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Structural and Multidisciplinary Optimization
Erschienen in: Structural and Multidisciplinary Optimization 2/2016

17.03.2016 | EDUCATIONAL ARTICLE

Matlab codes of Subset Simulation for reliability analysis and structural optimization

verfasst von: Hong-Shuang Li, Zi-Jun Cao

Erschienen in: Structural and Multidisciplinary Optimization | Ausgabe 2/2016

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Abstract

This paper presents two efficient and compact Matlab codes of Subset Simulation for reliability analysis and structural optimization. The codes for reliability analysis and structural optimization comprise of the direct Monte Carlo and Markov Chain Monte Carlo. The theoretical and numerical elements of Subset Simulation are briefly presented in this paper, as well as the detailed instructions to implement the standard codes for solving reliability analysis and structural optimization problems. The paper also discusses simple extensions of argument check, post-processing, alternative stop criterion and constraint-handling. Four examples are presented to demonstrate these codes, two for reliability analysis and two for structural optimization. This paper will be helpful for the students and newcomers both in reliability analysis and structural optimization to understand and use Subset Simulation. The complete codes are included in Appendixes 1 and 2, and they can be downloaded from https://​sites.​google.​com/​site/​rasosubsim/​.
Vorheriger Artikel Finite element analysis and topology optimization of a 12000KN fine blanking press frame

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Metadaten
Titel
Matlab codes of Subset Simulation for reliability analysis and structural optimization
verfasst von
Hong-Shuang Li
Zi-Jun Cao
Publikationsdatum
17.03.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
Structural and Multidisciplinary Optimization / Ausgabe 2/2016
Print ISSN: 1615-147X
Elektronische ISSN: 1615-1488
DOI
https://doi.org/10.1007/s00158-016-1414-5

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