Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Su, Mingqing, Wei, Lijun, Zhou, Shennan, Yang, Guoliang, Wang, Rujun, Duo, Yingquan, Chen, Sining, Sun, Mingliang, Li, Jiahang, Kong, Xiangbei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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
_version_ 1784856446720016384
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
work_keys_str_mv AT sumingqing studyondynamicprobabilityandquantitativeriskcalculationmethodofdominoaccidentinpoolfireinchemicalstoragetankarea
AT weilijun studyondynamicprobabilityandquantitativeriskcalculationmethodofdominoaccidentinpoolfireinchemicalstoragetankarea
AT zhoushennan studyondynamicprobabilityandquantitativeriskcalculationmethodofdominoaccidentinpoolfireinchemicalstoragetankarea
AT yangguoliang studyondynamicprobabilityandquantitativeriskcalculationmethodofdominoaccidentinpoolfireinchemicalstoragetankarea
AT wangrujun studyondynamicprobabilityandquantitativeriskcalculationmethodofdominoaccidentinpoolfireinchemicalstoragetankarea
AT duoyingquan studyondynamicprobabilityandquantitativeriskcalculationmethodofdominoaccidentinpoolfireinchemicalstoragetankarea
AT chensining studyondynamicprobabilityandquantitativeriskcalculationmethodofdominoaccidentinpoolfireinchemicalstoragetankarea
AT sunmingliang studyondynamicprobabilityandquantitativeriskcalculationmethodofdominoaccidentinpoolfireinchemicalstoragetankarea
AT lijiahang studyondynamicprobabilityandquantitativeriskcalculationmethodofdominoaccidentinpoolfireinchemicalstoragetankarea
AT kongxiangbei studyondynamicprobabilityandquantitativeriskcalculationmethodofdominoaccidentinpoolfireinchemicalstoragetankarea