2014
DOI: 10.1007/s10596-014-9407-1
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Efficient multiphysics modelling with adaptive grid refinement using a MPFA method

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Cited by 28 publications
(14 citation statements)
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“…We point out that the local coercivity condition on this form is an inherent feature of these types of methods and appears for both the MPSA-O method discretization [33] and all convergence proofs for the MPFA-type methods for scalar equations (e.g., [40,44]). However, as mentioned also in these references, because the coercivity condition is locally computable, it can be verified directly at the time of discretization, and corrective measures, such as local grid refinement, can be applied if necessary [45].…”
Section: Proofmentioning
confidence: 99%
See 1 more Smart Citation
“…We point out that the local coercivity condition on this form is an inherent feature of these types of methods and appears for both the MPSA-O method discretization [33] and all convergence proofs for the MPFA-type methods for scalar equations (e.g., [40,44]). However, as mentioned also in these references, because the coercivity condition is locally computable, it can be verified directly at the time of discretization, and corrective measures, such as local grid refinement, can be applied if necessary [45].…”
Section: Proofmentioning
confidence: 99%
“…However, as mentioned also in these references, because the coercivity condition is locally computable, it can be verified directly at the time of discretization, and corrective measures, such as local grid refinement, can be applied if necessary [45].…”
mentioning
confidence: 99%
“…In some simulators, it is possible for the grids to adapt to evolving physical processes over the course of a simulation by refining the grid dynamically and automatically in certain regions of interest (e.g. Jackson et al 2013a, b;Faigle et al 2014) (Fig. 7).…”
Section: ; Moog 2013)mentioning
confidence: 99%
“…Multiscale Finite-Element (MsFE) [2][3][4] and Finite-Volume (MsFV) [5][6][7][8][9][10] methods along with Dynamic Local Grid Refinement (DLGR) techniques [11][12][13][14][15][16][17][18][19] are two classes of such advanced methods that aim to achieve accurate and efficient simulations by tackling different aspects of the entire complexity map. Multiscale methods have been developed to efficiently solve the elliptic (or parabolic) pressure equation, which highly heterogeneous coefficients, by solving the system on a coarse grid while preserving the fine-scale heterogeneities.…”
Section: Introductionmentioning
confidence: 99%