基于混合FE-SEA方法的汽车驾驶室声学包优化设计
Optimization design of automotive cab acoustic package based on hybrid FE-SEA method
王一鸣 1卢剑伟1
作者信息
- 1. 合肥工业大学 汽车与交通工程学院,安徽 合肥 230009
- 折叠
摘要
以某车型为研究对象,基于混合有限元——统计能量方法建立了驾驶室的中频噪声预测模型,通过实车试验,获取待测工况下的激励信号,并验证构建的驾驶室混合FE-SEA模型的准确性;然后分析车内噪声贡献度,确定声学包优化的主要方向,采用拉丁超立方设计方法,以此构建克里金近似模型.基于遗传算法对声学包布置参数进行优化设计,并验证了优化方案效果.结果表明,合理优化关键板件的声学包布置参数能够有效降低驾驶室噪声水平.
Abstract
Taking a vehicle model as the research object,an intermediate frequency noise prediction model of the cab was established based on the hybrid finite element statistical energy method.Then,through the real vehicle test,the signals under the text conditions were obtained,and the accuracy of the constructed hybrid FE-SEA model of the cab was verified.Then,through the analysis of the contribution of the interior noise,the main direction of the optimization of the acoustic package was determined.The Latin hypercube sampling method was used for design of experiments,based on this,a Kriging approximation model was constructed,and the acoustic package layout parameters were optimized using genetic algorithm.The effectiveness of the optimization scheme was verified.The optimization results showed that reasonable optimization of the acoustic package layout parameters of key panels can effectively reduce the noise level in the cab.
关键词
混合FE-SEA方法/汽车驾驶室/实车工况测试/声学包/多目标优化Key words
hybrid FE-SEA method/car cab/real vehicle operating condition testing/acoustic package/multi-objective optimization引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据