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An efficient dominant failure modes search strategy and an extended sequential compounding method of system reliability analysis and optimization

机译:有效的主导故障模式搜索策略和系统可靠性分析和优化的扩展顺序复合方法

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The structural system is a complex structural form in engineering practice. Under the condition of uncertainty, multiple failure modes may happen simultaneously and lead to the failure of the overall structure. To identify the dominant failure modes of structural systems, this paper proposes a dominant failure mode search method based on the differential evolution algorithm, which generates sample points on the limit state surface and uses the differential evolution algorithm to evolve. It can search for several dominant failure modes of structural systems without much structural analysis function calls. For the evaluation of the reliability of structural systems, this paper further proposes an extended sequential compound method, which can solve the correlation coefficients between compound events and its internal events. Therefore, it can calculate the failure probability for various failure modes and the correlation coefficient between failure modes simultaneously. Besides, a system reliability-based design optimization method is proposed under the framework of the reliability index method with an analytical method for solving the gradient of the system reliability index. Finally, several numerical examples are given to verify the efficiency and accuracy of the proposed methods. (C) 2020 Elsevier B.V. All rights reserved.
机译:结构系统是工程实践中的复杂结构形式。在不确定条件下,多种故障模式可能同时发生并导致整体结构的故障。为了识别结构系统的主要故障模式,本文提出了一种基于差分演化算法的主要故障模式搜索方法,它在极限状态表面上生成采样点并使用差分演化算法进化。它可以在没有多大结构分析函数调用的情况下搜索结构系统的若干主导故障模式。为了评估结构系统的可靠性,本文进一步提出了一种延长的顺序化合物方法,其可以解决复合事件及其内部事件之间的相关系数。因此,它可以同时计算各种故障模式的故障概率和故障模式之间的相关系数。此外,基于系统可靠性的设计优化方法,在可靠性指标方法的框架下提出了一种解决系统可靠性指标梯度的分析方法。最后,给出了几个数值例子来验证所提出的方法的效率和准确性。 (c)2020 Elsevier B.v.保留所有权利。

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