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

粗糙路面接触滚动轮胎随机激励计算技术

• 批准号: 317553749
• 负责人: Professor Dr.-Ing. Udo Nackenhorst
• 金额: --
• 依托单位: Institut für Baumechanik und Numerische Mechanik (IBNM)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2016
• 资助国家: 德国
• 起止时间: 2015-12-31 至 2019-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/317553749?language=en
• 关键词: Computational; techniques; stochastic; excitation; rolling

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.

在以往的研究中，我们使用详细的有限元模型对滚动轮胎辐射的高频噪声进行了研究，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特征频率，以及道路纹理的影响尚未完全了解。在提议的项目中，我们打算通过两项明显的改进来弥补这些问题：(a)通过描述宏观轮胎模型和轮胎胎面与路面的详细细观力学接触行为的随机激励函数来扩展方法；(b)包括橡胶化合物中的动态硬化效应。计划的多层随机方法考虑了粗糙表面的随机过程性质，因此能够预测各种表面特征的滚动噪声。因此，随机方案将满足轮胎工业对参数模型的要求，该模型能够识别表面参数对轮胎振动行为的影响。