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一种基于高斯正交系综的高效振动声学分析概率方法。

An efficient probabilistic approach to vibro-acoustic analysis based on the Gaussian orthogonal ensemble.

作者信息

Reynders Edwin, Legault Julien, Langley Robin S

机构信息

Department of Civil Engineering, KU Leuven, Kasteelpark Arenberg 40, B-3001 Leuven, Belgium.

Department of Engineering, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, United Kingdom.

出版信息

J Acoust Soc Am. 2014 Jul;136(1):201-12. doi: 10.1121/1.4881930.

Abstract

Vibro-acoustic analysis of complex systems at higher frequencies faces two challenges: how to compute the response without using an excessive number of degrees of freedom (DOFs), and how to quantify the uncertainty of the response due to small spatial variations in geometry, material properties, and boundary conditions, which have a wave scattering effect? In this study, a general method of analysis is presented that provides an answer to both questions while overcoming most limitations of statistical energy analysis. The fundamental idea is to numerically compute an artificial ensemble of realizations for the components of the built-up system that are highly sensitive to small random wave scatterers. This can be efficiently performed because their eigenvalue spacings and mode shapes conform to Gaussian orthogonal ensemble spacings and Gaussian random fields, respectively. The DOFs of the overall system are therefore limited to those of the deterministic components and the interface DOFs of the random components. The method is extensively validated by application to plate structures. Good agreement between the predicted response probability distributions and the results of detailed parametric probabilistic models is obtained, also for cases of low modal overlap, single point loading, and strong subsystem coupling.

摘要

在更高频率下对复杂系统进行振动声学分析面临两个挑战

如何在不使用过多自由度(DOF)的情况下计算响应,以及如何量化由于几何形状、材料特性和边界条件的微小空间变化(具有波散射效应)而导致的响应不确定性?在本研究中,提出了一种通用的分析方法,该方法在克服统计能量分析的大多数局限性的同时,对这两个问题都给出了答案。基本思想是对组合系统中对小随机波散射体高度敏感的组件进行数值计算人工实现集合。这可以高效地完成,因为它们的特征值间距和振型分别符合高斯正交系综间距和高斯随机场。因此,整个系统的自由度仅限于确定性组件的自由度和随机组件的界面自由度。该方法通过应用于板结构得到了广泛验证。对于低模态重叠、单点加载和强子系统耦合的情况,预测的响应概率分布与详细的参数概率模型的结果也取得了良好的一致性。

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