TY - JOUR
T1 - Variational multiscale error estimators for the adaptive mesh refinement of compressible flow simulations
AU - Bayona-Roa, Camilo
AU - Codina, Ramon
AU - Baiges, Joan
N1 - Publisher Copyright:
© 2018 Elsevier B.V.
PY - 2018/8/1
Y1 - 2018/8/1
N2 - This article investigates an explicit a-posteriori error estimator for the finite element approximation of the compressible Navier–Stokes equations. The proposed methodology employs the Variational Multi-Scale framework, and specifically, the idea is to use the variational subscales to estimate the error. These subscales are defined to be orthogonal to the finite element space, dynamic and non-linear, and both the subscales in the interior of the element and on the element boundaries are considered. Another particularity of the model is that we define some norms that lead to a dimensionally consistent measure of the compressible flow solution error inside each element; a scaled L2-norm, and the calculation of a physical entropy measure, are both studied in this work. The estimation of the error is used to drive the adaptive mesh refinement of several compressible flow simulations. Numerical results demonstrate good accuracy of the local error estimate and the ability to drive the adaptative mesh refinement to minimize the error through the computational domain.
AB - This article investigates an explicit a-posteriori error estimator for the finite element approximation of the compressible Navier–Stokes equations. The proposed methodology employs the Variational Multi-Scale framework, and specifically, the idea is to use the variational subscales to estimate the error. These subscales are defined to be orthogonal to the finite element space, dynamic and non-linear, and both the subscales in the interior of the element and on the element boundaries are considered. Another particularity of the model is that we define some norms that lead to a dimensionally consistent measure of the compressible flow solution error inside each element; a scaled L2-norm, and the calculation of a physical entropy measure, are both studied in this work. The estimation of the error is used to drive the adaptive mesh refinement of several compressible flow simulations. Numerical results demonstrate good accuracy of the local error estimate and the ability to drive the adaptative mesh refinement to minimize the error through the computational domain.
KW - A-posteriori local error estimation
KW - Adaptive Mesh Refinement (AMR)
KW - Compressible Navier–Stokes equations
KW - Orthogonal Sub-Grid Scales (OSGS)
KW - Variational Multi-Scale (VMS) method
UR - http://www.scopus.com/inward/record.url?scp=85046010728&partnerID=8YFLogxK
U2 - 10.1016/j.cma.2018.03.010
DO - 10.1016/j.cma.2018.03.010
M3 - Article
AN - SCOPUS:85046010728
SN - 0045-7825
VL - 337
SP - 501
EP - 526
JO - Computer Methods in Applied Mechanics and Engineering
JF - Computer Methods in Applied Mechanics and Engineering
ER -