NEW ANALYSIS OF GALERKIN-MIXED FEMs FOR INCOMPRESSIBLE MISCIBLE FLOW IN POROUS MEDIA
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 81-102 |
Journal / Publication | Mathematics of Computation |
Volume | 90 |
Issue number | 327 |
Online published | 8 Sept 2020 |
Publication status | Published - Jan 2021 |
Link(s)
Abstract
Analysis of Galerkin-mixed FEMs for incompressible miscible flow in porous media has been investigated extensively in the last several decades. Of particular interest in practical applications is the lowest-order Galerkin-mixed method, in which a linear Lagrange FE approximation is used for the concentration and the lowest-order Raviart-Thomas FE approximation is used for the velocity/pressure. The previous works only showed the first-order accuracy of the method in L2 -norm in spatial direction, which however is not optimal and valid only under certain extra restrictions on both time step and spatial mesh. In this paper, we provide new and optimal L2 -norm error estimates of Galerkin-mixed FEMs for all three components in a general case. In particular, for the lowest-order Galerkin-mixed FEM, we show unconditionally the second-order accuracy in L2 -norm for the concentration. Numerical results for both two- and three-dimensional models are presented to confirm our theoretical analysis. More important is that our approach can be extended to the analysis of mixed FEMs for many strongly coupled systems to obtain optimal error estimates for all components.
Research Area(s)
- FINITE-ELEMENT-METHOD, ORDER ERROR ESTIMATE, DISPLACEMENT PROBLEMS, CONVERGENCE ANALYSIS, NUMERICAL-METHODS, FLUID-FLOWS, APPROXIMATION, REGULARITY, EQUATIONS, TRANSPORT
Citation Format(s)
NEW ANALYSIS OF GALERKIN-MIXED FEMs FOR INCOMPRESSIBLE MISCIBLE FLOW IN POROUS MEDIA. / Sun, Weiwei; Wu, Chengda.
In: Mathematics of Computation, Vol. 90, No. 327, 01.2021, p. 81-102.
In: Mathematics of Computation, Vol. 90, No. 327, 01.2021, p. 81-102.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review