Safety assessment of natural gas storage tank using similarity aggregation method based fuzzy fault tree analysis (SAM-FFTA) approach. (July 2020)

• Record Type: Journal Article
• Authors: Yin, Hailong; Liu, Changhua; Wu, Wei; Song, Ke; Liu, Dongpeng; Dan, Yong
• Is Part Of: Journal of loss prevention in the process industries. Volume 66(2020)
• Publication Date: 2020-07
• Subjects: Fault tree analysis -- Fuzzy set theory -- Similarity aggregation method -- Natural gas storage tank; Chemical industries -- Safety measures -- Periodicals; 660.2804
• DOI: 10.1016/j.jlp.2020.104159
• Languages: English
• ISSNs: 0950-4230

Abstract

Abstract: Fault tree analysis (FTA) is an important method to analyze the failure causes of engineering systems and evaluate their safety and reliability. In practical application, the probabilities of bottom events in FTA are usually estimated according to the opinions of experts or engineers because it is difficult to obtain sufficient probability data of bottom events in fault tree. However, in many cases, there are many experts with different opinions or different forms of opinions. How to reasonably aggregate expert opinions is a challenge for the engineering application of fault tree method. In this study, a fuzzy fault tree analysis approach based on similarity aggregation method (SAM-FFTA) has been proposed. This method combines SAM with fuzzy set theory and can handled comprehensively diverse forms of opinions of different experts to obtain the probabilities of bottom events in fault tree. Finally, for verifying the applicability and flexibility of the proposed method, a natural gas spherical storage tank with a volume of 10, 000 m 3 was analyzed, and the importance of each bottom event was determined. The results show that flame, lightning spark, electrostatic spark, impact spark, mechanical breakdown and deformation/breakage have the most significant influence on the explosion of the natural gas spherical storage tank. Highlights: A similarity aggregation method based fuzzy fault tree analysis approach (SAM-FFTA) has been proposed was proposed. The proposed approach can deal with both subjective and objective data. A natural gas storage tank located in an urban district was analyzed by SAM-FFTA.