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Vented gas explosion overpressure prediction of obstructed cubic chamber by Bayesian Regularization Artificial Neuron Network - Bauwens model

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dc.contributor.authorShi, J.
dc.contributor.authorLi, J.
dc.contributor.authorHao, H.
dc.contributor.authorPham, T.M.
dc.contributor.authorZhu, Y.
dc.contributor.authorChen, G.
dc.date.issued2018
dc.descriptionData source: Supplementary data, https://doi.org/10.1016/j.jlp.2018.05.016
dc.description.abstractThis study aims to develop an integrated model, namely Bauwens-BRANN model, to estimate the maximum overpressure of vented gas explosion. A series of experiments designed for cubic enclosures with and without obstacles are used in the development of Bauwens-BRANN model. Two important parameters are modified to address the pre-existing issues of Bauwens model. By incorporating the Bayesian Regularization Artificial Neuron Network (BRANN) algorithm into the Bauwens model, the Bauwens-BRANN model is developed. Improved pressure estimation accuracy is seen for the Bauwens-BRANN model in comparison with the NFPA-68 2013 model.
dc.identifier.citationJournal of Loss Prevention in the Process Industries, 2018; 56:209-216
dc.identifier.doi10.1016/j.jlp.2018.05.016
dc.identifier.issn0950-4230
dc.identifier.issn1873-3352
dc.identifier.orcidPham, T.M. [0000-0003-4901-7113]
dc.identifier.urihttps://hdl.handle.net/11541.2/35334
dc.language.isoen
dc.publisherElsevier
dc.relation.fundingNational Key R&D Program of China 2017YFC0804501
dc.relation.fundingFundamental Research Funds for Innovation Program of Seventh-generation Ultra Deepwater Drilling Platform 2016[24]
dc.relation.fundingNational Basic Research Program of China 2015CB058000
dc.rightsCopyright 2018 Elsevier Ltd. All rights reserved.
dc.source.urihttps://doi.org/10.1016/j.jlp.2018.05.016
dc.subjectNFPA-68 2013
dc.subjectbayesian regularization artificial neuron network
dc.subjectbauwens analytical model
dc.subjectbetter generalization
dc.subjectvented explosion of obstructed cubic chamber
dc.titleVented gas explosion overpressure prediction of obstructed cubic chamber by Bayesian Regularization Artificial Neuron Network - Bauwens model
dc.typeJournal article
pubs.publication-statusPublished
ror.mmsid9916785520101831

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