arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2302.05809physics.flu-dyn
收藏

基于大涡模拟和小波变换的翼型后缘噪声源识别

Airfoil trailing-edge noise source identification using large-eddy simulation and wavelet transform

Seongkyu Lee, Donghun Kang, Davy Joao Etienne Brouzet, Sanjiva K. Lele

摘要:

采用壁面分辨大涡模拟和小波变换对NACA 0012翼型在马赫数为0.06、雷诺数为400,000、采用阶梯带强迫转捩和自然转捩时的翼型噪声进行了预测和分析。在大迎角时,吸力面出现旋涡脱落和层流分离泡(LSB)。LSB触发强制和自然转换情况下的流转换。采用小波阈值去噪算法将压力场分解为相干或去噪压力和非相干或背景噪声压力。这种去噪技术提供了真实噪声生成和传播的清晰画面。当存在多个噪声源时,它还揭示了特定频率下的主导噪声源。在另一种用法中,具有下采样的小波阈值算法基于流结构分离噪声。例如,小波方法分离低频涡旋脱落噪声和高频LSB噪声以及后缘噪声之间的噪声。最后,利用近场压力和远场压力之间的相干性,利用小波变换对近表面的水动力和声压分量进行分解。总体而言,基于小波分解是一个有价值的工具,研究和揭示翼型噪声产生的机制。

英文摘要:

Airfoil noise is predicted and analyzed using wall-resolved large-eddy simulations and wavelet transforms for a NACA 0012 airfoil at a Mach number of 0.06 and a Reynolds number of 400,000 using a stair-strip forced transition and a natural transition. At a high angle of attack, vortex shedding and a laminar separation bubble (LSB) occur on the suction side. The LSB triggers the flow transition for both the forced and natural transition cases. The wavelet thresholding and denoising algorithm is used to decompose the pressure fields into the coherent or denoised pressure and the incoherent or background noise pressure. This denoising technique provides a clear picture of true noise generation and propagation. It also reveals the dominant noise source at specific frequencies when multiple noise sources are present. In another usage, the wavelet thresholding algorithm with down-sampling separates noise on the basis of flow structures. For example, the wavelet method separates noise between low-frequency vortex shedding noise and high-frequency LSB noise as well as trailing-edge noise. Finally, the wavelet transform is used to decompose the hydrodynamic and acoustic pressure components near the surface using the coherence between near-field pressure and far-field pressure. Overall, the wavelet-based decomposition is a valuable tool to study and reveal the mechanisms of airfoil noise generation.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑