Volume 16, Issue 5
A New Approach for Error Reduction in the Volume Penalization Method

Wakana Iwakami, Yuzuru Yatagai, Nozomu Hatakeyama & Yuji Hattori

Commun. Comput. Phys., 16 (2014), pp. 1181-1200.

Published online: 2014-11

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  • 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 $√νη$ toward the fluid region, where ν and η are the viscosity and the permeability, respectively. The shift length $√νη$ 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 $√νη$, is resolved. Hence, the approach should be used when an appropriate combination of ν and η is chosen with a given numerical grid.

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@Article{CiCP-16-1181, author = {}, title = {A New Approach for Error Reduction in the Volume Penalization Method}, journal = {Communications in Computational Physics}, year = {2014}, volume = {16}, number = {5}, pages = {1181--1200}, 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 $√νη$ toward the fluid region, where ν and η are the viscosity and the permeability, respectively. The shift length $√νη$ 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 $√νη$, is resolved. Hence, the approach should be used when an appropriate combination of ν and η is chosen with a given numerical grid.

}, issn = {1991-7120}, doi = {https://doi.org/10.4208/cicp.220513.070514a}, url = {http://global-sci.org/intro/article_detail/cicp/7077.html} }
TY - JOUR T1 - A New Approach for Error Reduction in the Volume Penalization Method JO - Communications in Computational Physics VL - 5 SP - 1181 EP - 1200 PY - 2014 DA - 2014/11 SN - 16 DO - http://doi.org/10.4208/cicp.220513.070514a UR - https://global-sci.org/intro/article_detail/cicp/7077.html KW - AB -

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 $√νη$ toward the fluid region, where ν and η are the viscosity and the permeability, respectively. The shift length $√νη$ 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 $√νη$, is resolved. Hence, the approach should be used when an appropriate combination of ν and η is chosen with a given numerical grid.

Wakana Iwakami, Yuzuru Yatagai, Nozomu Hatakeyama & Yuji Hattori. (2020). A New Approach for Error Reduction in the Volume Penalization Method. Communications in Computational Physics. 16 (5). 1181-1200. doi:10.4208/cicp.220513.070514a
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