| Citation: | YANG Maotao, LIANG Shuang, YI Miaorong, et al. Identification of turbulence eddy viscosity coefficient in supersonic isolation section based on deep neural network[J]. Journal of Aerospace Power, 2023, 38（2）：312-324 doi: 10.13224/j.cnki.jasp.20220168
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The Reynolds-averaged Navier-Stokes (RANS) equation is still widely used in engineering design due to its low computational cost. In order to further improve the calculation accuracy and reduce the time, a deep neural network (deep neural networks, DNN) method was applied to adaptively identify the steady-state turbulent eddy viscosity coefficient. Taking the detection flow field generated at the front edge of the shock train in the isolation section as an example, the Wilcox-2006
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