TY - JOUR
T1 - A reduced order variational multiscale approach for turbulent flows
AU - Stabile, Giovanni
AU - Ballarin, Francesco
AU - Zuccarino, Giacomo
AU - Rozza, Gianluigi
PY - 2019
Y1 - 2019
N2 - The purpose of this work is to present different reduced order model strategies starting from full order simulations stabilized using a residual-based variational multiscale (VMS) approach. The focus is on flows with moderately high Reynolds numbers. The reduced order models (ROMs) presented in this manuscript are based on a POD-Galerkin approach. Two different reduced order models are presented, which differ on the stabilization used during the Galerkin projection. In the first case, the VMS stabilization method is used at both the full order and the reduced order levels. In the second case, the VMS stabilization is used only at the full order level, while the projection of the standard Navier-Stokes equations is performed instead at the reduced order level. The former method is denoted as consistent ROM, while the latter is named non-consistent ROM, in order to underline the different choices made at the two levels. Particular attention is also devoted to the role of inf-sup stabilization by means of supremizers in ROMs based on a VMS formulation. Finally, the developed methods are tested on a numerical benchmark.
AB - The purpose of this work is to present different reduced order model strategies starting from full order simulations stabilized using a residual-based variational multiscale (VMS) approach. The focus is on flows with moderately high Reynolds numbers. The reduced order models (ROMs) presented in this manuscript are based on a POD-Galerkin approach. Two different reduced order models are presented, which differ on the stabilization used during the Galerkin projection. In the first case, the VMS stabilization method is used at both the full order and the reduced order levels. In the second case, the VMS stabilization is used only at the full order level, while the projection of the standard Navier-Stokes equations is performed instead at the reduced order level. The former method is denoted as consistent ROM, while the latter is named non-consistent ROM, in order to underline the different choices made at the two levels. Particular attention is also devoted to the role of inf-sup stabilization by means of supremizers in ROMs based on a VMS formulation. Finally, the developed methods are tested on a numerical benchmark.
KW - High Reynolds number flows
KW - Navier-Stokes equations
KW - Reduced order methods
KW - Variational multiscale
KW - High Reynolds number flows
KW - Navier-Stokes equations
KW - Reduced order methods
KW - Variational multiscale
UR - http://hdl.handle.net/10807/174174
U2 - 10.1007/s10444-019-09712-x
DO - 10.1007/s10444-019-09712-x
M3 - Article
SN - 1019-7168
VL - 45
SP - 2349
EP - 2368
JO - Advances in Computational Mathematics
JF - Advances in Computational Mathematics
ER -