TY - JOUR
T1 - Certified Reduced Basis VMS-Smagorinsky model for natural convection flow in a cavity with variable height
AU - Ballarin, Francesco
AU - Chacón Rebollo, Tomás
AU - Delgado Ávila, Enrique
AU - Gómez Mármol, Macarena
AU - Rozza, Gianluigi
PY - 2020
Y1 - 2020
N2 - In this work we present a Reduced Basis VMS-Smagorinsky Boussinesq model, applied to natural convection problems in a variable height cavity, in which the buoyancy forces are involved. We take into account in this problem both physical and geometrical parametrizations, considering the Rayleigh number as a parameter, so as the height of the cavity. We perform an Empirical Interpolation Method to approximate the sub-grid eddy viscosity term that lets us obtain an affine decomposition with respect to the parameters. We construct an a posteriori error estimator, based upon the Brezzi–Rappaz–Raviart theory, used in the greedy algorithm for the selection of the basis functions. Finally we present several numerical tests for different parameter configuration.
AB - In this work we present a Reduced Basis VMS-Smagorinsky Boussinesq model, applied to natural convection problems in a variable height cavity, in which the buoyancy forces are involved. We take into account in this problem both physical and geometrical parametrizations, considering the Rayleigh number as a parameter, so as the height of the cavity. We perform an Empirical Interpolation Method to approximate the sub-grid eddy viscosity term that lets us obtain an affine decomposition with respect to the parameters. We construct an a posteriori error estimator, based upon the Brezzi–Rappaz–Raviart theory, used in the greedy algorithm for the selection of the basis functions. Finally we present several numerical tests for different parameter configuration.
KW - Boussinesq equations
KW - Empirical interpolation method
KW - Reduced basis method
KW - Smagorinsky LES model
KW - a posteriori error estimation
KW - Boussinesq equations
KW - Empirical interpolation method
KW - Reduced basis method
KW - Smagorinsky LES model
KW - a posteriori error estimation
UR - http://hdl.handle.net/10807/174177
U2 - 10.1016/j.camwa.2020.05.013
DO - 10.1016/j.camwa.2020.05.013
M3 - Article
SN - 0898-1221
VL - 80
SP - 973
EP - 989
JO - Computers and Mathematics with Applications
JF - Computers and Mathematics with Applications
ER -