Testing the predictive capabilities of evacuation models for tunnel fire safety analysis

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

Abstract

The scope of this paper is to test the predictive capabilities of different evacuation modelling approaches to simulate tunnel fire evacuations. The study is based on the a priori modelling (prior to the experiments) vs a posteriori modelling (after the data collection stage) of a set of tunnel evacuation experiments performed in a tunnel in Stockholm, Sweden. Different degrees of modelling sophistication were employed: (A) the analytical calculations described in the Society of Fire Protection Engineers (SFPE) handbook, (B) an individual use of evacuation models and (C) a multi-model approach, presented in this paper for the first time. Six evacuation models were employed, namely FDS+Evac, BuildingEXODUS, STEPS, Pathfinder, Gridflow and Simulex. The author has a priori simulated the experiments with different degrees of modelling sophistication. The experimental results were used to simulate a posteriori the same scenarios. Results showed that: (1) the use of model default settings produced significant differences in the results, (2) the calibration of models input required different degrees of effort in relation to the sophistication embedded in the model, i.e., whether it used deterministic assumptions or not, (3) analytical calculations were not a sufficient method to simulate complex tunnel evacuation processes, i.e., exit choice in smoke, (4) the use of a single model was not sufficient if the modellers had not information to calibrate the input, (5) the multi-model approach was a useful tool to test the sensitivity of the results to the model employed and the model sub-algorithms.

Detaljer

Författare
Externa organisationer
  • External Organization - Unknown
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Annan samhällsbyggnadsteknik
  • Husbyggnad

Nyckelord

Originalspråkengelska
Sidor (från-till)141-153
TidskriftSafety Science
Volym59
UtgivningsnummerNovember
StatusPublished - 2013
PublikationskategoriForskning
Peer review utfördJa