An integrated model for vent area design of hydrocarbon-air mixture explosion inside cubic enclosures with obstacles

© 2018 Elsevier Ltd 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 t...

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Main Authors: Shi, J., Li, Jingde, Hao, Hong, Zhu, Y., Chen, G.
Format: Journal Article
Published: Elsevier 2019
Online Access:http://hdl.handle.net/20.500.11937/73715
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author Shi, J.
Li, Jingde
Hao, Hong
Zhu, Y.
Chen, G.
author_facet Shi, J.
Li, Jingde
Hao, Hong
Zhu, Y.
Chen, G.
author_sort Shi, J.
building Curtin Institutional Repository
collection Online Access
description © 2018 Elsevier Ltd 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.
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T10:57:45Z
publishDate 2019
publisher Elsevier
recordtype eprints
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spelling curtin-20.500.11937-737152019-02-19T04:26:33Z An integrated model for vent area design of hydrocarbon-air mixture explosion inside cubic enclosures with obstacles Shi, J. Li, Jingde Hao, Hong Zhu, Y. Chen, G. © 2018 Elsevier Ltd 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. 2019 Journal Article http://hdl.handle.net/20.500.11937/73715 10.1016/j.jlp.2018.11.009 Elsevier restricted
spellingShingle Shi, J.
Li, Jingde
Hao, Hong
Zhu, Y.
Chen, G.
An integrated model for vent area design of hydrocarbon-air mixture explosion inside cubic enclosures with obstacles
title An integrated model for vent area design of hydrocarbon-air mixture explosion inside cubic enclosures with obstacles
title_full An integrated model for vent area design of hydrocarbon-air mixture explosion inside cubic enclosures with obstacles
title_fullStr An integrated model for vent area design of hydrocarbon-air mixture explosion inside cubic enclosures with obstacles
title_full_unstemmed An integrated model for vent area design of hydrocarbon-air mixture explosion inside cubic enclosures with obstacles
title_short An integrated model for vent area design of hydrocarbon-air mixture explosion inside cubic enclosures with obstacles
title_sort integrated model for vent area design of hydrocarbon-air mixture explosion inside cubic enclosures with obstacles
url http://hdl.handle.net/20.500.11937/73715