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Dynamic Analysis of Stochastic Friction Systems Using the Generalized Cell Mapping Method

机译:使用广义细胞映射方法的随机摩擦系统动态分析

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Friction systems are a kind of typical non-smooth systems in the actual engineering and often generates complicated dynamics. It is difficult to handle this systems by conventional analysis methods directly. In this context, we investigate the stochastic responses of friction systems using the generalized cell mapping method under random excitation in this paper. To verify the accuracy and validate the applicability of the suggested approach, we present two classical nonlinear friction systems, i.e., Coulomb force model and Dahl force model as examples. Meanwhile, this method is in good agreement with Monte Carlo simulation method and the computation time is greatly reduced. In addition, further discussion finds that the adjustable parameters can induce the stochastic P-bifurcation in the two examples, respectively.
机译:摩擦系统是实际工程中的一种典型的非光滑系统,并且经常产生复杂的动态。难以直接通过常规分析方法处理该系统。在这种情况下,我们研究了本文随机激励下使用广义细胞映射方法的摩擦系统的随机响应。为了验证所提出的方法的准确性和验证适用性,我们呈现了两个经典的非线性摩擦系统,即库仑力模型和DAHL力模型作为示例。同时,这种方法与Monte Carlo仿真方法吻合良好,计算时间大大降低。此外,进一步的讨论发现可调节参数分别可以分别在两个示例中引起随机p分叉。

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