1 INTRODUCTION |
1.1 Motivation |
1.2 Review of Available Techniques |
1.3 The Mathematical Model |
1.4 Outline |
2 REPRESENTATION OF STOCHASTIC PROCESSES |
2.1 Preliminary Remarks |
2.2 Review of the Theory |
2.3 Karhunen-Loeve Expansion |
2.3.1 Derivation |
2.3.2 Properties |
2.3.3 Solution of the Integral Equation |
2.4 Homogeneous Chaos |
2.4.1 Preliminary Remarks |
2.4.2 Definitions and Properties |
2.4.3 Construction of the Polynomial Chaos |
3 SFEM: Response Representation |
3.1 Preliminary Remarks |
3.2 Deterministic Finite Elements |
3.2.1 Problem Definition |
3.2.2 Variational Approach |
3.2.3 Galerkin Approach |
3.2.4 "p-Adaptive Methods, Spectral Methods and Hierarchical Finite Element Bases" |
3.3 Stochastic Finite Elements |
3.3.1 Preliminary Remarks |
3.3.2 Monte Carlo Simulation (MCS) |
3.3.3 Perturbation Method |
3.3.4 Neumann Expansion Method |
3.3.5 Improved Neumann Expansion |
3.3.6 Projection on the Homogeneous Chaos |
3.3.7 Geometrical and Variational Extensions |
4 SFEM: Response Statistics |
4.1 Reliability Theory Background |
4.2 Statistical Moments |
4.2.1 Moments and Cummulants Equations |
4.2.2 Second Order Statistics |
4.3 Approximation to the Probability Distribution |
4.4 Reliability Index and Response Surface Simulation |
5 NUMERICAL EXAMPLES |
5.1 Preliminary Remarks |
5.2 One Dimensional Static Problem |
5.2.1 Formulation |
5.2.2 Results |
5.3 Two Dimensional Static Problem |
5.3.1 Formulation |
5.3.2 Results |
5.4 One Dimensional Dynamic Problem |
5.4.1 Description of the Problem |
5.4.2 Implementation |
5.4.3 Results |
6 SUMMARY AND CONCLUDING REMARKS |
6.1 SUMMARY AND CONCLUDING REMARKS |
BIBLIOGRAPHY |
ADDITIONAL REFERENCES |
INDEX |