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首页> 外文期刊>Engineering with Computers >A hybrid sufficient performance measure approach to improve robustness and efficiency of reliability-based design optimization
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A hybrid sufficient performance measure approach to improve robustness and efficiency of reliability-based design optimization

机译：一种杂交的充分性能测量方法，提高基于可靠性的设计优化的鲁棒性和效率

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摘要

The stable convergence and efficiency of reliability-based design optimization (RBDO) using performance measure approach (PMA) are the major issue to develop the reliability methods based on modified chaos control (MCC), hybrid chaos control (HCC) and finite-step length adjustment (FSL). However, these methods may be inefficient for RBDO problems with con-vex and concave probabilistic constraints. In this paper, an adaptive modified chaos control (AMC) is proposed to provide the robust and efficient results in RBDO. The proposed AMC is adjusted using dynamical chaos control factor, which is extracted using sufficient descent condition for PMA. Using sufficient criterion, the proposed AMC is adaptively combined with advanced mean value (AMV) to improve the performance of PMA, named as hybrid adaptive modified chaos control (HAMC). Considering the robustness and efficiency, the proposed HAMC is compared with several existing reliability methods by three nonlinear structural/mathematical performance functions and two RBDO problems. The results indicate that the proposed HAMC with sufficient descent condition provides superior convergences in terms of both robustness and efficiency, compared to existing PMA methods using AMV, MCC, HCC and FSL.
机译：基于可靠性的设计优化（RBDO）使用性能测量方法（PMA）的稳定收敛性和效率是开发基于改进的混沌控制（MCC），混合混沌控制（HCC）和有限步长的可靠性方法的主要问题调整（FSL）。然而，这些方法对于Con-VEX和凹形概率约束的RBDO问题可能是低效的。本文提出了一种自适应修改的混沌控制（AMC），以提供RBDO的稳健和有效的结果。使用动态混沌控制因子调整所提出的AMC，其使用足够的PMA缩小条件提取。使用足够的标准，所提出的AMC与先进的平均值（AMV）自适应地结合，以改善PMA的性能，命名为混合自适应修改混沌控制（HAMC）。考虑到稳健性和效率，所提出的HAMC将通过三个非线性结构/数学性能功能和两个RBDO问题进行比较了几种现有的可靠性方法。结果表明，由于使用AMV，MCC，HCC和FSL的现有PMA方法，所提出的HAMC具有足够的下降条件的鲁棒性和效率方面提供了卓越的收敛。

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  • 来源
    《Engineering with Computers》 |2021年第3期|1695-1708|共14页
  • 作者

    Behrooz Keshtegar; Debiao Meng; Mohamed El Amine Ben Seghier; Mi Xiao; Nguyen-Thoi Trung; Dieu Tien Bui;

  • 作者单位

    Division of Computational Mathematics and Engineering Institute for Computational Science Ton Due Thang University Ho Chi Minh City Vietnam Faculty of Civil Engineering Ton Due Thang University Ho Chi Minh City Vietnam;

    School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu 611731 China;

    Division of Computational Mathematics and Engineering Institute for Computational Science Ton Due Thang University Ho Chi Minh City Vietnam Faculty of Civil Engineering Ton Due Thang University Ho Chi Minh City Vietnam;

    State Key Laboratory of Digital Manufacturing Equipment and Technology Huazhong University of Science and Technology Wuhan 430074 China;

    Division of Computational Mathematics and Engineering Institute for Computational Science Ton Due Thang University Ho Chi Minh City Vietnam Faculty of Civil Engineering Ton Due Thang University Ho Chi Minh City Vietnam;

    Institute of Research and Development Duy Tan University Da Nang 550000 Vietnam;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Reliability-based design optimization; Sufficient criterion; Hybrid adaptive; modified chaos control; Performance measure approach;

    机译：基于可靠性的设计优化;足够的标准;混合自适应;改性混沌控制;绩效措施方法;

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