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A hybrid relaxed first-order reliability method for efficient structural reliability analysis

机译:用于有效结构可靠性分析的混合松弛一阶可靠性方法

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The Hasofer-Lind and Rakwitz-Fiessler (HL-RF) algorithm is widely used for structural reliability analysis in first-order moment method (FORM). However, it meets non-convergence problem including generating periodic and chaotic solutions for highly nonlinear limit state function. In this paper, relaxed HL-RF (RHL-RF) is developed based on a relaxed factor, which is dynamically computed by the second-order interpolation between zero and one. A hybrid relaxed HL-RF (HRHL-RF) method is proposed, in which the HL-RF and RHL-RF are adaptively implemented by using an angle criterion to improve the robustness and efficiency of FORM formula. The angle condition is simply calculated based on the results from the new and previous points. Finally, the performances in terms of robustness and efficiency of the HRHLRF are compared with several existing FORM methods through five mathematical and structural examples. The results indicate that HRHL-RF method is more robust than the HL-RF and more efficient than other existing methods. (C) 2017 Elsevier Ltd. All rights reserved.
机译:Hasofer-Lind和Rakwitz-Fiessler(HL-RF)算法被广泛用于一阶矩量法(FORM)的结构可靠性分析。但是,它遇到了非收敛问题,包括为高度非线性极限状态函数生成周期和混沌解。本文基于松弛因子开发了松弛HL-RF(RHL-RF),该因子是通过零和一之间的二阶插值动态计算的。提出了一种混合松弛HL-RF(HRHL-RF)方法,其中通过使用角度准则自适应地实现HL-RF和RHL-RF,以提高FORM公式的鲁棒性和效率。仅根据新点和先前点的结果来计算角度条件。最后,通过五个数学和结构示例,将HRHLRF在鲁棒性和效率方面的性能与几种现有的FORM方法进行了比较。结果表明,HRHL-RF方法比HL-RF更健壮,比其他现有方法更有效。 (C)2017 Elsevier Ltd.保留所有权利。

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