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Research on stochastic stability and stochastic bifurcation of suspended wheelset

机译:悬架轮副的随机稳定性和随机分叉研究

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We studied the stochastic stability and bifurcation behavior for a suspended wheelset system in the presence of a Gauss white noise stochastic parametric excitation. First, the global stochastic stability was researched by judging the modality of the singular boundary. Then, the diffusion exponent, drift exponent and character value of the two boundaries were calculated. After getting the maximal Lyapunov exponent, the condition of D-bifurcation was obtained. By analyzing the shape and peaks of the stationary probability density function, the condition of stochastic P-bifurcation was also obtained. Finally, the numerical verification and the comparison between deterministic bifurcation and P-bifurcation were performed. The results show that the random excitation shifts the critical velocity to a lower value, and the stochastic system becomes more sensitive and more unstable. The stochastic parametric excitation can destroy the origin subcritical Hopf bifurcation in the deterministic system.
机译:我们研究了在存在高斯白噪声随机参量激励的情况下,悬架轮对系统的随机稳定性和分叉行为。首先,通过判断奇异边界的模态来研究全局随机稳定性。然后,计算了两个边界的扩散指数,漂移指数和特征值。得到最大Lyapunov指数后,得到D分叉的条件。通过分析平稳概率密度函数的形状和峰值,还获得了随机P-分支的条件。最后,对确定性分支与P-分支进行了数值验证和比较。结果表明,随机激励将临界速度降低到较低的值,随机系统变得更加敏感和不稳定。随机参数激励会破坏确定性系统中的原次临界Hopf分叉。

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