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某特种车车内中频噪声的混合FE-SEA法分析 被引量:4

Hybrid FE-SEA Analysis of Mid-frequency Cabin Noise in a Special Vehicle
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摘要 为了更好地对特种车车内中频噪声进行分析,采用混合有限元-统计能量分析方法,建立某特种车混合FE-SEA模型,根据理论方法获取各子系统的模态密度、内损耗因子、耦合损耗因子以及有限元车身的辐射效率;通过实车试验获取发动机悬置和分动箱悬置处的激励;把获取的参数和激励施加在混合FE-SEA模型中,并在200~800 Hz频率范围内,对有限元结构子系统进行模态计算,然后仿真预测获取车内噪声声压级,同时与测试结果作对比,绝对误差在7%以内,表明仿真模型精度较好;最后对车身板件的功率贡献量进行了分析,得出驾驶室头部声腔的功率贡献量主要来于顶盖和下部声腔。 In order to analyze the intermediate frequency cabin noise of special vehicle better,a hybrid FE-SEA(Finite element-statistical energy analysis)method is used,and the hybrid FE-SEA model was established to obtain the modal density of each subsystem,the internal loss factor,coupling loss factor and radiation efficiency of FE body according to the theoretical method.And the excitations on engine mount and transfer case suspension were obtained through the real vehicle test data.The obtained parameters and excitations are applied to the hybrid FE-SEA model,and the FE subsystem is modeled in the frequency range of 200~800 Hz.Then,the noise pressure level of the vehicle interior is obtained by simulation prediction,at the same time,compared with the test results,the absolute error is within 7%,showing that the precision of the simulation model is better.Finally,the power contribution of the body panels is analyzed,the main power contribution of the acoustic cavity noise in the cab and the lower part of the tune are obtained.
作者 张勇 王坤祥 盛陈 欧健 孟天 Zhang Yong;Wang Kunxiang;Sheng Chen;Ou Jian;Meng Tian(The Ministry of Education Key Laboratory of Advanced Manufacturing Technology for Automobile Parts,Chongqing University of Technology,Chongqing 400054,China;Institude of Vehicle Engineering,Chongqing University of Technology,Chongqing 400054,China;Chongqing Dajiang Industry Co.,Ltd.,Chongqing 401321,China)
出处 《机械科学与技术》 CSCD 北大核心 2018年第11期1698-1704,共7页 Mechanical Science and Technology for Aerospace Engineering
基金 重庆市教育委员会科学技术研究项目(KJ1600911)资助
关键词 有限元 统计能量分析 混合FE-SEA模型 预测 功率贡献量 finite element statistical energy analysis(SEA) hybrid FE-SEA model prediction power contribution
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