scholarly journals Prediction of Reynolds stresses in high-Mach-number turbulent boundary layers using physics-informed machine learning

2018 ◽  
Vol 33 (1) ◽  
pp. 1-19 ◽  
Author(s):  
Jian-Xun Wang ◽  
Junji Huang ◽  
Lian Duan ◽  
Heng Xiao
1989 ◽  
Author(s):  
GLOYD SIMMONS ◽  
GORDON NELSON ◽  
ROBERT HIERS ◽  
ARTHURB. WESTERN

1984 ◽  
Vol 37 (1-2) ◽  
Author(s):  
C.S. Wu ◽  
D. Winske ◽  
Y.M. Zhou ◽  
S.T. Tsai ◽  
P. Rodriguez ◽  
...  

2013 ◽  
Vol 9 (1) ◽  
pp. 187-191 ◽  
Author(s):  
T. Morita ◽  
Y. Sakawa ◽  
Y. Kuramitsu ◽  
S. Dono ◽  
H. Tanji ◽  
...  

2013 ◽  
Vol 8 (4) ◽  
pp. 64-75
Author(s):  
Sergey Gaponov ◽  
Natalya Terekhova

This work continues the research on modeling of passive methods of management of flow regimes in the boundary layers of compressed gas. Authors consider the influence of pressure gradient on the evolution of perturbations of different nature. For low Mach number M = 2 increase in pressure contributes to an earlier transition of laminar to turbulent flow, and, on the contrary, drop in the pressure leads to a prolongation of the transition to turbulence. For high Mach number M = 5.35 found that the acoustic disturbances exhibit a very high dependence on the sign and magnitude of the external gradient, with a favorable gradient of the critical Reynolds number becomes smaller than the vortex disturbances, and at worst – boundary layer is destabilized directly on the leading edge


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