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首页> 外文期刊>Journal of Computational and Nonlinear Dynamics >Heavy-Tailed Response of Structural Systems Subjected to Stochastic Excitation Containing Extreme Forcing Events
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Heavy-Tailed Response of Structural Systems Subjected to Stochastic Excitation Containing Extreme Forcing Events

机译:含有极端迫使事件的随机励磁的结构系统的重尾响应

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We characterize the complex, heavy-tailed probability density functions (pdfs) describing the response and its local extrema for structural systems subject to random forcing that includes extreme events. Our approach is based on recent probabilistic decomposition-synthesis (PDS) technique (Mohamad, M. A., Cousins, W., and Sapsis, T. P., 2016, "A Probabilistic Decomposition-Synthesis Method for the Quantification of Rare Events Due to Internal Instabilities," J. Comput. Phys., 322, pp. 288-308), where we decouple rare event regimes from background fluctuations. The result of the analysis has the form of a semi-analytical approximation formula for the pdf of the response (displacement, velocity, and acceleration) and the pdf of the local extrema. For special limiting cases (lightly damped or heavily damped systems), our analysis provides fully analytical approximations. We also demonstrate how the method can be applied to high dimensional structural systems through a two-degrees-of-freedom (TDOF) example system undergoing extreme events due to intermittent forcing. The derived formulas can be evaluated with very small computational cost and are shown to accurately capture the complicated heavy-tailed and asymmetrical features in the probability distribution many standard deviations away from the mean, through comparisons with expensive Monte Carlo simulations.
机译:我们表征了描述响应的复杂,重尾的概率密度函数(PDF),以及随机强制进行的结构系统的响应及其局部极值,包括极端事件。我们的方法是基于最近的概率分解合成(PDS)技术(Mohamad,MA,Cousins,W.和Sapsis,TP,2016,“概率分解合成方法,用于量化由于内部稳定性,” J. COPPLE。物理。,322,PP。288-308),我们将罕见的事件制度与背景波动分离。分析结果具有用于响应(位移,速度和加速度)的PDF的半分析近似公式的形式和局部极值的PDF。对于特殊限制案例(轻微阻尼或严重阻尼系统),我们的分析提供了完全分析的近似。我们还通过两种自由度(TDOF)示例系统展示了如何将该方法应用于高维结构系统,例如由于间歇强制而受到极端事件的影响。可以以非常小的计算成本评估衍生的公式,并且显示在概率分布中精确地捕获复杂的重尾和不对称特征,通过与昂贵的蒙特卡罗模拟的比较,许多标准偏差远离平均值。

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