Analyzing the impact of in-rack sprinklers in a warehouse fire: A demonstration of the role optimization has in mitigating damage |
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| Affiliation: | 1. School of Business, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA 01609, USA;2. Department of Fire Protection Engineering, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA 01609, USA;1. EDF R&D, 6 quai Watier, 78400 Chatou, France;2. Aix-Marseille Université, IUSTI/ UMR CNRS 7343, 5 rue E. Fermi, 13453 Marseille Cedex 13, France;3. Departamento de Industrias, Universidad Técnica Federico Santa María, Av. España 1680, Valparaíso, Chile;1. Ulster University, United Kingdom;2. ArcelorMittal, Luxembourg;3. The University of Edinburgh, United Kingdom;4. RISE Research Institutes of Sweden, Sweden;1. Department of Civil Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia;2. Mechanical Engineering Department, Al-Imam Muhammad Ibn Saud Islamic University, Riyadh 11432, Saudi Arabia;1. School of Engineering, The University of Edinburgh, UK;2. TAEC, UK;3. School of Civil Engineering, The University of Queensland, Australia;1. School of Transportation & Logistics, Southwest Jiaotong University, Chengdu 610031, China;2. National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 610031, China;3. School of Environmental and Resources, Southwest University of Science and Technology, Mianyang 621000, China |
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| Abstract: | This study presents a tool that illustrates the potential and role that optimization can have in fire protection design and performance. Specifically, the tool uses validated engineering correlations to simulate a warehouse fire, and evaluates whether it is controlled by modeling the placement and number of sprinklers – both in-rack and ceiling. Using initial model inputs that include storage configuration, commodity type, water supply, and sprinkler type, we allow a fire to ignite and simulate its growth behavior and corresponding effects on a nearby target array. For any initial set of input parameters, our tool demonstrates the minimum number and location of available in-rack sprinklers to control the flame spread. With reasonable run times, our work yields new insights into the design of sprinkler systems and, more broadly, the usefulness of optimization in fire protection design. |
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| Keywords: | Warehouse fire modeling Optimization Fire simulation Sprinkler configurations |
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