车室低频噪声预测与车身板件声学贡献分析  

Vehicle's Low Frequency Noise Prediction and Body Panel's Acoustic Contribution Analysis

作　　者：李苏平[1] 胡启国[2] 胡海波[2] 罗天洪[2] LI Su-ping;HU Qi-guo;HU Hai-bo;LUO Tian-hong(College of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China;School of Mechanotronics & Vehicle Engineering, Chongqing Jiaotong University,Chongqing 400074, China)

机构地区：[1]重庆交通大学交通运输学院,重庆400074 [2]重庆交通大学机电与车辆工程学院,重庆400074

出　　处：《噪声与振动控制》2016年第4期103-107,共5页Noise and Vibration Control

基　　金：重庆市基础科学与前沿技术研究专项重点资助(cstc2015jcyj BX0133);国家自然科学基金资助项目(51375519)

摘　　要：为预测车室低频噪声,建立车身结构有限元模型和声场有限元模型,并使用网格映射方法将结构-声场有限元模型耦合。建立发动机激励动力学模型和路面随机激励动力学模型,利用Matlab/Simulink计算发动机悬置点激励力和悬架处激励力,并通过快速傅里叶变换得到激励力的幅频特性。加载发动机激励力和悬架激励力,在Virtual.Lab中进行声学响应分析和板件声学贡献分析,预测车室噪声并确定声压贡献较大的板件。最后通过板件厚度参数优化,有效地降低测点声压。In order to predict vehicle’s low frequency noise, a structural FEM for vehicle’s body and an acoustic FEM for interior cavity are established, and the mesh mapping method is adopted to couple the structural FEM and the acoustic FEM. The dynamic models of engine excitation and road random excitation are established respectively. The excitation forces of the engine mounting points and the suspension are calculated by using Matlab/Simulink, and their amplitudefrequency characteristics are obtained though fast Fourier transform method. Then, exerting the excitation forces of the engine and the suspension to the model, the passenger compartment noise is predicted and the body panels which have great acoustic pressure contribution are identified by using Virtual.Lab. Finally, by optimizing the panel thickness parameter, the acoustic pressures at the measurement points are reduced effectively.

关 键 词：声学 噪声预测 车身板件 声学贡献 发动机激励 路面随机激励 

分 类 号：TB533.2[理学—物理]