Frequency Response Analysis of Fully Trimmed Models Using Compressed Reduced Impedance Matrix Methodology

Andre Paiva, Julien Verhaegen, G. Lielens, Benoit Van den Nieuwenhof
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Abstract

As vibration and noise regulations become more stringent, numerical models need to incorporate more detailed damping treatments. Commercial frameworks, such as Nastran and Actran, allow the representation of trim components as frequency-dependent reduced impedance matrices (RIM) in direct frequency response (DFR) analysis of fully trimmed models.The RIM is versatile enough to couple the trims to modal-based or physical components. If physical, the trim components are reduced on the physical coupling degrees of freedom (DOFs) for each connected interface. If modal, the RIMs are projected on the eigenmodes of the connected component. While a model size reduction is achieved compared to the original model, most numerical models possess an extensive number of interfaces DOFs, either modal or physical, resulting in large, dense RIMs that demand substantial memory and disk storage. Thus, the approach faces challenges related to storage capacities and efficiency, because of the demanding computational input/output (I/O) operations involved.This paper introduces a new robust and efficient methodology. It aims to further compress these RIMs when dealing with modal components. Instead of performing a conventional modal projection, the method reduces the global modes onto the coupling surfaces of each component to their most significant contributions. The paper demonstrates, on an industrial fully trimmed car body model, that if the truncation process eliminates low-effect contributions sufficiently, the coupling is adequately represented, resulting in a significant reduction in disk storage with minimal loss of accuracy. As an additional benefit, the computational time is reduced due to the I/O handling of much smaller matrices.
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使用压缩还原阻抗矩阵方法对全修剪模型进行频率响应分析
随着振动和噪声法规的日益严格,数值模型需要包含更详细的阻尼处理。商用框架(如 Nastran 和 Actran)允许在对完全微调模型进行直接频率响应(DFR)分析时,将微调成分表示为频率相关的减阻矩阵(RIM)。如果是物理组件,则在每个连接接口的物理耦合自由度 (DOF) 上减少微调组件。如果是模态的,RIM 会投射到连接组件的特征模上。虽然与原始模型相比,模型尺寸有所缩小,但大多数数值模型都拥有大量的接口自由度,无论是模态还是物理自由度,从而产生了大量密集的 RIM,需要大量的内存和磁盘存储空间。因此,这种方法面临着与存储容量和效率有关的挑战,因为其中涉及高要求的计算输入/输出 (I/O) 操作。本文介绍了一种稳健高效的新方法,旨在处理模态组件时进一步压缩这些 RIM。该方法不是执行传统的模态投影,而是将全局模态缩减到每个组件的耦合面上,使其成为最重要的贡献。论文在一个工业全修剪车身模型上证明,如果截断过程能充分消除低效应贡献,耦合就能得到充分体现,从而显著减少磁盘存储量,同时将精度损失降到最低。另外,由于可以对更小的矩阵进行输入/输出处理,计算时间也得以缩短。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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