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Separation of convective and acoustic pressure fluctuations on the front side window of DrivAer model based on pellicular mode decomposition

机译:基于颗粒模式分解的牵引模型前侧窗口对流与声压波动的分离

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摘要

When a car is driven at high speed, the total pressure fluctuations on the side window include convective pressure fluctuation and acoustic pressure fluctuation, which have different generation mechanisms, transmission characteristics and efficiency. In order to understand the aerodynamic noise transmission mechanisms through the side window and calculate the aerodynamic noise accurately inside the car, it is necessary to separate these two kinds of pressure fluctuations. Based on the existing full-size DrivAer model, the pellicular mode decomposition theory proposed in recent years was investigated. With this approach, the two pressure fluctuations from a compressible CFD calculation acting on the side window were separated successfully. Through comparison with the pressure data obtained with the improved wavenumber decomposition approach, the reliability and accuracy of the pellicular mode decomposition approach for solving the acoustic pressure fluctuation was validated. Moreover, in comparison with wavenumber decomposition, the pellicular mode decomposition can be applied easily to any surface with arbitrary shape, even the surface curved in 3D. Further advantage of this approach is the ability to reconstruct the pressure field of convective and acoustic components individually at any frequency, which can help to understand the characteristics of these two pressure components. Disadvantage is however the handling of a large number of numerically computed pellicular modes, which is limited in principle by the implementation of finite element method. As a consequence, a reliable convective pressure fluctuation is difficult to be acquired directly with this approach. (C) 2020 Elsevier Ltd. All rights reserved.
机译:当汽车以高速驱动时,侧窗上的总压力波动包括对流压力波动和声压波动,具有不同的产生机制,传输特性和效率。为了了解通过侧窗的空气动力学噪声传输机制并在汽车内精确地计算空气动力学噪声,有必要将这两种压力波动分离。基于现有的全尺寸Drivaer模型,研究了近年来提出的颗粒模分解理论。通过这种方法,成功分离了作用在侧窗上的可压缩CFD计算的两个压力波动。通过与通过改进的波数分解方法获得的压力数据进行比较,验证了用于求解声压波动的透明模式分解方法的可靠性和精度。此外,与波数分解相比,可以容易地用任意形状的任何表面施加透明模式分解,即使在3D中弯曲的表面也是如此。这种方法的进一步优点是能够在任何频率下单独重建对流和声学组件的压力场,这有助于理解这两个压力分量的特性。然而,缺点是处理大量数值计算的骨展模式,其原则上通过实施有限元方法而受到限制。结果,难以通过这种方法直接获得可靠的对流压力波动。 (c)2020 elestvier有限公司保留所有权利。

著录项

  • 来源
    《Applied Acoustics》 |2021年第3期|107755.1-107755.10|共10页
  • 作者单位

    Tongji Univ Sch Automot Studies Shanghai Peoples R China|Tongji Univ Shanghai Automot Wind Tunnel Ctr Shanghai Peoples R China|Tongji Univ Shanghai Key Lab Vehicle Aerodynam & Vehicle Ther Shanghai Peoples R China;

    Tongji Univ Sch Automot Studies Shanghai Peoples R China|Tongji Univ Shanghai Automot Wind Tunnel Ctr Shanghai Peoples R China|Tongji Univ Shanghai Key Lab Vehicle Aerodynam & Vehicle Ther Shanghai Peoples R China;

    Tongji Univ Sch Automot Studies Shanghai Peoples R China|Tongji Univ Shanghai Automot Wind Tunnel Ctr Shanghai Peoples R China|Tongji Univ Shanghai Key Lab Vehicle Aerodynam & Vehicle Ther Shanghai Peoples R China;

    Tongji Univ Sch Automot Studies Shanghai Peoples R China|Tongji Univ Shanghai Automot Wind Tunnel Ctr Shanghai Peoples R China|Tongji Univ Shanghai Key Lab Vehicle Aerodynam & Vehicle Ther Shanghai Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Aerodynamic noise; Convective pressure fluctuation; Acoustic pressure fluctuation; Pellicular mode decomposition; Wavenumber decomposition;

    机译:空气动力学噪声;对流压力波动;声压波动;透明模式分解;波数分解;
  • 入库时间 2022-08-19 01:57:45

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