Dumux Code for flux-mortar method with mpfa (doi:10.18419/darus-3257)

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Part 1: Document Description
Part 2: Study Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Dumux Code for flux-mortar method with mpfa

Identification Number:

doi:10.18419/darus-3257

Distributor:

DaRUS

Date of Distribution:

2023-05-03

Version:

1

Bibliographic Citation:

Gläser, Dennis, 2023, "Dumux Code for flux-mortar method with mpfa", https://doi.org/10.18419/darus-3257, DaRUS, V1

Study Description

Citation

Title:

Dumux Code for flux-mortar method with mpfa

Identification Number:

doi:10.18419/darus-3257

Authoring Entity:

Gläser, Dennis (Universität Stuttgart)

Software used in Production:

DuMuX

Grant Number:

327154368 - SFB 1313

Distributor:

DaRUS

Access Authority:

Gläser, Dennis

Depositor:

Gläser, Dennis

Date of Deposit:

2022-11-04

Holdings Information:

https://doi.org/10.18419/darus-3257

Study Scope

Keywords:

Mathematical Sciences

Topic Classification:

Domain Decomposition, Mixed Finite Elements, Mortar Methods

Abstract:

<p>This dataset contains the source code for the examples shown in <a href="https://doi.org/10.1016/j.cma.2022.115870">Boon et al. (2022)</a> with the open-source simulator <a href="https://dumux.org">Dumux</a>. The first one investigates the orders of convergence with respect to the mesh size for different element types, as well as the efficiency of the interface preconditioner. The second example simulates a geological case with low permeable layers and a highly conductive fault zone. The third one presents a highly heterogeneous permeability based on the Society of Petroleum Engineers SPE10 benchmark, which illustrates the multiscale capabilities of the method. Finally, in example 4 the subdomain grids are chosen according to the local spatial frequency of the permeability, resulting in a suitable local resolution of the solution. The code can be used, for instance, to reproduce the results published at <a href="https://doi.org/10.18419/darus-3261">DaRUS</a>.</p> <p>The dataset furthermore contains a Dockerfile and a prebuilt docker image for convenient reproduction of the results in a containerized environment.</p>

Kind of Data:

Software

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Studies

Gläser, Dennis, 2023, "Results for flux-mortar method with mpfa", <a href="https://doi.org/10.18419/darus-3261">https://doi.org/10.18419/darus-3261</a>, DaRUS

Related Publications

Citation

Title:

Wietse M. Boon, Dennis Gläser, Rainer Helmig, Ivan Yotov. Flux-mortar mixed finite element methods with multipoint flux approximation. Computer Methods in Applied Mechanics and Engineering, Volume 405, 2023, article 115870.

Identification Number:

10.1016/j.cma.2022.115870

Bibliographic Citation:

Wietse M. Boon, Dennis Gläser, Rainer Helmig, Ivan Yotov. Flux-mortar mixed finite element methods with multipoint flux approximation. Computer Methods in Applied Mechanics and Engineering, Volume 405, 2023, article 115870.

Other Study-Related Materials

Label:

boon2022.tar.gz

Text:

The source code for the examples including an installation script.

Notes:

application/gzip

Other Study-Related Materials

Label:

boon2022_docker_image.tar.gz

Text:

Prebuilt Docker image

Notes:

application/gzip

Other Study-Related Materials

Label:

Dockerfile

Text:

Recipe for creating a Docker container with the application code and all dependencies.

Notes:

application/x-docker-file

Other Study-Related Materials

Label:

README.md

Text:

README file with instructions on installation & execution

Notes:

text/markdown