Nonintrusive parametric NVH study of a vehicle body structure
Nonintrusive parametric NVH study of a vehicle body structure
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DOI：
10.1080/15397734.2022.2098140
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发表时间：
2022-07
影响因子：
3.9
通讯作者：
F. Cavaliere;S. Zlotnik;R. Sevilla;X. Larráyoz;P. Díez
中科院分区：
文献类型：
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作者：
F. Cavaliere;S. Zlotnik;R. Sevilla;X. Larráyoz;P. Díez
摘要 提出了一种降阶模型技术，用于对以材料和形状设计变量为特征的白车身 (BIW) 结构进行参数化噪声、振动和声振粗糙度 (NVH) 研究。最终目标是开发一种方法，能够有效地探索 BIW 静态和动态全局刚度设计空间的变化，以便在开发过程的初步阶段就可以评估 NVH 性能。所提出的技术基于适当的广义分解（PGD）方法。获得的 PGD 解决方案对引入的设计变量具有明确的依赖性，这允许在 0.1 毫秒内获得解决方案，从而为快速优化研究和预定义参数范围内结果的实时可视化打开了大门。该方法是非侵入式的，因此可以与商业软件进行交互。白车身的参数化有限元 (FE) 模型是通过 ANSA CAE 预处理器软件构建的，该软件可以考虑材料和几何参数。使用MSC-Nastran软件对参数化NVH解和全阶有限元仿真进行比较，以验证所提方法的准确性。此外，还提出了一项优化研究，以找到与 NVH 性能相关的最佳材料和形状特性。最后，为了在决策过程中支持设计人员，开发了一个图形界面应用程序，可以实时可视化设计变量的变化如何影响预定义的感兴趣量。
Abstract A reduced order model technique is presented to perform the parametric Noise, Vibration and Harshness (NVH) study of a vehicle body-in-white (BIW) structure characterized by material and shape design variables. The ultimate goal is to develop a methodology which allows to efficiently explore the variation in the design space of the BIW static and dynamic global stiffnesses, such that the NVH performance can be evaluated already in the preliminary phase of the development process. The proposed technique is based on the proper generalized decomposition (PGD) method. The obtained PGD solution presents an explicit dependency on the introduced design variables, which allows to obtain solutions in 0.1 milliseconds and therefore opens the door to fast optimization studies and real-time visualizations of the results in a pre-defined range of parameters. The method is nonintrusive, such that an interaction with commercial software is possible. A parametrized finite element (FE) model of the BIW is built by means of the ANSA CAE preprocessor software, which allows to account for material and geometric parameters. A comparison between the parametric NVH solutions and the full-order FE simulations is performed using the MSC-Nastran software, to validate the accuracy of the proposed method. In addition, an optimization study is presented to find the optimal materials and shape properties with respect to the NVH performance. Finally, in order to support the designers in the decision-making process, a graphical interface app is developed which allows to visualize in real-time how changes in the design variables affect pre-defined quantities of interest.