An efficient method for reliability-based design optimization of structures under random excitation by mapping between reliability and operator norm

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

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Externe Organisationen

  • Changsha University of Science and Technology
  • The University of Liverpool
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Details

OriginalspracheEnglisch
Aufsatznummer109972
Seitenumfang12
FachzeitschriftReliability Engineering and System Safety
Jahrgang245
Frühes Online-Datum1 Feb. 2024
PublikationsstatusVeröffentlicht - Mai 2024

Abstract

Reliability-based design optimization (RBDO) can fulfill both reliability and economic requirements by considering the stochastic properties of structure and excitation. However, the computational efficiency of this optimization is hindered by the nested loops involved in reliability analysis and optimization processes. In order to overcome this limitation, a novel method is proposed for structures subjected to random excitation, which is based on the mapping between operator norm and reliability index. This approach necessitates effectuating the transformation of the optimization objective from reliability indexes to operator norms with a small number of samples, thereby eliminating the laborious process of nested loops. It can effectively solve design optimization problems with reliability constraints, particularly for structures with explicit structural response under random excitation. Four examples are presented to demonstrate the effectiveness and applicability of the proposed method.

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An efficient method for reliability-based design optimization of structures under random excitation by mapping between reliability and operator norm. / Jiang, Youbao; Zhang, Xuyang; Beer, Michael et al.
in: Reliability Engineering and System Safety, Jahrgang 245, 109972, 05.2024.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

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keywords = "Dynamic reliability, Function fitting, Operator norm, Random excitation, Reliability-based design optimization",
author = "Youbao Jiang and Xuyang Zhang and Michael Beer and Hao Zhou and Yu Leng",
note = "Funding Information: The research is supported by the Provincial Natural Science Foundation of Hunan, China (Grant No.2022JJ10050), and the National Natural Science Foundation of China (Grant No.52378126), and the Provincial Natural Science Foundation of Hunan, China (Grant No.2023JJ40036). ",
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T1 - An efficient method for reliability-based design optimization of structures under random excitation by mapping between reliability and operator norm

AU - Jiang, Youbao

AU - Zhang, Xuyang

AU - Beer, Michael

AU - Zhou, Hao

AU - Leng, Yu

N1 - Funding Information: The research is supported by the Provincial Natural Science Foundation of Hunan, China (Grant No.2022JJ10050), and the National Natural Science Foundation of China (Grant No.52378126), and the Provincial Natural Science Foundation of Hunan, China (Grant No.2023JJ40036).

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N2 - Reliability-based design optimization (RBDO) can fulfill both reliability and economic requirements by considering the stochastic properties of structure and excitation. However, the computational efficiency of this optimization is hindered by the nested loops involved in reliability analysis and optimization processes. In order to overcome this limitation, a novel method is proposed for structures subjected to random excitation, which is based on the mapping between operator norm and reliability index. This approach necessitates effectuating the transformation of the optimization objective from reliability indexes to operator norms with a small number of samples, thereby eliminating the laborious process of nested loops. It can effectively solve design optimization problems with reliability constraints, particularly for structures with explicit structural response under random excitation. Four examples are presented to demonstrate the effectiveness and applicability of the proposed method.

AB - Reliability-based design optimization (RBDO) can fulfill both reliability and economic requirements by considering the stochastic properties of structure and excitation. However, the computational efficiency of this optimization is hindered by the nested loops involved in reliability analysis and optimization processes. In order to overcome this limitation, a novel method is proposed for structures subjected to random excitation, which is based on the mapping between operator norm and reliability index. This approach necessitates effectuating the transformation of the optimization objective from reliability indexes to operator norms with a small number of samples, thereby eliminating the laborious process of nested loops. It can effectively solve design optimization problems with reliability constraints, particularly for structures with explicit structural response under random excitation. Four examples are presented to demonstrate the effectiveness and applicability of the proposed method.

KW - Dynamic reliability

KW - Function fitting

KW - Operator norm

KW - Random excitation

KW - Reliability-based design optimization

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