000844686 001__ 844686
000844686 005__ 20210129233036.0
000844686 020__ $$a978-91-88695-48-2
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000844686 037__ $$aFZJ-2018-02071
000844686 041__ $$aEnglish
000844686 1001_ $$0P:(DE-Juel1)174283$$aHehnen, Tristan$$b0
000844686 1112_ $$aEighth International Symposium on Tunnel Safety and Security$$cBorås$$d2018-03-14 - 2018-03-16$$gISTSS 2018$$wSweden
000844686 245__ $$aSimulation of Fire Propagation in Cable Tray Installations for Particle Accelerator Facility Tunnels
000844686 260__ $$aStockholm$$bRISE Research Institutes of Sweden AB$$c2018
000844686 29510 $$aProceedings from the 8th International Symposium on Tunnel Safety and Security
000844686 300__ $$a503 - 514
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000844686 520__ $$aIn this paper, it is demonstrated that the simulation of fire propagation in cable tray installations, with the Fire Dynamics Simulator (FDS), version 6.3.2, can be achieved. A material parameter set allowing to estimate the fire spread, depending on environmental conditions close to the fire seat, was generated. The parameters are determined by utilisation of an evolutionary algorithm, in an inverse modelling framework, based on experimental data from Cone Calorimeter tests. As a further step, the performance of the parameter set is compared between the FDS versions 6.3.2 and 6.5.3.The foundation of this work are experimental results of the CHRISTIFIRE campaign. The inverse modelling approach is inspired by and based on Anna Matala’s and Chris Lautenberger’s work.A material parameter set generated by the evolutionary algorithm is then used in a real scale cable tray fire simulation to predict the fire propagation. The total heat release rate (HRR) of the cable tray simulation and the respective experiment are compared and are in good agreement. The major features in the HRR plot of the experimental data are visible in the simulation results, but slightly shifted in time. Thus, predicting the fire propagation in a simulation, based on data of small-scale experiments, seems possible with FDS.However, the parameters used in this work are model specific and very sensitive to changes in the model, like grid resolution and FDS version.
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000844686 7001_ $$0P:(DE-Juel1)132044$$aArnold, Lukas$$b1$$eCorresponding author
000844686 7001_ $$0P:(DE-HGF)0$$avan Hees, Patrick$$b2
000844686 7001_ $$0P:(DE-HGF)0$$aLa Mendola, Saverio$$b3
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