The Stochastic Perturbation Method for Computational Mechanics

Stochastic Perturbation Method in Applied Sciences and Engineering is devoted to the theoretical aspects and computational implementation of the generalized stochastic perturbation technique. It is based on any order Taylor expansions of random variables and enables for determination of up to fourth order probabilistic moments and characteristics of the physical system response.

Key features:

• Provides a grounding in the basic elements of statistics and probability and reliability engineering
• Describes the Stochastic Finite, Boundary Element and Finite Difference Methods, formulated according to the perturbation method
• Demonstrates dual computational implementation of the perturbation method with the use of Direct Differentiation Method and the Response Function Method
• Accompanied by a website (www.wiley.com/go/kaminski) with supporting stochastic numerical software
• Covers the computational implementation of the homogenization method for periodic composites with random and stochastic material properties
• Features case studies, numerical examples and practical applications

Stochastic Perturbation Method in Applied Sciences and Engineering is a comprehensive reference for researchers and engineers, and is an ideal introduction to the subject for postgraduate and graduate students.

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.