TY - JOUR
T1 - A new approach for error reduction in the volume penalizationmethod
AU - Iwakami, Wakana
AU - Yatagai, Yuzuru
AU - Hatakeyama, Nozomu
AU - Hattori, Yuji
N1 - Publisher Copyright:
© 2014 Global-Science Press.
PY - 2014/11/1
Y1 - 2014/11/1
N2 - 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 effectivewhen 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.
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 effectivewhen 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.
KW - Compact scheme
KW - Error reduction
KW - Immersed boundary method
KW - Volume penalization method
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U2 - 10.4208/cicp.220513.070514a
DO - 10.4208/cicp.220513.070514a
M3 - Article
AN - SCOPUS:84907210438
SN - 1815-2406
VL - 16
SP - 1181
EP - 1200
JO - Communications in Computational Physics
JF - Communications in Computational Physics
IS - 5
ER -