Replication Data for: A preCICE-FMI Runner to couple controller models to PDEs (doi:10.18419/darus-3408)

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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:

Replication Data for: A preCICE-FMI Runner to couple controller models to PDEs

Identification Number:

doi:10.18419/darus-3408

Distributor:

DaRUS

Date of Distribution:

2023-06-07

Version:

1

Bibliographic Citation:

Willeke, Leonard, 2023, "Replication Data for: A preCICE-FMI Runner to couple controller models to PDEs", https://doi.org/10.18419/darus-3408, DaRUS, V1

Study Description

Citation

Title:

Replication Data for: A preCICE-FMI Runner to couple controller models to PDEs

Identification Number:

doi:10.18419/darus-3408

Authoring Entity:

Willeke, Leonard (Universität Stuttgart)

Grant Number:

EXC 2075 - 390740016

Distributor:

DaRUS

Access Authority:

Uekermann, Benjamin

Depositor:

Willeke, Leonard

Date of Deposit:

2023-04-16

Holdings Information:

https://doi.org/10.18419/darus-3408

Study Scope

Keywords:

Computer and Information Science, Engineering, Co-Simulation, Computer Simulation, Fluid-Structure Interaction, Functional Mock-up Interface (FMI)

Abstract:

A preCICE-FMI Runner was developed during the Master's Thesis "A preCICE-FMI Runner to couple controller models to PDEs". It couples models using the FMI standard with other simulation programs via the coupling library preCICE.<br><br> This data set contains the code and casefiles presented in the thesis, as well as instructions to replicate the results. Furthermore, the necessary preCICE software components are included. Omitted from the data set are third-party software components like Python libraries and simulation programs, which are nevertheless needed for reproduction.<br><br> Please see the <a href="https://darus.uni-stuttgart.de/file.xhtml?fileId=202022">README file</a> for further instructions.

Notes:

We acknowledge the support by the Stuttgart Center for Simulation Science (SimTech).

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Publications

Citation

Title:

L.Willeke, A preCICE-FMI Runner to couple controller models to PDEs, Master Thesis, University of Stuttgart, 2023

Identification Number:

10.18419/opus-13130

Bibliographic Citation:

L.Willeke, A preCICE-FMI Runner to couple controller models to PDEs, Master Thesis, University of Stuttgart, 2023

Other Study-Related Materials

Label:

cases.tar.xz

Text:

Simulation case files

Notes:

application/x-xz

Other Study-Related Materials

Label:

fmi-runner-v0.1.0.tar.xz

Text:

preCICE Runner for models written in the FMI standard

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application/x-xz

Other Study-Related Materials

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openfoam-adapter_v1.2.0.tar.gz

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preCICE adapter for the CFD code OpenFOAM

Notes:

application/gzip

Other Study-Related Materials

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precice-2.5.0.tar.gz

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preCICE version 2.5.0

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application/gzip

Other Study-Related Materials

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python-bindings-2.5.0.1.tar.gz

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Python language bindings for preCICE

Notes:

application/gzip

Other Study-Related Materials

Label:

README.md

Text:

Description of this data set

Notes:

text/markdown

Other Study-Related Materials

Label:

results.tar.xz

Text:

Result files

Notes:

application/x-xz