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An iterative equivalent linearization approach for stochastic sensitivity analysis of hysteretic systems under seismic excitations based on explicit time-domain method

机译:基于明确时域法的地震激励下随机敏感性分析的迭代等同线性化方法

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The sensitivity analysis of hysteretic systems under nonstationary random excitations is of great concern to the stochastic optimal design and control of structures. The equivalent linear equation of motion is first constructed for the hysteretic system by the equivalent linearization method (ELM), and the sensitivity equation of the equivalent linear system is then derived by the direct differentiation technique. These two equations are further combined into an overall equivalent linear equation, which depends on the statistical moments and sensitivities of responses of the system and should be solved on an iterative basis. The analysis problem is thus transformed to a series of nonstationary random vibration analyses of the iterative linearized systems, which can be solved with the explicit time-domain method (ETDM) recently proposed for linear random vibration problems. The ETDM has high computational efficiency owing to the explicit formulations of statistical moments of responses. Therefore, a numerical algorithm is developed by combining ELM and ETDM for efficient stochastic sensitivity analysis of hysteretic systems. A 100-degree-of-freedom hysteretic system is investigated to illustrate the accuracy and efficiency of the proposed method, and a 10-degree-of-freedom base-isolated system is further analyzed to show the feasibility of the proposed method for stochastic structural optimization. (C) 2020 Elsevier Ltd. All rights reserved.
机译:非间接随机激励下滞后系统的敏感性分析对于随机最佳设计和结构控制具有极大的关注。首先通过等效的线性化方法(ELM)为滞后系统构造的等效线性方程,然后通过直接分化技术导出等效线性系统的灵敏度方程。这两个方程进一步组合成总体等同的线性方程,这取决于系统的响应的统计矩和敏感性,并且应该以迭代的方式解决。因此,分析问题转变为迭代线性化系统的一系列非营养随机振动分析,其可以用最近提出用于线性随机振动问题的显式时域方法(ETDM)来解决。由于反应的统计时刻的明确配方,ETDM具有高的计算效率。因此,通过结合ELM和ETDM来开发数值算法,以实现滞后系统的有效随机敏感性分析。研究了100自由度的滞后系统,以说明所提出的方法的准确性和效率,进一步分析了一种自由度的基础隔离系统,以表明所提出的随机结构方法的可行性优化。 (c)2020 elestvier有限公司保留所有权利。

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