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Stochastic stability of SDOF linear viscoelastic system under wideband noise excitation

机译:宽带噪声激励下SDOF线性粘弹性系统的随机稳定性

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摘要

The stochastic moment stability and almost-sure stability of a single-degree-of-freedom (SDOF) viscoelastic system subject to parametric fluctuation is investigated by using the method of higher-order stochastic averaging. The stochastic parametric excitation is modeled as a wideband noise, which is taken as Gaussian white noise and real noise. The viscoelastic material is assumed to follow ordinary Maxwell linear constitutive relation. For small damping and weak stochastic fluctuation, analytical expressions are derived for the moment Lyapunov exponent and the Lyapunov exponent, which indicate moment stability and almost-sure stability respectively. The effects of various system and loading parameters on the stochastic stability are discussed. Both analytical and simulation results show that higher-order stochastic averaging improves the accuracy compared with the first-order stochastic averaging. However, results of the third-order averaging are almost overridden by those of second-order averaging and the third-order averaging involves far more calculation. It is advisable to consider a balance between accuracy achievement and calculation endeavor when using higher-order stochastic averaging.
机译:采用高阶随机平均方法研究了单自由度(SDOF)粘弹性系统在参数波动下的随机矩稳定性和几乎确定稳定性。随机参量激励被建模为宽带噪声,被视为高斯白噪声和真实噪声。假定粘弹性材料遵循普通的麦克斯韦线性本构关系。对于较小的阻尼和较小的随机波动,推导了Lyapunov指数和Lyapunov指数的解析表达式,分别表示了矩稳定性和几乎确定的稳定性。讨论了各种系统和加载参数对随机稳定性的影响。分析和仿真结果均表明,与一阶随机平均相比,高阶随机平均提高了精度。但是,三阶平均的结果几乎被二阶平均的结果所覆盖,并且三阶平均涉及更多的计算。在使用高阶随机平均时,建议在精度实现和计算努力之间取得平衡。

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