Computational techniques on the stochastic excitation of rolling tires from the rough road surface contact

在以往使用详细的有限元模型对滚动轮胎辐射的高频噪声进行研究时，我们得到了定性准确的结果。然而，我们发现了两个问题：计算的特征频率低于实验中观察到的频率，以及对道路纹理的影响还没有完全了解。在拟议的项目中，我们打算通过两个不同的改进来解决这些问题：(A)通过一个随机激励函数来扩展该方法，该函数描述了宏观轮胎模型和详细的轮胎胎面与路面的细观机械接触行为之间的相互作用；(B)在橡胶胶料中包括动态硬化效应。计划中的多级随机方法考虑了粗糙表面的随机过程性质，因此将能够预测各种表面特征的滚动噪声。因此，该随机方案将满足轮胎行业对能够识别表面参数对轮胎振动行为的影响的参数模型的要求。

In previous investigations on the high-frequency noise radiated from rolling tires using detailed finite element models, we obtained qualitatively accurate results. However, we identified two issues: the eigenfrequencies computed are lower than those observed in experiments, and the influence of road texture is not fully understood. In the proposed project, we intend to remedy these issues by making two distinct improvements: (a) extending the method by a stochastic excitation function describing the interaction ofthe macroscopic tire model and the detailed meso-mechanical contact behavior of the tire tread with the road surface; (b) including dynamic stiffening effects in the rubber compound. The planned multilevel stochastic approach accounts for the random process nature of rough surfaces and will therefore be capable of predicting rolling noise across a variety of surface characteristics. The stochastic scheme will therefore satisfyrequests from tire industry for a parametric model capable of identifying effects of surface parameters on the tire vibration behavior.