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An adaptive directional importance sampling method for structural reliability analysis

机译:结构可靠性分析的自适应方向重要性抽样方法

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The importance sampling is merged with directional simulation in this paper. A sampling function is defined on the unit hyper sphere which samples random directions. The directions are sampled around a direction that aims to the design point. The sampling function uses spherical coordinates to generate random directions. The method is made adaptive by a closed form updating rule to renew the sampling parameters. To reduce the number of calls on the limit state function, a root finding procedure is put forward. The proposed method is tested with well-known test problems and its performance is compared with the conventional directional simulation. The results demonstrate the accuracy and efficiency of the proposed method for rare event estimation. (C) 2017 Elsevier Ltd. All rights reserved.
机译:本文将重要性抽样与定向仿真相结合。在单位超球上定义了一个采样函数,用于采样随机方向。围绕针对设计点的方向对方向进行采样。采样函数使用球面坐标生成随机方向。通过封闭形式更新规则使该方法具有适应性,以更新采样参数。为了减少极限状态函数的调用次数,提出了寻根程序。对该方法进行了测试,并与传统的定向仿真进行了比较。结果证明了所提出的稀有事件估计方法的准确性和效率。 (C)2017 Elsevier Ltd.保留所有权利。

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