遇见数据集

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

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Zenodo2024-02-16 更新2026-05-26 收录
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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. ----------------------------------------------- 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 ----------------------------------------------- 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.

本数据集是发表于《Fire Safety Journal》(火灾安全期刊)的论文《锥形量热仪(cone calorimeter)估算材料属性向水平火焰蔓延模拟有效迁移的敏感性分析》的补充资源。 本数据集主要包含用于生成多组FDS输入文件、在计算机集群上运行模拟,并对模拟结果进行后处理以开展全局敏感性分析的Python脚本与bash脚本。 Article_dataset.zip:包含论文中展示的全部图表,以及生成这些图表的脚本文件。该压缩包内还收录了经处理的模拟输出结果,以及锥形量热仪与水平火焰蔓延基准工况的完整模拟数据。 SA_complete.zip:包含用于运行敏感性分析相关FDS模拟的目录通用结构与脚本文件。 ----------------------------------------------- 发表于《火灾安全期刊》的论文:https://doi.org/10.1016/j.firesaf.2024.104116 arXiv预印本:https://doi.org/10.48550/arXiv.2310.02680 ----------------------------------------------- 致谢: 我们衷心感谢德国联邦教育与研究部通过资助编号为13N15497的CoBra系统项目提供的计算时长。本研究部分由德国联邦教育与研究部以资助编号13N15497资助完成。

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Zenodo
创建时间:
2024-02-16
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