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基于结构加速度误差最小化的声学预测模型修正

         

摘要

A model modifying method for finite element analysis (FEA) acoustic prediction based on the minimization of structural acceleration response error was presented.The FEA acoustic prediction model was reconstructed in combination with modal damping identification,load identification in frequency domain and the modal superposition method.The error between calculated values and test values of structural acceleration response was minimized by optimizing structural loss factors with the genetic algorithm (GA).Then,the accurate modal damping ratios and exciting forces were identified to optimize parameters of the acoustic prediction model.The comparison between prediction results of the traditional method and the proposed method showed that the proposed method can improve the model prediction precision by accurately identifying a system's modal damping ratios and exciting forces.%针对 FEA(有限元分析)声学预测方法,提出了基于结构加速度响应误差最小化的声学预测模型修正方法。以模态迭加法为基础,结合模态应变能模态阻尼识别和频域载荷识别原理,重构了 FEA 声学预测模型,通过遗传算法优化结构损耗因子,使结构加速度响应计算值与实验值误差最小化,从而识别系统模态阻尼比及激励力,实现对声学预测模型参数的修正。将该方法与传统计算方法预测结果对比,结果表明:该方法可以精确识别系统模态阻尼和激励力,提高模型预测精度。

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