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A hierarchical surrogate-based strategy for reliability-based design optimization

机译:基于分层代理的策略,用于基于可靠性的设计优化

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摘要

Reliability-based design optimization has received much attention in the last decade since it allows one to combine design optimization techniques with probabilistic performance criteria that take into account the unavoidable uncertainties inherent to engineering. From an industrial point of view though, this approach is still not applicable because the proposed resolution schemes rely upon simplifying assumptions (e.g. the first-order reliability method) that might not hold in practice; or in constrast, they require a large number of simulation runs (e.g. simulation-based reliability methods) which is not compatible with the time-consuming models used in the industry. This latter reason motivated the emergence of surrogate-based strategies. Surrogate models are analytical functions that are much faster to evaluate than the original model (e.g. a finite element model). They are usually built from a set of evaluations of the original model that is called a design of experiments. This paper makes use of a probabilistic surrogate known as kriging and proposes an adaptive refinement technique that gradually builds the design of experiments according to the required accuracy. This technique is then encapsulated in a nested reliability-based design optimization loop where the optimizer performs simulation-based reliability and reliability sensitivity analyses. For the sake of efficiency, the simulation technique that is used here is a variance reduction technique known as subset simulation.
机译:在过去的十年中,基于可靠性的设计优化受到了广泛的关注,因为它使人们能够将设计优化技术与概率性能标准相结合,并考虑到工程学不可避免的不确定性。但是从工业角度来看,该方法仍然不适用,因为建议的解决方案依赖于简化的假设(例如一阶可靠性方法),而这些假设在实践中可能不成立。或相反,它们需要大量的仿真运行(例如,基于仿真的可靠性方法),这与行业中使用的耗时的模型不兼容。后一个原因促使出现了基于代理的策略。替代模型是分析函数,比原始模型(例如,有限元模型)进行评估要快得多。它们通常是根据对原始模型的一组评估(称为实验设计)构建的。本文利用称为kriging的概率替代技术,提出了一种自适应细化技术,该技术根据所需的精度逐步构建实验设计。然后将该技术封装在基于嵌套的可靠性的设计优化循环中,在该循环中,优化器执行基于仿真的可靠性和可靠性灵敏度分析。为了提高效率,此处使用的仿真技术是称为子集仿真的方差减少技术。

著录项

  • 来源
  • 会议地点 Munchen(DE)
  • 作者单位

    Clermont Universite, IFMA, Laboratoire de Mecanique et Ingenieries, BP, Clermont-Ferrand, France Phimeca Engineering, Centre d'Affaires du Zenith, Cournon d'Auvergne, France;

    Clermont Universite, IFMA, Laboratoire de Mecanique et Ingenieries, BP, Clermont-Ferrand, France;

    Clermont Universite, IFMA, Laboratoire de Mecanique et Ingenieries, BP, Clermont-Ferrand, France Phimeca Engineering, Centre d'Affaires du Zenith, Cournon d'Auvergne, France;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 系统工程;
  • 关键词

  • 入库时间 2022-08-26 14:23:16

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