运动物体噪声场分解的传递路径声全息方法  

Decomposition of noise radiation using acoustics holograph for transfer path

作　　者：郝鹏[1] 郑四发[1] 杨殿阁[1] 连小珉[1] 李克强[1] 

机构地区：[1]清华大学汽车安全与节能国家重点实验室,北京100084

出　　处：《振动工程学报》2010年第6期591-595,共5页Journal of Vibration Engineering

基　　金：国家自然科学基金资助项目(50605038);国家863计划资助项目(2006AA110105-3)

摘　　要：声全息及波束成形技术可以通过对阵列噪声信号处理,获得运动物体表面声场的分布。如果物体中声源相距较近或声源相关性较高,该方法不能有效区分每个声源对目标表面声场的贡献。提出了一种基于声源特征的传递路径声全息方法。该方法同时采集外场阵列面信息及物体上声源参考信息,在声源识别过程中,结合声源传递路径对采样面信息分解,然后采用声全息技术重建声源,实现声源识别和声场分解。介绍了该方法的识别过程,并与传统的声全息方法进行多声源仿真对比;最后应用该方法进行了实际汽车噪声源的分解。结果表明,该方法能有效识别并分离出运动物体的噪声源。Acoustics holograph and beam forming technology are used to analysis noise radiation from moving objects according to the processing of array signals.For the situation that sources have higher coherence or nearer position,it is difficult to decompose the contribution of each source with those methods.A transfer path acoustics holograph method based on the characteristic of noise source was proposed.Both the acoustic array signals in the radiation field and noise sources signals on the object were used.The noise field on the outer object surface was reconstructed with acoustics holograph method.Further the radiated noise field was decomposed according to each of the noise sources.The method was evaluated using a simulated moving object with several noise sources.Then the noise contribution of a commercial vehicle was investigated with real running data.The result shows the proposed method could decompose the noise sources effectively.

关 键 词：声源识别 传递路径声全息 声场分解 

分 类 号：TB532[理学—物理]