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On efficient simulation of non-Newtonian flow in saturated porous media with a multigrid adaptive refinement solver
Author(s) -
Oleg Iliev,
Daniela Vassileva,
D. Ts. Stoyanov,
Willy Dörfler
Publication year - 2008
Publication title -
computing and visualization in science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.519
H-Index - 44
eISSN - 1433-0369
pISSN - 1432-9360
DOI - 10.1007/s00791-008-0119-8
Subject(s) - multigrid method , discretization , adaptive mesh refinement , finite volume method , solver , mathematics , mathematical optimization , nonlinear system , grid , computer science , partial differential equation , computational science , mathematical analysis , geometry , mechanics , physics , quantum mechanics
Flow of non-Newtonian fluid in saturated porous media can be described by the continuity equation and the generalized Darcy law. Here we discuss the efficient solution of the resulting second order nonlinear elliptic equation. The equation is discretized by the finite volume method on a cell-centered grid. Local adaptive refinement of the grid is introduced in order to reduce the number of unknowns. We develop a special implementation, that allows us to perform unstructured local refinement in conjunction with the finite volume discretization. Two residual based error indicators are exploited in the adaptive refinement criterion. Second order accurate discretization of the fluxes on the interfaces between refined and non-refined subdomains, as well as on the boundaries with Dirichlet boundary condition, are presented here as an essential part of an accurate and efficient algorithm. A nonlinear full approximation storage multigrid algorithm is developed especially for the above described composite (coarse plus locally refined) grid approach. In particular, second order approximation of the fluxes around interfaces is a result of a quadratic approximation of slave nodes in the multigrid-adaptive refinement (MG-AR) algorithm. Results from numerical solution of various academic and practice-induced problems are presented and the performance of the solver is discussed

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