Computational Technology Resources - CSETS

G.I. Schuëller

Institute of Engineering Mechanics, Leopold-Franzens University, Innsbruck, Austria

doi:10.4203/csets.3.15

G.I. Schuëller, "Recent Developments in Structural Computational Stochastic Mechanics", in B.H.V. Topping, (Editor), "Computational Mechanics for the Twenty-First Century", Saxe-Coburg Publications, Stirlingshire, UK, Chapter 15, pp 281-310, 2000. doi:10.4203/csets.3.15

Abstract

In this lecture some of the most recent developments of importance within the field of computational stochastic structural mechanics and analysis are discussed. These concepts allow a rational treatment of statistical uncertainties involved in structural analysis and design. Particular emphasis is put on the improvement of the computational efficiency. Selected subject areas, such as Monte Carlo simulation techniques, nonlinear stochastic dynamics, random eigen-value problems and stochastic finite elements are treated in detail.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Computational Science, Engineering & Technology Series ISSN 1759-3158 CSETS: 3 COMPUTATIONAL MECHANICS FOR THE TWENTY-FIRST CENTURY Edited by: B.H.V. Topping Chapter 15 Recent Developments in Structural Computational Stochastic Mechanics G.I. Schuëller Institute of Engineering Mechanics, Leopold-Franzens University, Innsbruck, Austria doi:10.4203/csets.3.15 purchase the full-text of this chapter Full Bibliographic Reference for this chapter G.I. Schuëller, "Recent Developments in Structural Computational Stochastic Mechanics", in B.H.V. Topping, (Editor), "Computational Mechanics for the Twenty-First Century", Saxe-Coburg Publications, Stirlingshire, UK, Chapter 15, pp 281-310, 2000. doi:10.4203/csets.3.15 Abstract In this lecture some of the most recent developments of importance within the field of computational stochastic structural mechanics and analysis are discussed. These concepts allow a rational treatment of statistical uncertainties involved in structural analysis and design. Particular emphasis is put on the improvement of the computational efficiency. Selected subject areas, such as Monte Carlo simulation techniques, nonlinear stochastic dynamics, random eigen-value problems and stochastic finite elements are treated in detail. purchase the full-text of this chapter (price £20) go to the previous chapter go to the next chapter return to the table of contents return to the book description purchase this book (price £138 +P&P)
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