New Approach for Error Reduction in the Volume Penalization Method

TL;DR

This paper introduces a modified mask function for the volume penalization method that reduces numerical error by shifting the interface based on viscosity and permeability, improving accuracy in fluid simulations.

Contribution

The paper proposes a novel interface shift in the volume penalization method, derived from analytical solutions, to enhance error reduction in fluid flow simulations.

Findings

Error is reduced with the new approach, achieving overall second-order accuracy.

Error converges to a non-zero constant with the original mask function.

Effectiveness depends on grid resolution and boundary layer resolution.

Abstract

A new approach for reducing error of the volume penalization method is proposed. The mask function is modified by shifting the interface between solid and fluid by ({\nu}{\eta})^0.5 toward the fluid region, where {\nu} and {\eta} are the viscosity and the permeability, respectively. The shift length ({\nu}{\eta})^0.5 is derived from the analytical solution of the one-dimensional diffusion equation with a penalization term. The effect of the error reduction is verified numerically for the one-dimensional diffusion equation, Burgers' equation, and the two-dimensional Navier-Stokes equations. The results show that the numerical error is reduced except in the vicinity of the interface showing overall second-order accuracy, while it converges to a non-zero constant value as the number of grid points increases for the original mask function. However, the new approach is effective when the grid resolution is sufficiently high so that the boundary layer, whose width is proportional to ({\nu}{\eta})^0.5, is resolved. Hence, the approach should be used when an appropriate combination of {\nu} and {\eta} is chosen with a given numerical grid.