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Robust estimation of coupling loss factors from finite element analysis

机译:从有限元分析中可靠地估计耦合损耗因子

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摘要

There are well-established techniques by which the coupling loss factors (CLFs) of statistical energy analysis (SEA) can be estimated from finite element analysis (FEA). These are typically based on a single, selected system. A slightly different choice of system would give different estimates. There is a need for robust methods that give good estimates of the SEA average CLFs, independent of the details of the chosen system. Estimates of variance, confidence limits, are also of interest. Two approaches to this problem are discussed. These involve attempts to randomise the properties of the system and averaging the resulting estimates, but without repeating the full FEA. The first involves perturbation of component modal properties which can be related to perturbations in the modes of the assembled structure and hence to the energies and CLFs. In the second approach, it is assumed that the statistics of the modal properties of the system analysed are a fair representation, when taken over a wide enough frequency range, of the statistics of the modes of the SEA ensemble. The modes of the system are then randomly sampled to provide robust estimates. Numerical examples are presented. The methods are computationally very cheap. (c) 2007 Elsevier Ltd. All rights reserved.
机译:有一些成熟的技术可以通过有限元分析(FEA)估算统计能量分析(SEA)的耦合损耗因子(CLF)。这些通常基于单个选定的系统。稍微不同的系统选择将给出不同的估计。需要一种鲁棒的方法,能够对SEA平均CLF进行良好的估算,而与所选系统的细节无关。方差的估计值,置信度限制也很重要。讨论了解决此问题的两种方法。这些包括尝试使系统的属性随机化并平均得出的估计值,但不重复完整的FEA。第一个涉及组件模态特性的扰动,该扰动可能与组装结构的模式中的扰动有关,因此与能量和CLF有关。在第二种方法中,假设所分析系统的模态属性的统计信息在足够宽的频率范围内是SEA集成模式统计信息的公平表示。然后对系统的模式进行随机采样以提供可靠的估计。给出了数值示例。这些方法在计算上非常便宜。 (c)2007 Elsevier Ltd.保留所有权利。

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