A hybrid recursive regularized lattice Boltzmann model with overset grids for rotating geometries

Simulating rotating geometries in fluid flows for industrial applications remains a challenging task for general fluid solvers and in particular for the lattice Boltzmann method (LBM) due to inherent stability and accuracy problems. This work proposes an original method based on the widely used overset grids (or Chimera grids) while being integrated with a recent and optimized LBM collision operator, the hybrid recursive regularized model (HRR). The overset grids are used to actualize the rotating geometries where both the rotating and fixed meshes exist simultaneously. In the rotating mesh, the fictitious forces generated from its non-inertial rotating reference frame are taken into account by using a second order discrete forcing term. The fixed and rotating grids communicate with each other through the interpolation of the macroscopic variables. Meanwhile, the HRR collision model is selected to enhance the stability and accuracy properties of the LBM simulations by filtering out redundant higher order non-equilibrium tensors. The robustness of the overset HRR algorithm is assessed on different configurations, undergoing mid-to-high Reynolds number flows, and the method successfully demonstrates its robustness while exhibiting the second order accuracy.

Automated summary

Simulating rotating geometries in fluid flows for industrial applications poses challenges for general fluid solvers, including the lattice Boltzmann method. This study introduces a novel approach integrating overset grids and an optimized collision operator to enhance stability and accuracy in LBM simulations. The robustness and second order accuracy of the overset HRR algorithm are demonstrated in various flow configurations with mid-to-high Reynolds numbers.