A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Simulation of Fire Propagation in Cable Tray Installations - Data Set
This repository contains simulation data used for a conference paper at ISTSS 2018, with the title "Simulation of Fire Propagation in Cable Tray Installations for Particle Accelerator Facility Tunnels". Furthermore, the plots are provided, including the Python 3 scripts to create the plots, used in this paper. With the Fire Dynamics Simulator FDS, in the versions 6.3.2 and 6.5.3, simulations of cable fire tests have been performed. Experimental data from micro-combustion calorimetry and Cone Calorimeter tests were used to calibrate a material parameter set, aming to predict the fire spread in a cable tray installation. The simulations are based on experimental data from the CHRISTIFIRE Phase 1 campaign. The authors want to thank Kevin B. McGrattan for providing access to the CHRISTIFIRE data. Some remarks on the usage: Unfortunately, for some unclear reason, Zenodo does right now not support the creation of folders within the repository. In an effort to maintain the structure of the data, ZIP archives have been created. Note that specifically the MT-3 simulations are quite large and take about 3.5 GB of space after extraction. It is only necessary to reproduce the file structure, if the user wants to utilise the provided Python scripts "as is". It is, of course, also possible to adjust the file pathes in the scripts to the users desire. To recreate the original file structure, one needs to copy all files of this repository into a single directory. The ZIP archives are sub-directories within that basic directory. The names of the archives contain the information of how the sub-directory structure looks like. Triple underscores '___' are placeholders indicating the file path, thus need basically changed to '/'. For example, the ZIP archive ''Cone___CoarseCone___ArrCHRISTIFIRE.zip' translates to the path 'Cone\CoarseCone\ArrCHRISTIFIRE\'.
Simulation of Fire Propagation in Cable Tray Installations - Data Set
This repository contains simulation data used for a conference paper at ISTSS 2018, with the title "Simulation of Fire Propagation in Cable Tray Installations for Particle Accelerator Facility Tunnels". Furthermore, the plots are provided, including the Python 3 scripts to create the plots, used in this paper. With the Fire Dynamics Simulator FDS, in the versions 6.3.2 and 6.5.3, simulations of cable fire tests have been performed. Experimental data from micro-combustion calorimetry and Cone Calorimeter tests were used to calibrate a material parameter set, aming to predict the fire spread in a cable tray installation. The simulations are based on experimental data from the CHRISTIFIRE Phase 1 campaign. The authors want to thank Kevin B. McGrattan for providing access to the CHRISTIFIRE data. Some remarks on the usage: Unfortunately, for some unclear reason, Zenodo does right now not support the creation of folders within the repository. In an effort to maintain the structure of the data, ZIP archives have been created. Note that specifically the MT-3 simulations are quite large and take about 3.5 GB of space after extraction. It is only necessary to reproduce the file structure, if the user wants to utilise the provided Python scripts "as is". It is, of course, also possible to adjust the file pathes in the scripts to the users desire. To recreate the original file structure, one needs to copy all files of this repository into a single directory. The ZIP archives are sub-directories within that basic directory. The names of the archives contain the information of how the sub-directory structure looks like. Triple underscores '___' are placeholders indicating the file path, thus need basically changed to '/'. For example, the ZIP archive ''Cone___CoarseCone___ArrCHRISTIFIRE.zip' translates to the path 'Cone\CoarseCone\ArrCHRISTIFIRE\'.
Simulation of Fire Propagation in Cable Tray Installations - Data Set
Hehnen, Tristan (author) / Arnold, Lukas (author) / van Hees, Patrick (author) / La Mendola, Saverio (author) / McGrattan, Kevin B.
2018-01-11
Research Data
Electronic Resource
English
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