TY - JOUR
T1 - An improved penalty method for power-law Stokes problems
AU - Borggaard, Jeff
AU - Iliescu, Traian
AU - Roop, John
PY - 2009
Y1 - 2009
N2 - For the numerical approximation of fluid flow phenomena, it is often highly desirable to decouple the equations defining conservation of momentum and conservation of mass by using a penalty function method. The current penalty function methods for power-law Stokes fluids converge at a sublinear rate with respect to the penalty parameter. In this article, we show theoretically and numerically that a linear penalty function approximation to a power-law Stokes problem yields a higher-order accuracy over the known nonlinear penalty method. Theoretically, finite element approximation of the linear penalty function method is shown to satisfy an improved order of approximation with respect to the penalty parameter. The numerical experiments presented in the paper support the theoretical results and satisfy a linear order of approximation. © 2008 Elsevier B.V. All rights reserved.
AB - For the numerical approximation of fluid flow phenomena, it is often highly desirable to decouple the equations defining conservation of momentum and conservation of mass by using a penalty function method. The current penalty function methods for power-law Stokes fluids converge at a sublinear rate with respect to the penalty parameter. In this article, we show theoretically and numerically that a linear penalty function approximation to a power-law Stokes problem yields a higher-order accuracy over the known nonlinear penalty method. Theoretically, finite element approximation of the linear penalty function method is shown to satisfy an improved order of approximation with respect to the penalty parameter. The numerical experiments presented in the paper support the theoretical results and satisfy a linear order of approximation. © 2008 Elsevier B.V. All rights reserved.
UR - https://dx.doi.org/10.1016/j.cam.2008.02.002
U2 - 10.1016/j.cam.2008.02.002
DO - 10.1016/j.cam.2008.02.002
M3 - Article
VL - 223
JO - Journal of Computational and Applied Mathematics
JF - Journal of Computational and Applied Mathematics
IS - Issue 2
ER -