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首页> 外文会议>IMAC Conference on Structural Dynamics >Validation of Current State Frequency Based Substructuring Technology for the Characterisation of Steering Gear-Vehicle Interaction
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Validation of Current State Frequency Based Substructuring Technology for the Characterisation of Steering Gear-Vehicle Interaction

机译：基于状态频率的子结构技术的验证，用于转向齿轮车辆交互的特征

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This paper presents a validation study of several experimental Frequency Based Substructuring (FBS) techniques that were developed recently. Advances in the techniques up to 2009 were already applied and validated using the rear axle differential - vehicle interaction as a test case. Since then several advances were achieved by various researchers, such as the Modal Constraints for Fixtures and Subsystems (MCFS) and the method of Equivalent Multi-Point Connections (EMPC). So far these advances have been tested on relatively simple academic problems. This validation study is conducted at BMW and focuses on the complex interaction between the steering gear and the vehicle. First, the response of the vehicle is obtained experimentally while a simple substitute beam is installed in place of the steering gear. This beam is then decoupled and replaced numerically by the actual steering gear using Frequency Response Functions (FRF) obtained from finite element models. The whole procedure of decoupling and coupling is evaluated by comparison with a validation measurement. Different to the MCFS method, the decoupling and coupling is performed using Lagrange Multiplier FBS instead of component mode synthesis. This paper also presents a different derivation for the virtual point transformation that extends and generalises the EMPC method.
机译：本文介绍了最近开发的几种基于实验频率的子结构（FBS）技术的验证研究。使用后轴差动 - 车辆相互作用作为测试用例，已经应用和验证了2009年的技术的进展。从那时起，各种研究人员都可以实现一些进步，例如用于固定装置和子系统（MCF）的模态限制以及等效多点连接（EMPC）的方法。到目前为止，这些进步已经在相对简单的学术问题上进行了测试。该验证研究是在BMW进行的，并专注于转向器和车辆之间的复杂相互作用。首先，在实验上获得车辆的响应，同时安装简单的替代梁代替转向齿轮。然后，使用从有限元模型获得的频率响应函数（FRF），该光束通过实际转向齿轮分离并用实际转向齿轮替换。通过与验证测量进行比较来评估去耦和耦合的整个过程。与MCFS方法不同，使用拉格朗日乘法器FBS而不是组件模式合成来执行去耦和耦合。本文还为虚拟点转换提供了不同的推导，它扩展和概括了EMPC方法。

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