DOIONLINE

DOIONLINE NO - IJAECS-IRAJ-DOIONLINE-16506

Publish In
International Journal of Advances in Electronics and Computer Science-IJAECS
Journal Home
Volume Issue
Issue
Volume-6,Issue-11  ( Nov, 2019 )
Paper Title
MADNESS: Modeling and Analysis of Data in Security of Complex Systems
Author Name
B.Patte-Rouland, B.Betting, E.Lambert, M .Lebey, E.Varea
Affilition
University Rouen Normandy, CORIA CNRS UMR 6614, 76801 Saint-Etienne du Rouvray, FRANCE Université Havre Normandy, LOMC CNRS UMR 6294, 76600 Le havre, France
Pages
13-16
Abstract
During compartments fire, the decision-making of the rescue teams is mainly based on human decisions, which are the results of gathered experiences. However, a perfect knowledge of the situation, its evolution over time and the dangers that may appear is impossible. The transition between a localized fire and a generalized fire can take several forms. One of the most important vectors in the propagation of combustion for compartment fires is smoke due to its high temperature and the large amounts of energy it contains. Despite its extreme danger, smoke remains important to study because it convey valuable information, especially on the appearance of thermal phenomena feared by firemen. To carry out this study, a large scale experimental cell is used. A burner fueled with propane produces hot fumes in a so-called "real fire" configuration. All the measurements carried out are compared with LES (Large Eddy Simulation) simulations of the experiment using FDS.The numerical component allows defining scenarios (fire fully developed, fire under ventilated ...), which are verified by the experiments. The dual competence numerical /experimental data is essential in this type of study since the experimental data suffer from a lack of resolution (spatial, temporal) but nevertheless represent information necessary for validating the codes. Keywords - Compartments Fire, FDS, Numerical Simulations, Smoke Dynamics.
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