PMMA Pyrolysis Simulation – from Micro- to Real-Scale -- Dataset

Dataset to the article "PMMA Pyrolysis Simulation – from Micro- to Real-Scale". It contains experiment data, FDS simulation and PROPTI input files, as well as the Jupyter Notebooks used to process the different data series.

Published with the Fire Safety Journal: https://doi.org/10.1016/j.firesaf.2023.103926
Preprint on arXiv: https://arxiv.org/abs/2303.17446

A video series explaining the different parts of this dataset is available on YouTube: https://www.youtube.com/playlist?list=PLWziITJoPnJKtVuaVudyO2Lz-OWaCE9Co

Recommended minimum download: "RunReports", "SmallerDirectories", "PMMA_MicroScale" and "PMMA_Cone_Aalto".

Extract all files into the same directory, such that all the relative paths point to the correct locations.

The data of the inverse modelling processes are stored in the "PMMA_MicroScale" and "PMMA_Cone_Aalto" archives.

The "RunReports" archive contains all the data processing and analysis. This is, the notebooks to generate the plots from the IMP results, extracting the stoichiometry from the CHID.out files, writing the best material parameter sets into the parallel panel simulation templates and so forth.

The data of the parallel panel simulations is distributed over a couple of *.rar archives, labelled "ParallelPanelTest_A" to "ParallelPanelTest_H". Their content should be extracted into a directory labelled "ParallelPanelTest", to allow the Python scripts to work as intended. Please refer to the video series for further information.

The archive "SmallerDirectories" contains a couple of smaller assessments (compared to the parallel panel simulations), like the cone calorimeter GEOM to generate the flux map, flame height as well as the "GeneralInformation" directory. It is recommended to download this archive together with the "RunReports".

Note: the data series labels used in the article differ from the ones used for the simulations.

Simulations: Aalto_01, Aalto_02, Aalto_03, Aalto_04, Aalto_05, Aalto_06, Aalto_06b, Aalto_07

Article: Cone_01, Cone_02, Cone_03, Cone_04, Cone_05, Cone_06, Cone_07, Cone_08

Acknowledgments:
We gratefully acknowledge the computing time granted through JARA (project jjsc27) on the supercomputer JURECA at Forschungszentrum Jülich and 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.