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Stochastic stability of viscoelastic systems under Gaussian and Poisson white noise excitations

机译:高斯和泊松白噪声激励下粘弹性体系的随机稳定性

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摘要

As the use of viscoelastic materials becomes increasingly popular, stability of viscoelastic structures under random loads becomes increasingly important. This paper aims at studying the asymptotic stability of viscoelastic systems under Gaussian and Poisson white noise excitations with Lyapunov functions. The viscoelastic force is approximated as equivalent stiffness and damping terms. A stochastic differential equation is set up to represent randomly excited viscoelastic systems, from which a Lyapunov function is determined by intuition. The time derivative of this Lyapunov function is then obtained by stochastic averaging. Approximate conditions are derived for asymptotic Lyapunov stability with probability one of the viscoelastic system. Validity and utility of this approach are illustrated by a Duffing-type oscillator possessing viscoelastic forces, and the influence of different parameters on the stability region is delineated.
机译:随着粘弹性材料的使用变得越来越流行,随机载荷下粘弹性结构的稳定性变得越来越重要。 本文旨在使用Lyapunov功能研究高斯和泊松白噪声激发下的粘弹性系统的渐近稳定性。 粘弹力近似为等效刚度和阻尼术语。 设置随机微分方程以表示随机激发的粘弹性系统,通过直觉确定Lyapunov函数。 然后通过随机平均获得该Lyapunov功能的时间衍生。 近似条件用于渐近Lyapunov稳定性,具有粘弹性系统之一。 这种方法的有效性和效用由具有粘弹力的Duffing型振荡器来说明,并且不同参数对稳定区域的影响被描绘。

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