The Stochastic Perturbation Method for Computational Mechanics (ePub)

Introduction 3 1. Mathematical considerations 14 1.1. Stochastic perturbation technique basis 14 1.2. Least squares technique description 34 1.3. Time series analysis 47 2. The Stochastic Finite Element Method (SFEM) 73 2.1. Governing equations and variational formulation 73 2.1.1. Linear potential problems 73 2.1.2. Linear elastostatics 75 2.1.3. Nonlinear elasticity problems 78 2.1.4. Variational equations of elastodynamics 79 2.1.5. Transient analysis of the heat transfer 80 2.1.6. Thermo-piezoelectricity governing equations 82 2.1.7. Navier-Stokes equations 86 2.2. Stochastic Finite Element Method equations 89 2.2.1. Linear potential problems 89 2.2.2. Linear elastostatics 91 2.2.3. Nonlinear elasticity problems 94 2.2.4. SFEM in elastodynamics 98 2.2.5. Transient analysis of the heat transfer 101 2.2.6. Coupled thermo-piezoelectrostatics SFEM equations 105 2.2.7. Navier-Stokes perturbation-based equations 107 2.3. Computational illustrations 109 2.3.1. Linear potential problems 109 2.3.1.1. 1D fluid flow with random viscosity 109 2.3.1.2. 2D potential problem by the response function 114 2.3.2. Linear elasticity 118 2.3.2.1. Simple extended bar with random stiffness 118 2.3.2.2. Elastic stability analysis of the steel telecommunication tower 123 2.3.3. Nonlinear elasticity problems 129 2.3.4. Stochastic vibrations of the elastic structures 133 2.3.4.1. Forced vibrations with random parameters for a simple 2 d.o.f. system 133 2.3.4.2. Eigenvibrations of the steel telecommunication tower with random stiffness 138 2.3.5. Transient analysis of the heat transfer 140 2.3.5.1. Heat conduction in the statistically homogeneous rod 140 2.3.5.2. Transient heat transfer analysis by the RFM 145 3. The Stochastic Boundary Element Method (SBEM) 152 3.1. Deterministic formulation of the Boundary Element Method 151 3.2. Stochastic generalized perturbation approach to the BEM 156 3.3. The Response Function Method into the SBEM equations 158 3.4. Computational experiments 162 4.

Marcin Kaminski is a professor within the Faculty of Civil Engineering, Architecture and Environmental Engineering at the Technical University of Lodz, Poland. Having obtained a PhD in the field of stochastic finite elements in 1997 he has continued his research work in the area, winning the John Argyris award in computational mechanics of solids and fluids in 2001 at ECCOMAS. He currently lectures in the stochastic perturbation method at Lodz. His monograph Computational Mechanics of Composite Materials: Sensitivity, Randomness and Multiscale Behaviour was published in 2002 by Springer, and he has authored over 150 research papers.

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