A small-world network model for the simulation of fire spread onboard naval vessels |
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| Affiliation: | 1. Aix Marseille Université, CNRS, IUSTI UMR 7343, 5 rue E. Fermi, Technopôle de Château-Gombert, 13453 Marseille cedex 13, France;2. DGA Tn, BP 40195, 83050 Toulon Cedex, France;3. LEMTA, Université de Lorraine, CNRS, 2 Avenue de la Forêt de Haye, TSA 60604, 54518 Vandœuvre lès Nancy cedex, France;1. beth.weckman@uwaterloo.ca & ejweckman@uwaterloo.ca;2. atrouve@umd.edu;3. luke.bisby@icloud.com;4. Bart.Merci@UGent.be;1. FM Global, Research Division, 1151 Boston-Providence Turnpike, Norwood, MA 02062, USA;2. FM Approvals, 743 Reynolds Road, West Glocester, RI 02814, USA;1. School of Civil Engineering, The University of Queensland, Australia;2. TAEC, UK;1. Department of Architecture, Faculty of Science and Engineering, Tokyo University of Science, 2641 Yamasaki, Noda 278-8510, Japan;2. Department of Architecture and Architectural Engineering, Kyoto University, C1-4-482, Kyoto University Katsura campus, Nishikyo-ku, Kyoto 615-8540, Japan;3. Department of Architecture, Okayama University of Science, Ridaicho, Kita-ku, Okayama-shi 700-0005, Japan |
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| Abstract: | This work is devoted to the development of a small-world network model to predict real-time fire spread onboard naval vessels. This model takes into account short-range and long-range connections between neighboring and remote network compartments. Fire ignition and flashover, as well as fire transmissions through the walls and ventilation ducts are simulated using time-dependent normal probability density functions. Mean durations of fire transmission through the walls and ducts are determined by a three-zone model and a one-dimensional CFD code, respectively. Specific experiments are conducted in a steel room, representative of a naval vessel compartment, in order to validate the zone model. Then a proof of concept is developed by applying the network model to a full-scale vessel mockup composed of 113 compartments on 7 decks. A statistical study is conducted to produce fire risk maps, classifying the vessel compartments according to their propensity to burn. |
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| Keywords: | Compartment fires Modeling Fire growth Fire spread Statistics Risk assessment |
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