Published February 16, 2024 | Version v1
Dataset Open

Sensitivity analysis for an effective transfer of estimated material properties from cone calorimeter to horizontal flame spread simulations -- Dataset

  • 1. Institute for Advanced Simulation, Forschungszentrum Jülich, Germany / Computational Civil Engineering, University of Wuppertal, Germany
  • 2. Computational Civil Engineering, University of Wuppertal, Germany

Description

This dataset is a supplementary resource for the article "Sensitivity analysis for an effective transfer of estimated material properties from cone calorimeter to horizontal flame spread simulations", published in the Fire Safety Journal.

This collection contains mostly Python and bash scripts used to create multiple FDS input files, run the simulations on a computer cluster, and post-process the simulation results for the global sensitivity analysis. 

Article_dataset.zip : contains all figures presented in the article, as well as the script files to generate them. The processed simulation outputs, and the complete simulations of the reference cases of the cone calorimeter and the horizontal flame spread are presented in this file.

SA_complete.zip : contains the general structure of directories and scripts used to run the fds simulations for the sensitivity analysis.

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Article on the Fire Safety Journal: https://doi.org/10.1016/j.firesaf.2024.104116

Preprint on arXiv: https://doi.org/10.48550/arXiv.2310.02680

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Acknowledgements:

We gratefully acknowledge the computing time granted through the project on the CoBra-system, funded by the German Federal Ministry of Education and Research with the grant number 13N15497. This research was partially funded by the German Federal Ministry of Education and Research with the grant number 13N15497.

Files

2024_SensitivityAnalysis_article_FSJ.pdf

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Additional details

Related works

Is referenced by
Journal article: 10.1016/j.firesaf.2024.104116 (DOI)
Preprint: 10.48550/arXiv.2310.02680 (DOI)
Is supplement to
Poster: 10.34734/FZJ-2023-05121 (DOI)
Poster: 10.34734/FZJ-2023-05122 (DOI)