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Study on Dynamic Probability and Quantitative Risk Calculation Method of Domino Accident in Pool Fire in Chemical Storage Tank Area
The domino event caused by fire is one of the common accidents in hydrocarbon storage tank farms, which further expands the severity and scope of the accident. Due to the different failure sequence of the storage tanks in a domino accident, the radiant heat generated by the failed storage tank to th...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778777/ https://www.ncbi.nlm.nih.gov/pubmed/36554371 http://dx.doi.org/10.3390/ijerph192416483 |
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author | Su, Mingqing Wei, Lijun Zhou, Shennan Yang, Guoliang Wang, Rujun Duo, Yingquan Chen, Sining Sun, Mingliang Li, Jiahang Kong, Xiangbei |
author_facet | Su, Mingqing Wei, Lijun Zhou, Shennan Yang, Guoliang Wang, Rujun Duo, Yingquan Chen, Sining Sun, Mingliang Li, Jiahang Kong, Xiangbei |
author_sort | Su, Mingqing |
collection | PubMed |
description | The domino event caused by fire is one of the common accidents in hydrocarbon storage tank farms, which further expands the severity and scope of the accident. Due to the different failure sequence of the storage tanks in a domino accident, the radiant heat generated by the failed storage tank to the target tank is different. Based on the influence of this synergistic effect, this study combined the Monte Carlo algorithm and FSEM, and proposed a fast real-time probability calculation method for a fire domino accident in a storage tank area, for the first time. This method uses the Monte Carlo algorithm to simulate all accident scenarios, and obtains the evolution of multiple escalation fire domino accidents under the synergistic effect according to FSEM, and then calculates the real-time failure probability and risk. Based on a comprehensive analysis of the accident propagation path, this method avoids the problem of a large amount of calculation, and is conducive to the rapid and effective analysis of the fire risk in a storage tank area and the formulation of corresponding risk reduction measures. The effectiveness and superiority of the proposed method were proved by a case study. |
format | Online Article Text |
id | pubmed-9778777 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97787772022-12-23 Study on Dynamic Probability and Quantitative Risk Calculation Method of Domino Accident in Pool Fire in Chemical Storage Tank Area Su, Mingqing Wei, Lijun Zhou, Shennan Yang, Guoliang Wang, Rujun Duo, Yingquan Chen, Sining Sun, Mingliang Li, Jiahang Kong, Xiangbei Int J Environ Res Public Health Article The domino event caused by fire is one of the common accidents in hydrocarbon storage tank farms, which further expands the severity and scope of the accident. Due to the different failure sequence of the storage tanks in a domino accident, the radiant heat generated by the failed storage tank to the target tank is different. Based on the influence of this synergistic effect, this study combined the Monte Carlo algorithm and FSEM, and proposed a fast real-time probability calculation method for a fire domino accident in a storage tank area, for the first time. This method uses the Monte Carlo algorithm to simulate all accident scenarios, and obtains the evolution of multiple escalation fire domino accidents under the synergistic effect according to FSEM, and then calculates the real-time failure probability and risk. Based on a comprehensive analysis of the accident propagation path, this method avoids the problem of a large amount of calculation, and is conducive to the rapid and effective analysis of the fire risk in a storage tank area and the formulation of corresponding risk reduction measures. The effectiveness and superiority of the proposed method were proved by a case study. MDPI 2022-12-08 /pmc/articles/PMC9778777/ /pubmed/36554371 http://dx.doi.org/10.3390/ijerph192416483 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Su, Mingqing Wei, Lijun Zhou, Shennan Yang, Guoliang Wang, Rujun Duo, Yingquan Chen, Sining Sun, Mingliang Li, Jiahang Kong, Xiangbei Study on Dynamic Probability and Quantitative Risk Calculation Method of Domino Accident in Pool Fire in Chemical Storage Tank Area |
title | Study on Dynamic Probability and Quantitative Risk Calculation Method of Domino Accident in Pool Fire in Chemical Storage Tank Area |
title_full | Study on Dynamic Probability and Quantitative Risk Calculation Method of Domino Accident in Pool Fire in Chemical Storage Tank Area |
title_fullStr | Study on Dynamic Probability and Quantitative Risk Calculation Method of Domino Accident in Pool Fire in Chemical Storage Tank Area |
title_full_unstemmed | Study on Dynamic Probability and Quantitative Risk Calculation Method of Domino Accident in Pool Fire in Chemical Storage Tank Area |
title_short | Study on Dynamic Probability and Quantitative Risk Calculation Method of Domino Accident in Pool Fire in Chemical Storage Tank Area |
title_sort | study on dynamic probability and quantitative risk calculation method of domino accident in pool fire in chemical storage tank area |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778777/ https://www.ncbi.nlm.nih.gov/pubmed/36554371 http://dx.doi.org/10.3390/ijerph192416483 |
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