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7 SANN(2, 1)模型在$M_{t} =0.4$时预测$\tau_{11} $的学习曲线 |
| Fig.7 Learning curves of the proposed SANN(2, 1) model of unclosed SGS terms $\tau_{11} $, at $M_{t} =0.4$ |
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