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Structural and Multidisciplinary Optimization
Erschienen in: Structural and Multidisciplinary Optimization 4/2018

04.10.2017 | RESEARCH PAPER

Time-dependent concurrent reliability-based design optimization integrating experiment-based model validation

verfasst von: Zhonglai Wang, Xiaowen Cheng, Jing Liu

Erschienen in: Structural and Multidisciplinary Optimization | Ausgabe 4/2018

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Abstract

This paper presents new time-dependent concurrent reliability-based design optimization methods for improving the confidence of design results with reduced experimental cost and increased computational efficiency. The sensitive time-dependent design parameters are first selected through the developed functional Analysis of Variance. The sensitive design parameters are then validated by constructing the experimental error function based on experimental data, and the function of the mean between experiments and computer models. The sub-domains are next determined, and the time-dependent concurrent reliability-based design optimization is finally constructed and solved based on the MCS method. A case study is used to illustrate and testify our proposed methods.
Vorheriger Artikel A novel technique for the design of hybrid composite laminates based on dynamic programming and dynamic tree trimming
Nächster Artikel Structural optimization oriented time-dependent reliability methodology under static and dynamic uncertainties

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Metadaten
Titel
Time-dependent concurrent reliability-based design optimization integrating experiment-based model validation
verfasst von
Zhonglai Wang
Xiaowen Cheng
Jing Liu
Publikationsdatum
04.10.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Structural and Multidisciplinary Optimization / Ausgabe 4/2018
Print ISSN: 1615-147X
Elektronische ISSN: 1615-1488
DOI
https://doi.org/10.1007/s00158-017-1823-0

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