Analysis on Causative Factors and Evolution Paths of Blast Furnace Gas Leak Accident
Although the interest in metallurgical accident investigation of blast furnace gas (BFG) leakage has increased to explore the engineering failures, more effort is needed to address the individual and organizational causative factors to clear and determine the weak links for improving safety manageme...
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| Format: | Article |
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MDPI AG
2022-08-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/15/5622 |
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| author | Ying Lu Yueming Lu Jingwen Wang Xibei Zhang Wangsheng Chen |
| author_facet | Ying Lu Yueming Lu Jingwen Wang Xibei Zhang Wangsheng Chen |
| author_sort | Ying Lu |
| collection | DOAJ |
| description | Although the interest in metallurgical accident investigation of blast furnace gas (BFG) leakage has increased to explore the engineering failures, more effort is needed to address the individual and organizational causative factors to clear and determine the weak links for improving safety management and accident prevention to achieve green metallurgical manufacturing. This study aims to examine the causative factors and evolution paths of BFG leakage by introducing a combined method, the 24 model and Bayesian network (BN), based on 50 cases of fire, explosion and suffocation accidents caused by BFG leakage. A BN model of BFG leakage was established based on the identification of 25 causative factors by the 24 model. Results showed that eight nodes, including A1 (unsafe operation), A2 (unsafe behavior), A4 (unsafe condition), B1 (valve failure), B2 (improper gas safety operation), X4 (use of BFG violates regulations), X5 (water gas is not cut off before shutdown reduction) and X6 (incomplete steam purging), were more sensitive than others, and the posterior probability of nodes A1, A2, A3 (unsafe command), A4, B1, B2, B4 (improper emergency behavior), B5 (unsafe behaviors on BFG site) increased compared to prior probability. Three main accident causal chains were obtained which indicate that control the unsafe operations (A1) related to gas (B2) and valve (B1) are suggested to be improved. Another important factor is A4 (unsafe condition), which is related to intrinsic safety conditions. Considering the results, the key points of 3E strategy about BFG leakage prevention are suggested. This study provides useful insights to understand the organizational and individual factors and their relative influence in BFG leakage accidents, which will support BFG leakage prevention and safety management. |
| first_indexed | 2024-03-09T12:38:50Z |
| format | Article |
| id | doaj.art-63c6c7f1786a4218bd32044c3be579ed |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T12:38:50Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-63c6c7f1786a4218bd32044c3be579ed2023-11-30T22:20:25ZengMDPI AGEnergies1996-10732022-08-011515562210.3390/en15155622Analysis on Causative Factors and Evolution Paths of Blast Furnace Gas Leak AccidentYing Lu0Yueming Lu1Jingwen Wang2Xibei Zhang3Wangsheng Chen4School of Resource and Environmental Engineering, Wuhan University of Science and Technology, Wuhan 430081, ChinaSchool of Resource and Environmental Engineering, Wuhan University of Science and Technology, Wuhan 430081, ChinaSchool of Resource and Environmental Engineering, Wuhan University of Science and Technology, Wuhan 430081, ChinaSchool of Resource and Environmental Engineering, Wuhan University of Science and Technology, Wuhan 430081, ChinaSchool of Resource and Environmental Engineering, Wuhan University of Science and Technology, Wuhan 430081, ChinaAlthough the interest in metallurgical accident investigation of blast furnace gas (BFG) leakage has increased to explore the engineering failures, more effort is needed to address the individual and organizational causative factors to clear and determine the weak links for improving safety management and accident prevention to achieve green metallurgical manufacturing. This study aims to examine the causative factors and evolution paths of BFG leakage by introducing a combined method, the 24 model and Bayesian network (BN), based on 50 cases of fire, explosion and suffocation accidents caused by BFG leakage. A BN model of BFG leakage was established based on the identification of 25 causative factors by the 24 model. Results showed that eight nodes, including A1 (unsafe operation), A2 (unsafe behavior), A4 (unsafe condition), B1 (valve failure), B2 (improper gas safety operation), X4 (use of BFG violates regulations), X5 (water gas is not cut off before shutdown reduction) and X6 (incomplete steam purging), were more sensitive than others, and the posterior probability of nodes A1, A2, A3 (unsafe command), A4, B1, B2, B4 (improper emergency behavior), B5 (unsafe behaviors on BFG site) increased compared to prior probability. Three main accident causal chains were obtained which indicate that control the unsafe operations (A1) related to gas (B2) and valve (B1) are suggested to be improved. Another important factor is A4 (unsafe condition), which is related to intrinsic safety conditions. Considering the results, the key points of 3E strategy about BFG leakage prevention are suggested. This study provides useful insights to understand the organizational and individual factors and their relative influence in BFG leakage accidents, which will support BFG leakage prevention and safety management.https://www.mdpi.com/1996-1073/15/15/5622accident causation analysisblast furnace gasmetallurgical gas leakage24 modelBayesian network (BN) |
| spellingShingle | Ying Lu Yueming Lu Jingwen Wang Xibei Zhang Wangsheng Chen Analysis on Causative Factors and Evolution Paths of Blast Furnace Gas Leak Accident Energies accident causation analysis blast furnace gas metallurgical gas leakage 24 model Bayesian network (BN) |
| title | Analysis on Causative Factors and Evolution Paths of Blast Furnace Gas Leak Accident |
| title_full | Analysis on Causative Factors and Evolution Paths of Blast Furnace Gas Leak Accident |
| title_fullStr | Analysis on Causative Factors and Evolution Paths of Blast Furnace Gas Leak Accident |
| title_full_unstemmed | Analysis on Causative Factors and Evolution Paths of Blast Furnace Gas Leak Accident |
| title_short | Analysis on Causative Factors and Evolution Paths of Blast Furnace Gas Leak Accident |
| title_sort | analysis on causative factors and evolution paths of blast furnace gas leak accident |
| topic | accident causation analysis blast furnace gas metallurgical gas leakage 24 model Bayesian network (BN) |
| url | https://www.mdpi.com/1996-1073/15/15/5622 |
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