Optimal low-dispersion low-dissipation LBM schemes for computational aeroacoustics

TL;DR

This paper develops an optimized low-dispersion, low-dissipation MRT-LBM scheme for computational aeroacoustics, improving accuracy and stability in simulating weak acoustic fluctuations.

Contribution

It introduces a dispersion-relation-preserving MRT-LBM by optimizing free parameters to reduce errors and enhance stability in aeroacoustic simulations.

Findings

Reduced dispersion errors in MRT-LBM

Enhanced dissipation accuracy

Validated stability for small bulk viscosity

Abstract

Lattice Boltmzmann Methods (LBM) have been proved to be very effective methods for computational aeroacoustics (CAA), which have been used to capture the dynamics of weak acoustic fluctuations. In this paper, we propose a strategy to reduce the dispersive and disspative errors of the two-dimensional (2D) multi-relaxation-time lattice Boltzmann method (MRT-LBM). By presenting an effective algorithm, we obtain a uniform form of the linearized Navier-Stokes equations corresponding to the MRT-LBM in wave-number space. Using the matrix perturbation theory and the equivalent modified equation approach for finite difference methods, we propose a class of minimization problems to optimize the free-parameters in the MRT-LBM. We obtain this way a dispersion-relation-preserving LBM (DRP-LBM) to circumvent the minimized dispersion error of the MRT-LBM. The dissipation relation precision is also improved.And the stability of the MRT-LBM with the small bulk viscosity is guaranteed. Von Neuman analysis of the linearized MRT-LBM is performed to validate the optimized dispersion/dissipation relations considering monochromatic wave solutions. Meanwhile, dispersion and dissipation errors of the optimized MRT-LBM are quantitatively compared with the original MRT-LBM . Finally, some numerical simulations are carried out to assess the new optimized MRT-LBM schemes.