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首页> 外文期刊>Communications in Nonlinear Science and Numerical Simulation >Principal resonance responses of SDOF systems with small fractional derivative damping under narrow-band random parametric excitation
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Principal resonance responses of SDOF systems with small fractional derivative damping under narrow-band random parametric excitation

机译:窄带随机参数激励下具有小分数导数阻尼的SDOF系统的主共振响应

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摘要

The principal resonance responses of nonlinear single-degree-of-freedom (SDOF) systems with lightly fractional derivative damping of order α (0 < α < 1) subject to the narrow-band random parametric excitation are investigated. The method of multiple scales is developed to derive two first order stochastic differential equation of amplitude and phase, and then to examine the influences of fractional order and intensity of random excitation on the first-order and second-order moment. As an example, the stochastic Duffing oscillator with fractional derivative damping is considered. The effects of detuning frequency parameter, the intensity of random excitation and the fractional order derivative damping on stability are studied through the largest Lyapunov exponent. The corresponding theoretical results are well verified through direct numerical simulations. In addition, the phenomenon of stochastic jump is analyzed for parametric principal resonance responses via finite differential method. The stochastic jump phenomena indicates that the most probable motion is around the larger non-trivial branch of the amplitude response when the intensity of excitation is very small, and the probable motion of amplitude responses will move from the larger non-trivial branch to trivial branch with the increasing of the intensity of excitation. Such stochastic jump can be considered as bifurcation.
机译:研究了非线性单自由度(SDOF)系统在窄带随机参量激励下的微分阶导数阻尼为α(0 <α<1)的主要共振响应。提出了多尺度方法,推导了两个振幅和相位的一阶随机微分方程,然后研究了随机激励的分数阶和强度对一阶和二阶矩的影响。例如,考虑具有分数导数阻尼的随机Duffing振荡器。通过最大的李雅普诺夫指数研究了失谐频率参数,随机激励强度和分数阶导数阻尼对稳定性的影响。通过直接数值模拟,很好地验证了相应的理论结果。此外,通过有限差分法分析了随机跳跃现象的参数主共振响应。随机跳跃现象表明,当激发强度很小时,最可能的运动在幅度响应的较大非平凡分支周围,并且幅度响应的可能运动将从较大的非平凡分支移至平凡分支随着激发强度的增加。这种随机跳跃可被视为分叉。

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