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Engineering with Computers
Erschienen in: Engineering with Computers 4/2018

24.11.2017 | Original Article

Adaptive stability transformation method of chaos control for first order reliability method

verfasst von: Zeng Meng, Yuxue Pu, Huanli Zhou

Erschienen in: Engineering with Computers | Ausgabe 4/2018

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Abstract

The efficiency and robustness are two key performance indexes for first-order reliability method (FORM). In this study, two different algorithms, including the adaptive stability transformation method (ASTM) and enhanced adaptive stability transformation method (EASTM), are proposed to improve the efficiency and robustness of FORM. In both ASTM and EASTM, the computation of most probable failure point (MPFP) is converted to find a series of most probable target points (MPTPs), in which the chaos control factor is properly selected by proposing two different algorithms. Four benchmark examples with normal and non-normal random variables and one practical engineering application example are tested to verify the effectiveness of the proposed algorithms. The results illustrate that the proposed algorithms not only are more efficient than other advanced FORM algorithms, but also are very robust.
Vorheriger Artikel Optimizing triangular high-order surface meshes by energy-minimization
Nächster Artikel Improved GWO algorithm for optimal design of truss structures

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Metadaten
Titel
Adaptive stability transformation method of chaos control for first order reliability method
verfasst von
Zeng Meng
Yuxue Pu
Huanli Zhou
Publikationsdatum
24.11.2017
Verlag
Springer London
Erschienen in
Engineering with Computers / Ausgabe 4/2018
Print ISSN: 0177-0667
Elektronische ISSN: 1435-5663
DOI
https://doi.org/10.1007/s00366-017-0566-2

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