Influence of grid resolution on the spectral characteristics of noise radiated from turbulent jets: Sound pressure fields and their decomposition
Influence of grid resolution on the spectral characteristics of noise radiated from turbulent jets: Sound pressure fields and their decomposition
复制标题
网格分辨率对湍流射流辐射噪声频谱特性的影响:声压场及其分解
DOI:
10.1016/j.compfluid.2019.104343
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发表时间:
2020
影响因子:
2.8
通讯作者:
Angelino M
中科院分区:
文献类型:
--
作者:
Angelino M
Jet noise remains a key target for aircraft noise reduction in the foreseeable future. While being extremely challenging, the requirement of predicting both low and high frequency noise spectra is increasingly important for design purposes. Novel approaches are needed to overcome the current numerical limitations in capturing the required broad noise spectra. Once sufficiently resolved, the energy contents of the numerically simulated near- and far-field sound pressure have intrinsic correlations among different levels of grid resolution. The present work explores the novel potential of such correlations to broaden the spectral prediction. The noise radiated from high subsonic turbulent jets is investigated using large-eddy simulation. The 3-D filtered compressible Navier-Stokes solutions are obtained for an axisymmetric and a serrated nozzle on successively refined multi-resolution grids, ranging from 5 to 80 million grid points. The radiated far-field sound is computed using the Ffowcs Williams – Hawkings (FW-H) surface integral method. Fourier decomposition for pressure near-field is applied to help identify the location of the sound source regions and the dominant directions of propagation, which provides a more thorough understanding of the effect of the grid resolution on the numerical cut-off frequencies of the far-field spectra. Further analysis of the far-field spectra and of their azimuthal modes confirms that a novel strategy to obtain a broadened overall sound spectrum is possible, at reduced computational cost, from a combination of multiple spectra from successively refined grids.
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影响因子:
2.5
作者:
A. Uzun;M. Y. Hussaini
通讯作者:
M. Y. Hussaini
DOI:
--
发表时间:
2017
期刊:
影响因子:
--
作者:
J. Tyacke;Zhong;P. Tucker
通讯作者:
P. Tucker
DOI:
--
发表时间:
2009
期刊:
影响因子:
--
作者:
Guillaume Bodard;C. Bailly
通讯作者:
C. Bailly
DOI:
10.1080/10407782.2016.1139986
发表时间:
2016-05
期刊:
Numerical Heat Transfer, Part A: Applications
影响因子:
--
作者:
A. Boghi;M. Angelino;F. Gori
通讯作者:
A. Boghi;M. Angelino;F. Gori
影响因子:
2.5
作者:
B. Callender;E. Gutmark;S. Martens
通讯作者:
B. Callender;E. Gutmark;S. Martens