safety risk management based on fuzzy logic at underground projects

safety risk management based on fuzzy logic at underground projects

;Farhad Taherkhani;Mahnaz Mirzaebrahim tehrani;Saeed Malmasi
2017 10th international conference on contemporary computing, ic3 2017 2017 Vol. 4 pp. 49-62
227
taherkhani2017muhandis-isafety

Abstract

Introduction: Organizations, manufacturing and non-manufacturing companies, and development units are always associated with incidents and the need for proper risk assessment. One of these is the process of constructing subwayways that, given its nature, require special attention and the occurrence of accidents is always there. But as risk definition is clear, risk is always associated with uncertainty. Accordingly, it should be noted that the performance of risk assessment calculations should be consistent with the principles that could cover this uncertainty. One of the most prominent methods in this field is the use of fuzzy logic fuzzy calculations that can provide an appropriate response, if accompanied by expert opinions, to estimate the probable risk of accidents. Methods: In this paper, firstly, identification of the existing occupational hazards in the construction of subway projects was carried out. Then, prioritization and ranking of identified hazards were performed based on the degree of importance of the fuzzy hierarchy analysis method, and finally using the method of analysis and the fuzzy hierarchical analysis of ranking has been done on the safety risks of the subway construction. Results: The results show that the main risk factors of these operations are priorities, including depletion during drilling, the collision of machinery with manpower is associated with hazards associated with shotcrete and surface water and groundwater operations. Conclusion: In the present article, a new model was developed to calculate the probability of occurrence of the event, which so far has not been addressed in other studies. Finally, effective measures can be taken to reduce the risk of a project by eliminating the high risk factors.

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