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An efficient three-dimensional tire model for predicting spindle loads.

机译:用于预测主轴负载的高效三维轮胎模型。

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For vehicle dynamics simulations, tire models that can accurately predict spindle loads resulting from durability road events, such as curb or chuckhole impacts are lacking. In this dissertation, an efficient three-dimensional tire model is presented for use in simulating such events.; The tire model comprises three main parts. First, the sidewall is modeled with finite elements based on the precomputed response of a nonlinear substructure that characterizes the force-deflection behavior of the sidewall. Thus, all of the DOF on the sidewall are effectively condensed out of the model. Second, the tread is modeled with nonlinear shell elements. Finally, contact is modeled as a yield surface based on an orthotropic elastic foundation coupled with an isotropic Coulomb friction law.; The tire model is recast in an Arbitrary Lagrangian Eulerian context, thus allowing the tire to convect through the mesh. This enables the contact patch to be refined in an otherwise coarse mesh and, therefore, greatly reduces the size of the model. In order to properly model the lateral forces of a rolling tire, tread block compliance must be accounted for. The contact compliance is, therefore, treated as a convected property. An update procedure allowing it to be treated as an internal state vector is utilized, thus further reducing the size of the model.; Finally, the tire model's computational speed and fidelity were assessed. The model's response was validated using a diverse set of static and dynamic experiments performed for this study.
机译:对于车辆动力学仿真,缺少能够准确预测由于路况或卡盘孔等耐久性道路事件导致的主轴负载的轮胎模型。本文提出了一种有效的三维轮胎模型来模拟此类事件。轮胎模型包括三个主要部分。首先,基于非线性子结构的预计算响应,用有限元对侧壁进行建模,该非线性子结构表征了侧壁的力-挠曲行为。因此,侧壁上的所有自由度都有效地从模型中冷凝出来。其次,用非线性壳单元对胎面建模。最后,基于正交异性弹性基础和各向同性库仑摩擦定律,将接触建模为屈服面。在任意拉格朗日欧拉背景下重塑轮胎模型,从而允许轮胎通过网格对流。这使得接触贴片可以在其他粗糙的网格中进行细化,因此可以大大减小模型的尺寸。为了正确地模拟滚动轮胎的侧向力,必须考虑胎面花纹的柔顺性。因此,合规性被视为对流财产。利用允许将其视为内部状态向量的更新过程,从而进一步减小了模型的大小。最后,评估了轮胎模型的计算速度和保真度。使用针对此研究执行的一系列静态和动态实验验证了模型的响应。

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