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Heavy-tailed response of structural systems subjected to stochastic excitation containing extreme forcing events

机译:受随机性影响的结构系统的重尾响应   激发包含极端强迫事件

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摘要

We characterize the complex, heavy-tailed probability distribution functions(pdf) describing the response and its local extrema for structural systemssubjected to random forcing that includes extreme events. Our approach is basedon the recent probabilistic decomposition-synthesis technique, where wedecouple rare events regimes from the background fluctuations. The result ofthe analysis has the form of a semi-analytical approximation formula for thepdf of the response (displacement, velocity, and acceleration) and the pdf ofthe local extrema. For special limiting cases (lightly damped or heavily dampedsystems) our analysis provides fully analytical approximations. We alsodemonstrate how the method can be applied to high dimensional structuralsystems through a two-degrees-of-freedom structural system undergoing rareevents due to intermittent forcing. The derived formulas can be evaluated withvery small computational cost and are shown to accurately capture thecomplicated heavy-tailed and asymmetrical features in the probabilitydistribution many standard deviations away from the mean, through comparisonswith expensive Monte-Carlo simulations.
机译:我们表征了复杂的,重尾概率分布函数(pdf),该函数描述了受制于包括极端事件在内的随机强迫作用的结构系统的响应及其局部极值。我们的方法基于最新的概率分解合成技术,该技术将稀有事件机制与背景波动解耦。分析的结果具有响应(位移,速度和加速度)的pdf和局部极值的pdf的半解析近似公式。对于特殊的极限情况(轻度阻尼或重度阻尼系统),我们的分析提供了完全的解析近似。我们还演示了该方法如何通过因间歇性强迫而经历罕见事件的两自由度结构系统应用于高维结构系统。通过与昂贵的蒙特卡洛模拟进行比较,可以用很少的计算成本来评估所推导的公式,并证明该公式可以精确地捕获概率分布中远离平均数的复杂的重尾和非对称特征。

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