基于人工神经网络的湍流大涡模拟方法 1)
ARTIFICIAL NEURAL NETWORK-BASED SUBGRID-SCALE MODELS FOR LARGE-EDDY SIMULATION OF TURBULENCE 1)
基于人工神经网络的湍流大涡模拟方法 1) |
| 谢晨月, 袁泽龙, 王建春, 万敏平, 陈十一 |
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ARTIFICIAL NEURAL NETWORK-BASED SUBGRID-SCALE MODELS FOR LARGE-EDDY SIMULATION OF TURBULENCE 1) |
| Xie Chenyu, Yuan Zelong, Wang Jianchun, Wan Minping, Chen Shiyi |
| 图12 $t/\tau =5$情况下的瞬态归一化涡量$\tilde{{\omega }}/\tilde{{\omega }}^{rms}$云图, 其中LES网格为64$^{3}(h_{LES} =\varDelta /2)$, 滤波宽度为$\varDelta =32\delta x$ |
| Fig.12 Contours of the normalized vorticity magnitude $\tilde{{\omega }}/\tilde{{\omega }}^{rms}$ on an arbitrarily selected $x$--$y$ slice, at $t/\tau =5$ for LES at grid resolution\\[-1.3mm] of 64$^{3}(h_{LES} =\varDelta /2)$ with the filter width $\varDelta =32\delta x$} |
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