水动力学研究与进展 B辑
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水动力学研究与进展 B辑
2020年2期
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目录
Liutex theoretical system and six core elements of vortex identification *
Numerical techniques for coupling hydrodynamic problems in ship and ocean engineering*
Deep reinforcement learning in fluid mechanics:A promising method for both active flow control and shape optimization*
Active flow control using machine learning:A brief review *
Active flow control with rotating cylinders by an artificial neural network trained by deep reinforcement learning*
An unstructured mesh method for numerical simulation of violent sloshing flows*
A sharp-interface immersed smoothed point interpolation method with improved massconservation for fluid-structure interaction problems*
Vortex identification methodsin marine hydrodynamics*
Law-of-the-wall analytical formulationsfor Type-A turbulent boundary layers*
Mean flow and turbulence structure of open channel flow with suspended vegetation*
Detached-eddy simulation of turbulent coherent structures around groynes in a trapezoidal open channel*
Experimental study of anti-cavitation mechanism of valve lintel natural aeration of high head lock*
Large eddy simulation of the transient cavitating vortical flow in a jet pump with special emphasison theunstable limited operation stage*
Evolution characteristicsand quantization of wave period variation for breaking waves*
Erosion characteristics and mechanism of the self-resonating cavitating jet impacting aluminum specimensunder theconfining pressure conditions*
Experimental study of wave propagation characteristics on a simplified coral reef *
Large eddy simulation of cavitating flows with dynamic adaptive mesh refinement using OpenFOAM*
Fin performance of 3-D aerator deviceswith backward lateral deflectors*