耦合微机械振荡器阵列的非线性随机动力学

IF 3.4 Q1 ENGINEERING, MECHANICAL
Maria I. Katsidoniotaki, Ioannis Petromichelakis, Ioannis A. Kougioumtzoglou
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引用次数: 3

摘要

基于最近发展的Wiener路径积分(WPI)技术,确定了多自由度非线性动力系统的随机响应。该系统可以被解释为微机械振荡器的静电耦合阵列的代表性模型,并与Buks和Roukes进行的实验有关。与文献中的替代建模和求解方法相比,本文表现出以下新颖之处。首先,通常采用线性或高阶多项式,避免了非线性静电力的近似。其次,首次采用随机建模,考虑了代表不同噪声源对系统动力学影响的随机激励分量。第三,基于确定响应联合概率密度函数的WPI技术,求解了控制微机械阵列动力学的高维非线性耦合随机微分方程组。与相关蒙特卡罗模拟数据的比较表明,WPI技术具有相当高的精度和计算效率。此外,研究表明,所提出的模型可以至少以定性的方式捕捉相关实验装置的频域响应的显著方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Nonlinear stochastic dynamics of an array of coupled micromechanical oscillators

Nonlinear stochastic dynamics of an array of coupled micromechanical oscillators

The stochastic response of a multi-degree-of-freedom nonlinear dynamical system is determined based on the recently developed Wiener path integral (WPI) technique. The system can be construed as a representative model of electrostatically coupled arrays of micromechanical oscillators, and relates to an experiment performed by Buks and Roukes. Compared to alternative modeling and solution treatments in the literature, the paper exhibits the following novelties. First, typically adopted linear, or higher-order polynomial, approximations of the nonlinear electrostatic forces are circumvented. Second, for the first time, stochastic modeling is employed by considering a random excitation component representing the effect of diverse noise sources on the system dynamics. Third, the resulting high-dimensional, nonlinear system of coupled stochastic differential equations governing the dynamics of the micromechanical array is solved based on the WPI technique for determining the response joint probability density function. Comparisons with pertinent Monte Carlo simulation data demonstrate a quite high degree of accuracy and computational efficiency exhibited by the WPI technique. Further, it is shown that the proposed model can capture, at least in a qualitative manner, the salient aspects of the frequency domain response of the associated experimental setup.

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