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1- Tarbiat modares university
2- Tarbiat modares university , o.ahmadi@modares.ac.ir
Abstract:   (70 Views)
Material and method:  In this study, industrial accidents during gas pipeline excavation and piping operation were analyzed using Bowtie method. The Fuzzy DEMATEL method was used to determine relationships between accident root causes, and the Fuzzy AHP method was used to compare pairs of causes and determine their weight. Finally, Bowtie and DEMATEL outputs were mapped in Bayesian networks and important risk factors of accident were determined.
Introduction: Identifying and modeling the root causes of accidents can play an important role in preventing them. The purpose of this study is to identify and model the causes of gas pipeline excavation and piping operation accidents using Bayesian network (BN) and fuzzy DEMATEL.
Results: The most important risk factors for trench collapse accident were risk management (16% impact weight), competency assessment (14.2% impact weight), supervision (13.8% impact weight), work permit system (13.7% impact weight), compliance with requirements and guidelines (13.4% impact weight), training (11.4% impact weight), HSE system (9.5% impact weight) and contractor management (8%impact weight).
Conclusion: From the results obtained in this study, it can be said that the risk management and competency assessment with a higher weight percentage play a more important role in the occurrence of trench collapse accident. The results of this study can be used to prioritize corrective actions to prevent trench collapse accidents in gas pipeline excavation and piping operations.
 
     
Type of Study: Research |
Received: 2023/11/9 | Accepted: 2025/02/9

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