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Automotive cabin characterization by acoustic modal analysis

机译:通过声学模态分析表征汽车驾驶室

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The interior sound perceived in an automotive cabin is a very important attribute in vehicle engineering. Therefore, there is an industrial interest to be able to predict the interior acoustic behaviour by means of accurate simulation models. In order to understand the modelling challenges and improve the modelling know-how, experimental methods in which an acoustic characterization of the cabin is performed based on measurements play an important role. When performing an interior acoustic study, it is important to relate the acoustics responses to the intrinsic system behaviour of cabin cavity. This can be done by means of acoustic modal analysis, i.e. modal parameter estimation methods decompose the system behaviour into a set of individual resonance phenomena, each characterised by a resonance frequency, damping ratio, and mode shape. This paper will discuss the equipment requirements and advanced modal parameter estimation techniques. Specific acoustic modal analysis challenges are the high modal damping ratios resulting in highly overlapping modes with complex mode shapes and the use of a large number of references (sound sources) distributed around the cabin to get a sufficiently homogeneous sound field. The performance of Maximum Likelihood Estimation will be examined and compared to more traditional approaches.
机译:在车厢中感知到的内部声音在车辆工程中是非常重要的属性。因此,能够通过精确的仿真模型来预测内部声学行为在工业上引起了人们的兴趣。为了理解建模挑战并提高建模技巧,基于测量对机舱进行声学表征的实验方法起着重要的作用。在进行内部声学研究时,重要的是将声学响应与舱室的固有系统行为联系起来。这可以通过声学模态分析来完成,即模态参数估计方法将系统行为分解为一​​组单独的共振现象,每个共振现象的特征在于共振频率,阻尼比和振型。本文将讨论设备要求和先进的模态参数估计技术。特定的声学模态分析挑战是:高模态阻尼比会导致具有复杂模态形状的高度重叠模态,并使用围绕机舱分布的大量参考(声源)来获得足够均匀的声场。将研究最大似然估计的性能,并将其与更传统的方法进行比较。

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