical quadrature. B.1 Gaussian quadrature. B.2 Gauss-Lobatto quadrature. C Properties of the stress tensor. C.1 The traction vector. C.2 Principal stresses. C.3 Transformation of vectors. C.4 Transformation of stresses. D Computation of stress intensity factors. D.1 The contour integral method. D.2 The energy release rate. E Saint-Venant's principle. E.1 Green's function for the Laplace equation. E.2 Model problem. F Solutions for selected exercises. Bibliography. Index.
About the Authors. Series Preface. Preface. 1 Introduction. 1.1 Numerical
simulation. 1.2 Why is numerical accuracy important? 1.3 Chapter summary. 2
An outline of the finite element method. 2.1 Mathematical models in one
dimension. 2.2 Approximate solution. 2.3 Generalized formulation in one
dimension. 2.4 Finite element approximations. 2.5 FEM in one dimension. 2.6
Properties of the generalized formulation. 2.7 Error estimation based on
extrapolation. 2.8 Extraction methods. 2.9 Laboratory exercises. 2.10
Chapter summary. 3 Formulation of mathematical models. 3.1 Notation. 3.2
Heat conduction. 3.3 The scalar elliptic boundary value problem. 3.4 Linear
elasticity. 3.5 Incompressible elastic materials. 3.6 Stokes' flow. 3.7 The
hierarchic view of mathematical models. 3.8 Chapter summary. 4 Generalized
formulations. 4.1 The scalar elliptic problem. 4.2 The principle of virtual
work. 4.3 Elastostatic problems. 4.4 Elastodynamic models. 4.5
Incompressible materials. 4.6 Chapter summary. 5 Finite element spaces. 5.1
Standard elements in two dimensions. 5.2 Standard polynomial spaces. 5.3
Shape functions. 5.4 Mapping functions in two dimensions. 5.5 Elements in
three dimensions. 5.6 Integration and differentiation. 5.7 Stiffness
matrices and load vectors. 5.8 Chapter summary. 6 Regularity and rates of
convergence. 6.1 Regularity. 6.2 Classification. 6.3 The neighborhood of
singular points. 6.4 Rates of convergence. 6.5 Chapter summary. 7
Computation and verification of data. 7.1 Computation of the solution and
its first derivatives. 7.2 Nodal forces. 7.3 Verification of computed data.
7.4 Flux and stress intensity factors. 7.5 Chapter summary. 8 What should
be computed and why? 8.1 Basic assumptions. 8.2 Conceptualization: drivers
of damage accumulation. 8.3 Classical models of metal fatigue. 8.4 Linear
elastic fracture mechanics. 8.5 On the existence of a critical distance.
8.6 Driving forces for damage accumulation. 8.7 Cycle counting. 8.8
Validation. 8.9 Chapter summary. 9 Beams, plates and shells. 9.1 Beams. 9.2
Plates. 9.3 Shells. 9.4 The Oak Ridge experiments. 9.5 Chapter summary. 10
Nonlinear models. 10.1 Heat conduction. 10.2 Solid mechanics. 10.3 Chapter
summary. A Definitions. A.1 Norms and seminorms. A.2 Normed linear spaces.
A.3 Linear functionals. A.4 Bilinear forms. A.5 Convergence. A.6 Legendre
polynomials. A.7 Analytic functions. A.8 The Schwarz inequality for
integrals. B Numerical quadrature. B.1 Gaussian quadrature. B.2
Gauss-Lobatto quadrature. C Properties of the stress tensor. C.1 The
traction vector. C.2 Principal stresses. C.3 Transformation of vectors. C.4
Transformation of stresses. D Computation of stress intensity factors. D.1
The contour integral method. D.2 The energy release rate. E Saint-Venant's
principle. E.1 Green's function for the Laplace equation. E.2 Model
problem. F Solutions for selected exercises. Bibliography. Index.
simulation. 1.2 Why is numerical accuracy important? 1.3 Chapter summary. 2
An outline of the finite element method. 2.1 Mathematical models in one
dimension. 2.2 Approximate solution. 2.3 Generalized formulation in one
dimension. 2.4 Finite element approximations. 2.5 FEM in one dimension. 2.6
Properties of the generalized formulation. 2.7 Error estimation based on
extrapolation. 2.8 Extraction methods. 2.9 Laboratory exercises. 2.10
Chapter summary. 3 Formulation of mathematical models. 3.1 Notation. 3.2
Heat conduction. 3.3 The scalar elliptic boundary value problem. 3.4 Linear
elasticity. 3.5 Incompressible elastic materials. 3.6 Stokes' flow. 3.7 The
hierarchic view of mathematical models. 3.8 Chapter summary. 4 Generalized
formulations. 4.1 The scalar elliptic problem. 4.2 The principle of virtual
work. 4.3 Elastostatic problems. 4.4 Elastodynamic models. 4.5
Incompressible materials. 4.6 Chapter summary. 5 Finite element spaces. 5.1
Standard elements in two dimensions. 5.2 Standard polynomial spaces. 5.3
Shape functions. 5.4 Mapping functions in two dimensions. 5.5 Elements in
three dimensions. 5.6 Integration and differentiation. 5.7 Stiffness
matrices and load vectors. 5.8 Chapter summary. 6 Regularity and rates of
convergence. 6.1 Regularity. 6.2 Classification. 6.3 The neighborhood of
singular points. 6.4 Rates of convergence. 6.5 Chapter summary. 7
Computation and verification of data. 7.1 Computation of the solution and
its first derivatives. 7.2 Nodal forces. 7.3 Verification of computed data.
7.4 Flux and stress intensity factors. 7.5 Chapter summary. 8 What should
be computed and why? 8.1 Basic assumptions. 8.2 Conceptualization: drivers
of damage accumulation. 8.3 Classical models of metal fatigue. 8.4 Linear
elastic fracture mechanics. 8.5 On the existence of a critical distance.
8.6 Driving forces for damage accumulation. 8.7 Cycle counting. 8.8
Validation. 8.9 Chapter summary. 9 Beams, plates and shells. 9.1 Beams. 9.2
Plates. 9.3 Shells. 9.4 The Oak Ridge experiments. 9.5 Chapter summary. 10
Nonlinear models. 10.1 Heat conduction. 10.2 Solid mechanics. 10.3 Chapter
summary. A Definitions. A.1 Norms and seminorms. A.2 Normed linear spaces.
A.3 Linear functionals. A.4 Bilinear forms. A.5 Convergence. A.6 Legendre
polynomials. A.7 Analytic functions. A.8 The Schwarz inequality for
integrals. B Numerical quadrature. B.1 Gaussian quadrature. B.2
Gauss-Lobatto quadrature. C Properties of the stress tensor. C.1 The
traction vector. C.2 Principal stresses. C.3 Transformation of vectors. C.4
Transformation of stresses. D Computation of stress intensity factors. D.1
The contour integral method. D.2 The energy release rate. E Saint-Venant's
principle. E.1 Green's function for the Laplace equation. E.2 Model
problem. F Solutions for selected exercises. Bibliography. Index.