Durand Jean-François, Soize Christian, Gagliardini Laurent
Laboratoire Modelisation et Simulation Multi echelle, Universite Paris-Est, FRE3160 CNRS, 5 Boulevard Descartes, 77454 Marne-la-Vallee, France.
J Acoust Soc Am. 2008 Sep;124(3):1513-25. doi: 10.1121/1.2953316.
The design of cars is mainly based on the use of computational models to analyze structural vibrations and internal acoustic levels. Considering the very high complexity of such structural-acoustic systems, and in order to improve the robustness of such computational structural-acoustic models, both model uncertainties and data uncertainties must be taken into account. In this context, a probabilistic approach of uncertainties is implemented in an adapted computational structural-acoustic model. The two main problems are the experimental identification of the parameters controlling the uncertainty levels and the experimental validation. Relevant experiments have especially been developed for this research in order to constitute an experimental database devoted to structural vibrations and internal acoustic pressures. This database is used to perform the experimental identification of the probability model parameters and to validate the stochastic computational model.
汽车设计主要基于使用计算模型来分析结构振动和内部声学水平。考虑到此类结构声学系统的极高复杂性，为了提高此类计算结构声学模型的稳健性，必须同时考虑模型不确定性和数据不确定性。在此背景下，在一个适配的计算结构声学模型中实施了不确定性的概率方法。两个主要问题是控制不确定性水平的参数的实验识别以及实验验证。尤其针对本研究开展了相关实验，以构建一个专门用于结构振动和内部声压的实验数据库。该数据库用于进行概率模型参数的实验识别以及验证随机计算模型。
