Croaker Paul, Mimani Akhilesh, Doolan Con, Kessissoglou Nicole
School of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney, New South Wales, 2052, Australia.
J Acoust Soc Am. 2018 Apr;143(4):2301. doi: 10.1121/1.5031113.
A simulation technique to analyse flow-induced noise problems that combines computational fluid dynamics (CFD), the boundary element method (BEM) and an aeroacoustic time-reversal (TR) source localisation method is presented. Hydrodynamic data are obtained from a high-fidelity CFD simulation of flow past a body and aeroacoustic sources are extracted based on Lighthill's acoustic analogy. The incident pressure field on the body due to the aeroacoustic sources is combined with a BEM representation of the body to obtain the spectrum of the direct, scattered and total acoustic pressure fields at far-field microphone locations. The microphone data are then used as input for the time-reversal simulations which are implemented by numerically solving two-dimensional linearized Euler equations. Decomposing the far-field pressure enables the TR simulation of the direct, scattered and total acoustic fields to be performed separately which yields the location and nature of the corresponding aeroacoustic sources. To demonstrate the hybrid CFD-BEM-TR technique, the sound generated by a cylinder in low Mach number cross-flow is considered. The nature of the aeroacoustic sources at the vortex shedding frequency and its second harmonic for the direct, scattered and total fields are identified.
提出了一种结合计算流体动力学(CFD)、边界元法(BEM)和气动声学时间反转(TR)源定位方法来分析流动诱导噪声问题的模拟技术。通过对绕物体流动的高保真CFD模拟获得流体动力学数据,并基于莱特希尔声学类比提取气动声源。将气动声源在物体上产生的入射压力场与物体的BEM表示相结合,以获得远场麦克风位置处的直接、散射和总声压场的频谱。然后将麦克风数据用作时间反转模拟的输入,该模拟通过数值求解二维线性化欧拉方程来实现。分解远场压力使得能够分别对直接、散射和总声场进行TR模拟,从而得到相应气动声源的位置和特性。为了演示CFD-BEM-TR混合技术,考虑了低马赫数横向流中圆柱体产生的声音。确定了在涡街频率及其二次谐波下直接、散射和总场的气动声源特性。