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Nonsmooth dynamics by path integration — an example of chaotic response of a meshing gear pair

机译:路径集成的非流动动力学 - 啮合齿轮对的混沌响应的一个例子

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The probability density function (PDF) of the solution process of a nonlinear stochastic differential equation (SDE) is found in this paper, using the path integration technique. The SDE is a piecewise linear system, representing a model of an imperfectly mounted spur gear pair with a small perturbational noise on the driving force. It is known that the system model for a particular choice of parameters shows chaotic behaviour (Kahraman and Singh, 1990a). The PDF is compared to the Poincare map of the deterministic system, and it is shown that the stochastic and deterministic attractors are very similar. Then it is shown that although the stochastic attractor appears clearly after just a few iterations, the probability density over the attractor depends on the initial condition. The system does converge to one unique periodic PDF eventually, but the convergence is fairly slow. However, the transient is almost periodic with a period that is twice that of the forcing, which can be utilized to obtain a much higher convergence rate. The advantage of using an SDE to study this rattling problem, is that one can immediately identify the most likely states of the system.
机译:本文使用路径集成技术在本文中发现了非线性随机微分方程(SDE)的溶液处理的概率密度函数(PDF)。 SDE是一种分段线性系统,表示具有在驱动力上具有小的扰动噪声的不完全安装的正齿轮对的模型。众所周知,用于特定选择参数的系统模型显示了混沌行为(Kahraman和Singh,1990a)。将PDF与确定性系统的Poincare地图进行比较,并且表明随机和确定性吸引物非常相似。然后表明,虽然随机吸引子在仅几个迭代之后显然出现,但吸引子上的概率密度取决于初始条件。系统确实会收敛到一个独特的周期性PDF最终,但收敛相当慢。然而,瞬态几乎是周期性的,其是强制的两倍,这可以用于获得更高的收敛速度。使用SDE研究这种嘎嘎作响问题的优点是,人们可以立即识别系统的最可能的状态。

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