Synthetic turbulence generator for lattice Boltzmann method at the interface between RANS and LES

The paper presents a synthetic turbulence generator (STG) for the lattice Boltzmann method (LBM) at the interface of the Reynolds averaged Navier-Stokes (BANS) equations and the LBM large eddy simulation (LES). We first obtain the RANS velocity field from a finite volume solver at the interface. Then, we apply a numerical interpolation from the RANS velocity field to the LBM velocity field due to the different grid types of BANS and LBM. The STG method generates the velocity fluctuations, and the regularized LBM reconstructs the particle distribution functions at the interface. We perform a turbulent channel flow simulation at Re-tau = 180 with the STG at the inlet and the pressure-free boundary condition at the outlet. The velocity field is quantitatively compared with the periodic lattice Boltzmann based LES (LES-LBM) channel flow and the direct numerical simulation (DNS) channel flow. Both the adaptation length and time for the STG method are evaluated. Also, we compare the STG-LBM channel flow results with the existing LBM synthetic eddy method (SEM-LBM) results. Our numerical investigations show good agreement with the DNS and periodic LES-LBM channel flow within a short adaptation length. The adaptation time for the turbulent channel flow is quantitatively analyzed and matches the DNS around 1.5-3 domain flow-through time. Finally, we check the auto-correlation for the velocity components at different cross sections of the streamwise direction. The proposed STG-LBM is observed to be both fast and robust. The findings show good potential for the hybrid RANS/LES-LBM based solver on the aerodynamics simulations and a broad spectrum of engineering applications. Published under an exclusive license by AIP Publishing.

Automated summary

This paper presents a synthetic turbulence generator (STG) for the interface of Reynolds averaged Navier-Stokes (RANS) equations and lattice Boltzmann method (LBM) large eddy simulation (LES). The STG method generates velocity fluctuations and reconstructs particle distribution functions at the interface. The results from a turbulent channel flow simulation using the STG method are quantitatively compared with other simulations and show good agreement. This method shows potential for aerodynamics simulations and engineering applications.