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6 SANN模型的输入参数: ($R_{s} ,R_{g} )=(2, 2)$ |
| Fig.6 Input variables for the SANN model: ($R_{s} ,R_{g} )=(2, 2)$} |
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