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SORM applied to hierarchical parallel system

机译:SORM应用于分层并行系统

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摘要

The old hierarchical stochastic load combination model of Ferry Borges and Castanheta and the corresponding problem of determining the distribution of the extreme random load effect is the inspiration to this paper. The evaluation of the distribution function of the extreme value by use of a particular first order reliability method (FORM) was first described in a celebrated paper by Rackwitz and Fiessler more than a quarter of a century ago. The method has become known as the Rackwitz-Fiessler algorithm. The original RF-algorithm as applied to a hierarchical random variable model is recapitulated so that a simple but quite effective accuracy improving calculation can be explained. A limit state curvature correction factor on the probability approximation is obtained from the final stop results of the RF-algorithm. This correction factor is based on Breitung's asymptotic formula for second order reliability evaluation (asymptotic SORM). Example calculations with comparisons with simulated results show a surprisingly good accuracy improvement also in cases where the FORM results are grossly in error.
机译:Ferry Borges和Castanheta的旧的分层随机载荷组合模型以及确定极端随机载荷效应分布的相应问题是本文的启示。 25年前,Rackwitz和Fiessler在著名论文中首次描述了使用特定的一阶可靠性方法(FORM)对极值分布函数的评估。该方法已被称为Rackwitz-Fiessler算法。概括了应用于分层随机变量模型的原始RF算法,从而可以解释一种简单而有效的提高精度的计算方法。从RF算法的最终停止结果获得关于概率近似的极限状态曲率校正因子。该校正因子基于Breitung的渐近公式,用于二阶可靠性评估(渐近SORM)。在与FORM结果有严重误差的情况下,与模拟结果进行比较的示例计算也显示出惊人的良好准确性改进。

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