Wind-load fragility analysis of monopole towers by Layered Stochastic-Approximation-Monte-Carlo method
Wind-load fragility analysis of monopole towers by Layered Stochastic-Approximation-Monte-Carlo method
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DOI：
10.1016/j.engstruct.2018.07.081
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发表时间：
2018-11-01
影响因子：
5.5
通讯作者：
Caracoglia, Luca
中科院分区：
文献类型：
--
作者：
Giaccu, Gian Felice;Caracoglia, Luca
本文采用分层随机逼近蒙特卡罗算法（分层随机逼近蒙特卡罗算法，LSAMC），对紊流条件下细长塔原型的顺风动力响应进行了数值模拟。将该算法应用于结构特性存在不确定性和风荷载时的动力响应统计。标准的“蛮力”蒙特卡罗方法也用于验证LSAMC结果。该方法有效地估计了极端风荷载下的结构易损性曲线。与标准蒙特卡罗采样相比，该方法可以显著加快计算时间。此外，还证明了结构易损性曲线估计的准确性优于普通的可靠性方法(如。“一阶可靠性方法”或FORM)。
This paper describes a novel numerical algorithm for the simulation of the along-wind dynamic response of a prototype of slender towers under turbulent winds, using a Layered Stochastic Approximation Monte Carlo algorithm (LSAMC). The proposed algorithm is applied to derive the statistics of the dynamic response in the presence of uncertainties in the structural properties and in the wind loading. Standard "brute force" Monte Carlo methods are also used for validating the LSAMC results. The proposed methodology efficiently estimates structural fragility curves under extreme wind loads. The methodology enables a significant speedup in the computing time compared to standard Monte Carlo sampling. Furthermore, it is demonstrated that accuracy in the estimation of structural fragility curves is superior to ordinary reliability methods (e.g. "First-order reliability methods" or FORM).