Next Article in Journal
Fire Behaviour Observation in Shrublands in Nova Scotia, Canada and Assessment of Aids to Operational Fire Behaviour Prediction
Previous Article in Journal
Fire Suppression Impacts on Fuels and Fire Intensity in the Western U.S.: Insights from Archaeological Luminescence Dating in Northern New Mexico
Article

Numerical Fire Spread Simulation Based on Material Pyrolysis—An Application to the CHRISTIFIRE Phase 1 Horizontal Cable Tray Tests

1
Institute for Advanced Simulation, Forschungszentrum Jülich, 52425 Jülich, Germany
2
Computational Civil Engineering, Bergische Universität Wuppertal, 42119 Wuppertal, Germany
3
Occupational Health and Safety and Environmental Protection Unit, European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
*
Author to whom correspondence should be addressed.
Received: 24 June 2020 / Revised: 15 July 2020 / Accepted: 21 July 2020 / Published: 24 July 2020
A general procedure is described to generate material parameter sets to simulate fire propagation in horizontal cable tray installations. Cone Calorimeter test data are processed in an inverse modelling approach. Here, parameter sets are generated procedurally and serve as input for simulations conducted with the Fire Dynamics Simulator (FDS). The simulation responses are compared with the experimental data and ranked based on their fitness. The best fitness was found for a test condition of 50 kW/m2. Low flux conditions 25 kW/m2 and less exhibited difficulties to be accurately simulated. As a validation step, the best parameter sets are then utilised to simulate fire propagation within a horizontal cable tray installation and are compared with experimental data. It is important to note, the inverse modelling process is focused on the Cone Calorimeter and not aware of the actual validation step. Despite this handicap, the general features in the fire development can be reproduced, however not exact. The fire in the tray simulation extinguishes earlier and the total energy release is slightly higher when compared to the experiment. The responses of the material parameter sets are briefly compared with a selection of state of the art procedures. View Full-Text
Keywords: CHRISTIFIRE; Fire Dynamics Simulator (FDS); pyrolysis modelling; shuffled complex evolution (SCE); high performance computing (HPC); fire propagation simulation; cone calorimeter simulation; cable tray fire simulation; SPOTPY; PROPTI CHRISTIFIRE; Fire Dynamics Simulator (FDS); pyrolysis modelling; shuffled complex evolution (SCE); high performance computing (HPC); fire propagation simulation; cone calorimeter simulation; cable tray fire simulation; SPOTPY; PROPTI
Show Figures

Figure 1

  • Externally hosted supplementary file 1
    Doi: 10.5281/zenodo.3660244
    Link: https://zenodo.org/record/3660244#.XvOyLOdCSUk
    Description: Data set containing most of the data used during the creation of this article. Contains FDS simulation input and output files, input files for the parameter optimisation framework PROPTI, as well as the corresponding data base files containing the history of the parameter evolution during the inverse modelling process.
MDPI and ACS Style

Hehnen, T.; Arnold, L.; La Mendola, S. Numerical Fire Spread Simulation Based on Material Pyrolysis—An Application to the CHRISTIFIRE Phase 1 Horizontal Cable Tray Tests. Fire 2020, 3, 33. https://doi.org/10.3390/fire3030033

AMA Style

Hehnen T, Arnold L, La Mendola S. Numerical Fire Spread Simulation Based on Material Pyrolysis—An Application to the CHRISTIFIRE Phase 1 Horizontal Cable Tray Tests. Fire. 2020; 3(3):33. https://doi.org/10.3390/fire3030033

Chicago/Turabian Style

Hehnen, Tristan, Lukas Arnold, and Saverio La Mendola. 2020. "Numerical Fire Spread Simulation Based on Material Pyrolysis—An Application to the CHRISTIFIRE Phase 1 Horizontal Cable Tray Tests" Fire 3, no. 3: 33. https://doi.org/10.3390/fire3030033

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop