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An integrated model for vent area design of hydrocarbon-air mixture explosion inside cubic enclosures with obstacles
Affiliation:1. Center for Offshore Engineering and Safety Technology, China University of Petroleum, Qingdao, 266580, China;2. Tianjin University-Curtin University Joint Research Centre of Structure Monitoring and Protection, School of Civil and Mechanical Engineering, Curtin University, WA, 6102, Australia;1. Centre for Marine Technology and Ocean Engineering (CENTEC), Instituto Superior Técnico, Universidade de Lisboa, Lisbon, 1049-001, Portugal;2. Industrial Engineering Department, Quchan University of Technology, Quchan, Iran;3. School of Engineering, Faculty of Science and Engineering, Macquarie University, Sydney, NSW, Australia;1. School of Civil, Environmental and Mining Engineering, The University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia;2. Beijing University of Technology and The University of Western Australia Joint Research Center for Sustainable Infrastructure, Beijing University of Technology, 100 Pingleyuan, Chaoyang District, Beijing 100124, China;3. Centre for Infrastructural Monitoring and Protection, Kent Street, Bentley, WA 6102, Australia;1. Centre for Infrastructural Monitoring and Protection, School of Civil and Mechanical Engineering, Curtin University, Kent Street, Bentley, WA 6102, Australia;2. School of Civil, Environmental and Mining Engineering, The University of Western Australia, 35 Stirling Highway, Crawley WA 6009, Australia;3. School of Civil and Resource Engineering, The University of Western Australia, 35 Stirling Highway, Crawley WA 6009, Australia;1. Department of Naval Architecture and Ocean Engineering, Pusan National University, Jangjeon-Dong, Geumjeong-Gu, Busan 609-735, Republic of Korea;2. Central Research Institute, Samsung Heavy Industries Co., Ltd., Seongnam, Republic of Korea;1. Centre for Offshore Engineering and Safety Technology, China University of Petroleum, Qingdao, 266580, China;2. Centre for Risk, Integrity and Safety Engineering (C-RISE), Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s, NL, A1B 3X5, Canada
Abstract:
This study aims to develop an integrated model - NFPA-68-BRANN model, which can be used to calculate the vent areas of cubic enclosures with obstacles. Seven experiments regarding vented explosion inside the obstructed enclosure are reviewed and applied to check the accuracy of two existing standards, i.e. the NFPA-68 2018 and the BS EN 14994:2007. Accordingly, the parameters to describe the flame development in the NFPA-68 2018 are amended by adopting the Bauwens model. Bayesian Regularization Artificial Neuron Network (BRANN) model presenting the non-linear relationship between the turbulent flame enhancement factor X and its affecting factors is subsequently developed. Eventually, the NFPA-68-BRANN model is generated by incorporating the BRANN model into the modified NFAP-68 2018. The accuracy of the NFPA-68-BRANN model is validated by using a series of the New Baker Test data.
Keywords:NFPA-68 2018  BS EN 14994:2007  Bayesian Regularization Artificial Neuron Network  Integrated mathematical model  Turbulence-inducing obstacle effect  Vent area design
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