基于组合神经网络的雷诺平均湍流模型 多次修正方法1)
A COMBINED NEURAL NETWORK AND MULTIPLE MODIFICATION STRATEGY FOR REYNOLDS-AVERAGED NAVIER-STOKES TURBULENCE MODELING1)
基于组合神经网络的雷诺平均湍流模型 多次修正方法1) |
| 张珍, 叶舒然, 岳杰顺, 王一伟, 黄晨光 |
|
A COMBINED NEURAL NETWORK AND MULTIPLE MODIFICATION STRATEGY FOR REYNOLDS-AVERAGED NAVIER-STOKES TURBULENCE MODELING1) |
| Zhang Zhen, Ye Shuran, Yue Jieshun, Wang Yiwei, Huang Chenguang |
| 图6 LES预测的$x/h=2, 4, 6$处的应力剖面结果($Re=10 595$), 并与文献[ |
| Fig.6 Predicted stress profiles by LES at $x/h=2, 4, 6$ ($Re=10 595$), and compared with the results of Ref.[ |
|
|