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A response band-based method for time-dependent reliability-based robust design optimization

Author

Listed:
  • Li Lu
  • Yizhong Wu
  • Qi Zhang
  • Zhehao Xia
  • Ping Qiao

Abstract

In this paper, a response band-based method for time-dependent reliability-based robust design optimization is proposed. The proposed method provides a novel alternative framework, consist of a two-step transformation stage and a solving stage, to solve the time-dependent reliability-based robust design optimization problem. The original time-dependent reliability-based robust design optimization problem is transformed into an equivalent deterministic robust design optimization problem in the transformation stage, and the equivalent problem is settled in the solving stage. In the transformation stage, the dynamic modal decomposition technique and the kriging technique are combined to overcome the problem that there is no standard for both time division and observation sampling in the commonly used transformation methods. In the solving stage, an approach for constructing the response band of the objective function is presented, which significantly reduces the computational consumption of the variation evaluation of the objective function. Five cases are employed to verify the effectiveness of the proposed method.

Suggested Citation

  • Li Lu & Yizhong Wu & Qi Zhang & Zhehao Xia & Ping Qiao, 2024. "A response band-based method for time-dependent reliability-based robust design optimization," Journal of Risk and Reliability, , vol. 238(3), pages 559-577, June.
    • Handle: RePEc:sae:risrel:v:238:y:2024:i:3:p:559-577
    DOI: 10.1177/1748006X231162127
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    References listed on IDEAS

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    1. Zhang, Xiaobo & Lu, Zhenzhou & Cheng, Kai, 2021. "Reliability index function approximation based on adaptive double-loop Kriging for reliability-based design optimization," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    2. Li, Yaohui & Shi, Junjun & Cen, Hui & Shen, Jingfang & Chao, Yanpu, 2021. "A kriging-based adaptive global optimization method with generalized expected improvement and its application in numerical simulation and crop evapotranspiration," Agricultural Water Management, Elsevier, vol. 245(C).
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