2021
DOI: 10.1016/j.apnum.2020.11.001
|View full text |Cite
|
Sign up to set email alerts
|

Nonlinear finite volume discretization for transient diffusion problems on general meshes

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
5
1

Relationship

3
3

Authors

Journals

citations
Cited by 6 publications
(4 citation statements)
references
References 44 publications
(68 reference statements)
0
4
0
Order By: Relevance
“…Their extensions to complex flows in porous media have been investigated in [7,19]. Contrary to upwind baseddiscretizations, central positive nonlinear schemes have been proposed in [9,25,27]. These strategies make use of some singular potential functionals to reinforce the solution positivity in the case of nonlinear diffusion or linear diffusion with a drift.…”
Section: Literature Workmentioning
confidence: 99%
“…Their extensions to complex flows in porous media have been investigated in [7,19]. Contrary to upwind baseddiscretizations, central positive nonlinear schemes have been proposed in [9,25,27]. These strategies make use of some singular potential functionals to reinforce the solution positivity in the case of nonlinear diffusion or linear diffusion with a drift.…”
Section: Literature Workmentioning
confidence: 99%
“…The convergence proof of the proposed numerical scheme is an adaptation of the ones elaborated in [10,25,27]. The following Lemma is essential, it allows to apply the compactness criterion in time [4].…”
Section: Convergencementioning
confidence: 99%
“…An alternative formulation was conceived in [25] to limit the impact of the artificial diffusion, but the accuracy remains of first order. Alternatively, accurate schemes based on logarithmic formulations of the potential function were suggested in [9,27]. The advantage is to tackle quite general meshes and fully tensors.…”
Section: Introductionmentioning
confidence: 99%
“…This can lead to possible negative eigenvalues of the stiffness matrix entailing spurious oscillation on the solution and loss of convergence. Among schemes enabling consistency and coercivity, we first cite the DDFV (Discrete Duality Finite Volume) method [6,14,25,26,29]. The construction of approximate fluxes, and also the gradient on diamond subsets, involve cell and vertex unknowns which may increase the computational cost.…”
Section: Introductionmentioning
confidence: 99%