Abstract:In the paper, by using statistical energy analysis (SEA) method, the vehicle dash SEA model to calculate the transmission loss (TL) is firstly established. By using the optimal latin hypercube method, 36 test points of the dash sound package are generated, which are based on four design variables in terms of coverage, blocking thickness of the holes, PU foam thickness and EVA surface density and two optimization targets in terms of the insulation performance and the weight of the sound package. And the TLs of different sound package cases are calculated. Then the kriging approximation model can be built and also verified. The multi-objective optimizations of the insulation performance and the weight of sound package are performed by NSGA-II algorithm, then pareto optimal solution set is obtained. The optimal values of coverage,blocking thickness, PU foam thickness and EVA surface density are obtained by giving the same weight of the insulation performance and the sound package weight, and the result is also verified based on the TL and full vehicle results in terms of power based noise reduction (PBNR) and sound pressure level (SPL) at the driver’s head by three random test points. The result shows that the best balance between the insulation performance and the weight for the dash sound package can be acquired by the optimal values.
吴宪1,王成1,邵建旺1,邓国明1. 基于Kriging模型及NSGA-II算法的前围声学包优化[J]. 振动与冲击, 2016, 35(22): 226-231.
Wu Xian1 Wang Cheng1 Shao Jianwang1 Deng Guoming1. Dash Sound Package Optimization Based on Kriging model and NSGA-II. JOURNAL OF VIBRATION AND SHOCK, 2016, 35(22): 226-231.
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