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Stochastic responses of nonlinear systems to nonstationary non-Gaussian excitations

机译:非线性系统对非平稳非高斯激励的随机响应

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摘要

Some random excitations actually demonstrate a strong deviation from Gaussian. They are associated with strong non-Gaussian properties. In this paper, Poisson and filtered Poisson processes are utilized to describe such non-Gaussian excitations. Besides, nonstationarity has to be considered since excitation intensity is actually a varying process. It is modeled by multiplying stationary models with modulating functions. Based on the above, nonstationary responses of single-degree-of-freedom (SDOF) nonlinear systems under non-Gaussian excitations are investigated. Exponential polynomial closure (EPC) approximate method, which is previously proposed for analyzing stationary responses with Gaussian excitations, is further improved by taking time variable or additional state variables into account to determine nonstationary responses with non-Gaussian excitations. Examples of nonlinear systems under nonstationary Poisson and filtered Poisson excitations are analyzed to testify the improved solution procedure. Comparisons between EPC approximates and simulated results evidence that the EPC method is efficient. In addition, non-Gaussian and nonstationary properties of responses are analyzed. Nonationary effects with different modulating function are also discussed.
机译:一些随机兴奋实际上表现出与高斯的强烈偏离。它们与强大的非高斯属性有关。在本文中,利用泊松和过滤的泊松过程来描述这种非高斯激励。此外,由于激励强度实际上是一个不同的过程,因此必须考虑非间抗性。它是通过将静止模型与调制功能乘以模型建模。基于以上,研究了在非高斯激动下的单级自由度(SDOF)非线性系统的非间断响应。通过考虑时间可变或附加状态变量来进一步改善以用于分析与高斯激励的静止响应的指数多项式闭合(EPC)近似方法,以确定具有非高斯激励的非平稳响应。分析非间断泊松和过滤泊松激发下的非线性系统的实例,证明了改进的解决方案程序。 EPC近似值和模拟结果证据表明EPC方法有效的比较。此外,分析了响应的非高斯和非平稳性性质。还讨论了不同调制函数的非统治效果。

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