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 (<a href="[external URL]
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.
3.2 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.
6.3 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.
8.9 Chapter summary.
9 Beams, plates and 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.1 Norms and seminorms.
A.2 Normed linear spaces.
A.3 Linear functionals.
A.4 Bilinear forms.
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.