Risk Assessment for Urban Gas Transmission and Distribution System Using Fuzzy Comprehensive Evaluation Method
Publication: Journal of Pipeline Systems Engineering and Practice
Volume 9, Issue 1
Abstract
Urban gas transmission and distribution system mainly consists of three subsystems: storage station, gas network, and users. The subsystem fault trees are established on the basis of the investigations of the subsystem faults and accidents. The probabilities of basic events of each subsystem fault tree are determined by combining expert judgment with fuzzy set theory, whereas the failure probabilities of top events and the importance analysis of basic events are evaluated by quantitative analysis. A fuzzy comprehensive evaluation approach is proposed for the risk assessment of urban gas transmission and distribution system, and is illustrated with a case study.
Get full access to this article
View all available purchase options and get full access to this article.
References
Bonvicini, S., Leonelli, P., and Spadoni, G. (1998). “Risk analysis of hazardous materials transportation: Evaluating uncertainty by means of fuzzy logic.” J. Hazard. Mater., 62(1), 59–74.
Cagno, E., Caron, F., Mancini, M., and Ruggeri, F. (2000). “Using AHP in determining the prior distributions on gas pipeline failures in a robust Bayesian approach.” Reliab. Eng. Syst. Saf., 67(3), 275–284.
Dong, Y. H., and Yu, D. T. (2005). “Estimation of failure probability of oil and gas transmission pipelines by fuzzy fault tree analysis.” J. Loss Prev. Process Ind., 18(2), 83–88.
Khan, F. I., and Abbasi, S. A. (2001). “Analytical simulation and PROFAT II: A new methodology and a computer automated tool for fault tree analysis in chemical process industries.” J. Hazard. Mater., 75(1), 1–27.
Lin, C. T., and Wang, M. J. J. (1997). “Hybrid fault tree analysis using fuzzy sets.” Reliab. Eng. Syst. Saf., 58(3), 205–213.
Liu, D. J., Zhou, W. G., and Pan, X. X. (2016). “Risk evaluation for city gas transmission and distribution system based on information revision.” J. Loss Prev. Process Ind., 41(3), 194–201.
Markowski, A. S., Mannan, M. S., and Bigoszewska, A. (2009). “Fuzzy logic for process safety analysis.” J. Loss Prev. Process Ind., 22(6), 695–702.
Miao, C. S., and Zhao, J. P. (2012). “Risk Analysis for the urban buried gas pipeline with fuzzy comprehensive assessment method.” ASME J. Pressure Vessel Technol., 134(2), 1–6.
Misra, K. B., and Weber, G. G. (1990). “Use of fuzzy set theory for level 1 studies in probabilistic risk assessment.” Fuzzy Sets Syst., 37(2), 139–160.
Onisawa, T. (1988). “An approach to human reliability in man-machine systems using error possibility.” Fuzzy Sets Syst., 27(2), 87–103.
Suresh, P. V., Babar, A. K., and Raj, V. V. (1996). “Uncertainty in fault tree analysis: A fuzzy approach.” Fuzzy Sets Syst., 83(2), 135–141.
Zhou, W. G., Liu, D. J., Wang, H., and Pan, X. X. (2015). “Remaining-life prediction and reliability assessment of buried gas pipelines under corrosion and alternating loads.” J. Pipeline Syst. Eng. Pract., 05014002.
Information & Authors
Information
Published In
Copyright
©2017 American Society of Civil Engineers.
History
Received: Oct 7, 2016
Accepted: Aug 18, 2017
Published online: Dec 15, 2017
Published in print: Feb 1, 2018
Discussion open until: May 15, 2018
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.