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为了降低高速列车运行时的空气摩擦噪声,仿生鲨鱼皮的表面织构,在高速列车车厢气固界面设计了菱形表面织构,建立了噪声分析模型,采用非结构化混合网格和k-ε模型求解可压缩N-S方程,基于宽频噪声源模型求解噪声分布。计算结果表明:在菱形织构内部产生涡流,使噪声明显降低,同时车厢表面的噪声分布也发生变化;列车产生的空气摩擦噪声随着运行速度的增大而增大,与光滑表面相比,优化对角线比的菱形织构的摩擦噪声的最大降幅为24dB,优化深边比的降幅为20dB。
In order to reduce the air friction noise and bionic shark skin surface texture during high-speed train operation, a diamond-like surface texture was designed on the gas-solid interface of the high-speed train car. A noise analysis model was established. The unstructured mixed meshes and k- The model solves the compressible NS equation and solves the noise distribution based on the wideband noise source model. The calculation results show that the eddy current is generated inside the diamond texture, the noise is obviously reduced and the noise distribution on the surface of the car body also changes. The air friction noise generated by the train increases with the running speed. Compared with the smooth surface, Optimized diagonal ratio of the diamond texture of the frictional noise maximum decline of 24dB, the optimization of deep-edge ratio of 20dB decline.