Characterization of Fluctuating Pressure Excitation of Vehicle Side Windows Under High-Speed Operating Conditions
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1.School of Automotive Studies, Tongji University, Shanghai 201804, China;2.Shanghai Key Lab of Vehicle Aerodynamics and Vehicle Thermal Management Systems, Shanghai 201804, China;3.Predevelopment of Product Engineering Department, Shanghai Volkswagen Automotive Co., Ltd., Shanghai 201805, China

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U461.1

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    Abstract:

    A numerical model is proposed to accurately and efficiently separate the pulsating pressure of side windows in the frequency range of 100~10 000 Hz to address the problem of interior noise caused by pulsating pressure at side windows in high-speed driving conditions. First, the shear stress transfer delayed detached-eddy simulation (SST-DDES) turbulence model is used to simulate and analyze the external flow field of the vehicle body. The analysis model for the external flow field of the entire vehicle is established the turbulence cloud map, the velocity streamline map, and the pressure cloud map at side windows are analyzed, which are compared with the wind tunnel test analysis. The simulation results are in good agreement with the wind tunnel test. The excitation characteristics of side window fluctuating surface pressure is studied based on the improved periodogram method. By analyzing the wavenumber frequency spectrum characteristics, a numerical model is established to separate the convective and acoustic components of fluctuating surface pressure. Based on the interpolation accuracy analysis of fluctuating surface pressure data points, the convective and acoustic components in the frequency range of 100~10 000 Hz are analyzed, and the analysis results and solution time are compared with those of the commercial software VA One. The accuracy and computational efficiency of the numerical model for fluctuating surface pressure separation are validated.

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JIANG Zuxiao, ZHANG Lijun, XING Peng. Characterization of Fluctuating Pressure Excitation of Vehicle Side Windows Under High-Speed Operating Conditions[J].同济大学学报(自然科学版),2025,53(8):1276~1284

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  • Received:February 14,2024
  • Revised:
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  • Online: August 31,2025
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