A time-domain inverse method for the localization and quantification of unsteady rotating loading sources
A time-domain inverse method for the localization and quantification of unsteady rotating loading sources
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非定常旋转载荷源定位和量化的时域反演方法
DOI：
10.1016/j.jsv.2021.116405
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发表时间：
2021-11
影响因子：
4.7
通讯作者：
Zhang Xiao-Zheng
中科院分区：
文献类型：
--
作者：
Bi Chuan-Xing;Xu Ying;Zhang Yong-Bin;Zhang Xiao-Zheng
非定常旋转力产生的气动载荷噪声分析在气动声学研究中具有重要意义。然而，在实际工作中，非定常旋转载荷源的位置和强度信息的获取仍然是一个难点。本文基于Ffowcs Williams-Hawkings方程的Farassat积分解，提出了一种非定常旋转载荷源定位和定量的时域反演方法。在该方法中，首先将非定常旋转力与辐射声场相关联的分析直接模型离散化，然后通过时域反演程序从测量的压力重建非定常旋转力。与以往的逆气动声学方法不同，该方法能够在笛卡尔坐标系下重建非定常旋转力三个分量的时间历程，从而实时准确定位声源位置并定量估计声源强度。两个非定常旋转点力的数值模拟和无人机旋转叶片的实验验证了所提出方法的有效性。
Analysis of aerodynamic loading noise generated by unsteady rotating forces is of great significance in aeroacoustics research. However, it is still difficult to obtain the position and strength information of unsteady rotating loading sources in practice. In this paper, a time-domain inverse method for the localization and quantification of unsteady rotating loading sources is proposed, based on the Farassat integral solution of the Ffowcs Williams-Hawkings equation with the monopole and quadrupole source terms being neglected. In this method, the analytical direct model that relates the unsteady rotating forces to the radiated sound field is first discretized, and then the unsteady rotating forces are reconstructed from the measured pressures via a time-domain inversion procedure. Different from the previous inverse aeroacoustic methods, the proposed method can reconstruct the time histories of the three components of the unsteady rotating forces in the Cartesian coordinate system, thereby accurately locating the source positions and quantitatively estimating the source strengths in a real-time way. Numerical simulations with two unsteady rotating point forces and experiments with the rotating blades of an unmanned aerial vehicle examine the validity of the proposed method.
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影响因子：
4.7
作者：
Wei Ma;Huan Bao;Ce Zhang;Xun Liu
通讯作者：
Wei Ma;Huan Bao;Ce Zhang;Xun Liu
DOI：
10.1115/96-gt-401
发表时间：
1996-06
期刊：
--
影响因子：
--
作者：
M. Staiger;H. Stetter
通讯作者：
M. Staiger;H. Stetter
影响因子：
3.4
作者：
Zhongjie Huang;Leonidas Siozos-Rousoulis;Tim De Troyer;G. Ghorbaniasl
通讯作者：
Zhongjie Huang;Leonidas Siozos-Rousoulis;Tim De Troyer;G. Ghorbaniasl
影响因子：
5.6
作者：
Chu, Ning;Huang, Qian;Wu, Dazhuan
通讯作者：
Wu, Dazhuan
DOI：
--
发表时间：
2004
期刊：
--
影响因子：
--
作者：
P. Sijtsma
通讯作者：
P. Sijtsma