TY - JOUR
T1 - Isogeometric Residual Minimization Method (iGRM) with direction splitting for non-stationary advection–diffusion problems
AU - Łoś, M.
AU - Muñoz-Matute, J.
AU - Muga, I.
AU - Paszyński, M.
N1 - Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2020/1/15
Y1 - 2020/1/15
N2 - In this paper, we propose a novel computational implicit method, which we call Isogeometric Residual Minimization (iGRM) with direction splitting. The method mixes the benefits resulting from isogeometric analysis, implicit dynamics, residual minimization, and alternating direction solver. We utilize tensor product B-spline basis functions in space, implicit second order time integration schemes, residual minimization in every time step, and we exploit Kronecker product structure of the matrix to employ linear computational cost alternating direction solver. We implement an implicit time integration scheme and apply, for each space-direction, a stabilized mixed method based on residual minimization. We show that the resulting system of linear equations has a Kronecker product structure, which results in a linear computational cost of the direct solver, even using implicit time integration schemes together with the stabilized mixed formulation. We test our method on three advection–diffusion computational examples, including model “membrane” problem, the circular wind problem, and the simulations modeling pollution propagating from a chimney.
AB - In this paper, we propose a novel computational implicit method, which we call Isogeometric Residual Minimization (iGRM) with direction splitting. The method mixes the benefits resulting from isogeometric analysis, implicit dynamics, residual minimization, and alternating direction solver. We utilize tensor product B-spline basis functions in space, implicit second order time integration schemes, residual minimization in every time step, and we exploit Kronecker product structure of the matrix to employ linear computational cost alternating direction solver. We implement an implicit time integration scheme and apply, for each space-direction, a stabilized mixed method based on residual minimization. We show that the resulting system of linear equations has a Kronecker product structure, which results in a linear computational cost of the direct solver, even using implicit time integration schemes together with the stabilized mixed formulation. We test our method on three advection–diffusion computational examples, including model “membrane” problem, the circular wind problem, and the simulations modeling pollution propagating from a chimney.
KW - Advection-diffusion simulations
KW - Implicit dynamics
KW - Isogeometric analysis
KW - Linear computational cost
KW - Residual minimization
KW - Second order time integration schemes
UR - http://www.scopus.com/inward/record.url?scp=85068395014&partnerID=8YFLogxK
U2 - 10.1016/j.camwa.2019.06.023
DO - 10.1016/j.camwa.2019.06.023
M3 - Article
AN - SCOPUS:85068395014
SN - 0898-1221
VL - 79
SP - 213
EP - 229
JO - Computers and Mathematics with Applications
JF - Computers and Mathematics with Applications
IS - 2
ER -