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| Modified model for acoustic prediction based on acceleration error minimization |
| XU Zhong-ming 1,2 ,HE Zhi-qiao 2,HE Yan-song 1,2 ,ZHANG Zhi-fei 1,2 ,XIA Xiao-jun 2 |
1. State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400030, China;
2. College of Vehicle Engineering, Chongqing University, Chongqing 400030, China |
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Abstract A model modifying method for FEA (finite element analysis) acoustic prediction based on the minimization of structural acceleration response error is presented. FEA acoustic prediction model is reconstructed in combination with modal damping identification, load identification and modal superposition method. The error between calculated value and actual value of structure acceleration response is minimized by optimizing structural loss factors with Genetic Algorithm (GA).Then, the accurate modal damping ratio and exciting forces can be identified to optimize the parameters of acoustic prediction model. The results of comparison between prediction effect of traditional method and method presented in this paper show that, this method can improve the model prediction precision by accurately identifying the system modal damping ratio and exciting forces.
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Received: 02 April 2015
Published: 25 April 2016
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