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Higher-order stochastic averaging for a SDOF fractional viscoelastic system under bounded noise excitation

机译:有限噪声激励下SDOF分数阶粘弹性系统的高阶随机平均

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摘要

The moment Lyapunov exponents and stochastic stability of a single-degree-of-freedom (SDOF) frac-tional viscoelastic system under bounded noise excitation are studied by using the method of higher-order stochastic averaging. A realistic example of such a system is the transverse vibration of a viscoelastic column under the excitation of stochastic axial compressive load. The excitation is modeled as a bounded noise, which is a realistic model of stochastic fluctuation in engineering applications. The viscoelastic material is assumed to follow a fractional Kelvin-Voigt constitutive relation. The method of higher-order stochastic averaging is used to approximate the fractional stochastic differential equation of motion, and then moment Lyapunov exponents are determined for the system with small damping and weak random fluctuation. The approximate results are confirmed by Monte-Carlo simulations. It is found that convergence of moment Lyapunov exponents depends on the width of power spectral density of the bounded noise process. For this viscoelastic structure, second-order averaging analysis is adequate for stability analysis. The effects of various parameters on the stochastic stability of the system are discussed and possible explanations are explored. (C) 2017 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
机译:利用高阶随机平均的方法研究了单自由度(SFOF)分数阶粘弹性系统在有界噪声激励下的矩Lyapunov指数和随机稳定性。这种系统的一个实际例子是在随机轴向压缩载荷的激励下粘弹性柱的横向振动。激励被建模为有界噪声,这是工程应用中随机波动的现实模型。假定粘弹性材料遵循分数开尔文-沃格特本构关系。采用高阶随机平均法对分数阶运动随机微分方程进行近似,然后确定阻尼较小,随机波动较小的系统的矩李雅普诺夫指数。近似结果已通过蒙特卡洛模拟得到证实。发现矩Lyapunov指数的收敛取决于有界噪声过程的功率谱密度的宽度。对于这种粘弹性结构,二阶平均分析足以进行稳定性分析。讨论了各种参数对系统随机稳定性的影响,并探讨了可能的解释。 (C)2017富兰克林研究所。由Elsevier Ltd.出版。保留所有权利。

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  • 来源
    《Journal of the Franklin Institute》 |2017年第17期|7917-7945|共29页
  • 作者

    Deng Jian;

  • 作者单位

    Lakehead Univ, Dept Civil Engn, Thunder Bay, ON P7B 5E1, Canada;

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  • 正文语种 eng
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  • 入库时间 2022-08-18 02:57:40

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