The Stochastic Perturbation Method for Computational Mechanics - Rilegato

Kaminski, Marcin

Rilegato

ISBN 10: 0470770821 ISBN 13: 9780470770825

Casa editrice: John Wiley & Sons Inc, 2013

Riassunto

Probabilistic analysis is increasing in popularity and importance within engineering and the applied sciences. However, the stochastic perturbation technique is a fairly recent development and therefore remains as yet unknown to many students, researchers and engineers. Fields in which the methodology can be applied are widespread, including various branches of engineering, heat transfer and statistical mechanics, reliability assessment and also financial investments or economical prognosis in analytical and computational contexts.

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.

Su questo libro

Informazioni sull?autore

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.

Dalla quarta di copertina

Probabilistic analysis is increasing in popularity and importance within engineering and the applied sciences. However, the stochastic perturbation technique is a fairly recent development and therefore remains as yet unknown to many students, researchers and engineers. Fields in which the methodology can be applied are widespread, including various branches of engineering, heat transfer and statistical mechanics, reliability assessment and also financial investments or economical prognosis in analytical and computational contexts.

The Stochastic Perturbation Method for Computational Mechanics 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
• 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
• Accompanied by a website (www.wiley.com/go/kaminski) with supporting stochastic numerical software

The Stochastic Perturbation Method for Computational Mechanics is a comprehensive reference for researchers and engineers, and is an ideal introduction to the subject for Ph.D and graduate students.

Dal risvolto di copertina interno

Probabilistic analysis is increasing in popularity and importance within engineering and the applied sciences. However, the stochastic perturbation technique is a fairly recent development and therefore remains as yet unknown to many students, researchers and engineers. Fields in which the methodology can be applied are widespread, including various branches of engineering, heat transfer and statistical mechanics, reliability assessment and also financial investments or economical prognosis in analytical and computational contexts.
 
The Stochastic Perturbation Method for Computational Mechanics 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
* 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
* Accompanied by a website (www.wiley.com/go/kaminski) with supporting stochastic numerical software
 
The Stochastic Perturbation Method for Computational Mechanics is a comprehensive reference for researchers and engineers, and is an ideal introduction to the subject for Ph.D and graduate students.

Dettagli dell'edizione

• Editore: John Wiley & Sons Inc
• Data di pubblicazione: 2013
• Lingua: Inglese
• ISBN 10: 0470770821
• ISBN 13: 9780470770825
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 330
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile