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Structural and Multidisciplinary Optimization

Erschienen in:

31.05.2017 | RESEARCH PAPER

Novel numerical methods for reliability analysis and optimization in engineering fuzzy heat conduction problem

verfasst von: Chong Wang, Zhiping Qiu, Menghui Xu, Yunlong Li

Erschienen in: Structural and Multidisciplinary Optimization | Ausgabe 6/2017

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Abstract

Engineering fuzzy heat conduction problem with subjective uncertainties in input parameters constitutes a significant challenge. Based on fuzzy and interval theory, this paper presents novel numerical methods to efficiently identify the effect of fuzzy uncertainty on the system reliability analysis and optimization design. Firstly using the interval ranking strategy, the interval safety possibility in the transition state can be precisely quantified, and the eventual fuzzy safety possibility is calculated by integral operation. Then a fuzzy reliability-based optimization model is established with considerable computational cost caused by the two-layer nested loop. In order to improve the computational efficiency, a subinterval perturbation method based on the first-order Taylor series is presented to replace the inner loop. Comparing numerical results with traditional reliability model, two numerical examples are provided to evidence the superiority of proposed model and method for fuzzy reliability analysis and optimization in practical engineering.

Vorheriger Artikel Synthesis of tensegrity structures of desired shape using constrained minimization

Nächster Artikel Microstructural topology optimization of structural-acoustic coupled systems for minimizing sound pressure level

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Titel: Novel numerical methods for reliability analysis and optimization in engineering fuzzy heat conduction problem
verfasst von: Chong Wang
Zhiping Qiu
Menghui Xu
Yunlong Li
Publikationsdatum: 31.05.2017
Verlag: Springer Berlin Heidelberg
Erschienen in: Structural and Multidisciplinary Optimization / Ausgabe 6/2017
Print ISSN: 1615-147X
Elektronische ISSN: 1615-1488
DOI: https://doi.org/10.1007/s00158-017-1717-1

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