The invention discloses a strong shear turbulence grid adaptive
simulation method coupled with a k-epsilon series model. The method mainly comprises the following steps of: 1, judging whether a shielding function is applied or not; step 2, identifying a self-adaptive
length scale of a shear layer; 3, constructing a scale-related adjustment function based on the turbulence
energy spectrum integral; 4, reconstructing the turbulence
viscosity of the k-epsilon series model by using an adjustment function; and 5, performing turbulence
simulation by using the reconstructed turbulence
viscosity. According to the method, the self-adaptive sub-grid
length scale of the shear layer is constructed and introduced into the initial region of the quasi-two-dimensional free shear layer, so that the sub-grid
length scale of the initial region of the free shear layer is effectively reduced, and the problem that an existing RANS-LES
hybrid model is highly dependent on grids is solved. The calculation accuracy is improved, meanwhile, the calculation consumption is greatly reduced, the turbulence
simulation process is remarkably accelerated, and an effective numerical simulation method is provided for solving low-consumption and high-precision simulation of strong
shear flow in the complex
engineering flow problem.