Fuzzy reliability analyzer: Quantitative assessment of risk events in the construction industry using fuzzy fault-tree analysis

Journal of Construction Engineering and Management

Volumn 137, Issue 4, 2011, Pages 294-302

  Abdelgawad, Mohamed ^a   Fayek, Aminah Robinson ^b  

^a ENBRIDGE PIPELINES INC   (Canada)

^b Dept of Civil and Environmental Engineering ^*  (Canada)

Author keywords

Construction industry; Fuzzy sets; Probability; Reliability; Risk management

Indexed keywords

CONSTRUCTION PROJECTS; DEDUCTIVE TECHNIQUES; FAULT-TREES; FUZZY ARITHMETIC OPERATIONS; FUZZY FAULT TREE ANALYSIS; FUZZY PROBABILITY; FUZZY RELIABILITY; HORIZONTAL DIRECTIONAL DRILLING; LINGUISTIC TERMS; MINIMAL CUT SETS; PROBABILITY OF FAILURE; PROBABILITY OF OCCURRENCE; PROJECT OBJECTIVES; QUANTITATIVE ASSESSMENTS; RISK RESPONSE; ROOT CAUSE; SYSTEM FAILURES;

CONSTRUCTION INDUSTRY; DIRECTIONAL DRILLING; FAULT TREE ANALYSIS; FUZZY SETS; LINGUISTICS; RATING; RELIABILITY ANALYSIS; RISK ANALYSIS; RISK ASSESSMENT; RISK MANAGEMENT; TREES (MATHEMATICS); UNCERTAINTY ANALYSIS;

QUALITY ASSURANCE;

EID: 79955425408     PISSN: 07339364     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)CO.1943-7862.0000285     Document Type: Article

References (22)

1. Abdelgawad, M., Fayek, A. R., and Martinez, F. (2010). Quantitative assessment of horizontal directional drilling project risk using fuzzy fault tree analysis. Proc., 2010 Construction Res. Congress, ASCE, Reston, VA, 1274-1283.
2. Ayyub, B. M. (2003). Risk analysis in engineering and economics, Chapman and Hall, New York, 33-113.
3. Carrasco, J., and Suń, V. (1999). An algorithm to find minimal cuts of coherent fault-trees with event-classes, using a decision tree. IEEE Trans. on Reliability, 48 (1), 31-41.
4. Chapman, R. J. (1998). The effectiveness of working group risk identification and assessment techniques. Int. J. Proj. Manage., 16 (6), 333-343. (Pubitemid 128429300)
5. Ericson, C. (1999). Fault tree analysis-A history. Proc. of the 17th Int. System Safety Conf., System Safety Society, Unionville, VA, 1-9.
6. Hauptmanns, U. (1988). Fault tree analysis for process planets. Engineering Risk and Hazard Assessment, K. Abraham, and, A. Eitan, eds., CRC Press, Boca Raton, FL, 1, 21-60.
7. Huang, H., Yuan, X., and Yao, X. (2000). Fuzzy fault tree analysis of railway traffic safety. Proc. of the Conf. on Traffic and Transportation Studies, ASCE, Reston, VA, 107-112.
8. Kara-Zaitri, C. (1996). An improved minimal cut set algorithm. Int. J Qual. Reliab. Manage. 0265-671X, 13 (2), 114-132. (Pubitemid 126041915)
9. Khan, F., and Abbasi, S. A. (1999). PROFAT: A user friendly system for probabilistic fault tree analysis. Process safety progress, 18 (1), 42-49. 1066-8527 10.1002/prs.680180109
10. Klir, G. J., and Yuan, B. (1995). Fuzzy sets and fuzzy logic: Theory and applications, Prentice Hall, 280-301.
11. Lucko, G., and Rojas, E. M. (2010). Research validation: challenges and opportunities in the construction domain. J. Constr. Eng. Manage. 0733-9364, 136 (1), 127-135. 10.1061/(ASCE)CO.1943-7862.0000025
12. NASA. (2002). Fault tree handbook with aerospace applications. Office of Safety and Mission Assurance, Washington, DC.
13. Pan, N. F., and Wang, H. (2007). Assessing failure of bridge construction using fuzzy fault tree analysis. Proc. of Fourth Int. Conf. on Fuzzy Systems and Knowledge Discovery, IEEE, 96-100. (Pubitemid 351710572)
14. Rosenberg, L. (1996). Algorithm for finding minimal cut sets in a fault tree. Reliability Eng. Syst. Saf., 53 (1), 67-71. 0951-8320 10.1016/0951- 8320(96)00034-8 (Pubitemid 126363285)
15. Singer, D. (1990). A fuzzy set approach to fault tree and reliability analysis. Fuzzy Sets Syst., 34 (2), 145-155. 0165-0114 10.1016/0165-0114(90) 90154-X
16. Suresh, P. V., Babar, A. K., and Venkat Raj, V. (1996). Uncertainty in fault tree analysis: A fuzzy approach. Fuzzy Sets Syst., 83 (2), 135-141. 0165-0114 10.1016/0165-0114(95)00386-X (Pubitemid 126667497)
17. Tanaka, H., Fan, L. T., Lai, F. S., and Toguchi, K. (1983). Fault tree analysis by fuzzy probability. IEEE Trans. Reliab. 0018-9529, R-32 (5), 453-457. 10.1109/TR.1983.5221727 (Pubitemid 14650658)
18. Vatn, J. (1992). Finding minimal cut sets in a fault tree. Reliability Eng. Syst. Saf., 36 (1), 59-62. 0951-8320 10.1016/0951-8320(92)90152-B
19. Verma, A. K., Srividya, A., and Gaonkar, R. S. P. (2007). Fuzzy-reliability engineering: concepts and applications, Narosa Publishing, New Delhi, India, 88-127.
20. Vesely, W. E., Davis, T. C., Denning, R. S., and Saltos, N. (1983). Measures of risk importance and their applications., NRC FIN 82386, U.S. Nuclear Regulatory Commission.
21. Yuhua, D., and Datao, Y. (2005). Estimating of failure probability of oil and gas transmission pipelines by fuzzy fault tree analysis. J. Loss Prev. Process Ind., 18 (2), 83-88. 0950-4230 10.1016/j.jlp.2004.12.003
22. Zadeh, L. A. (1965). Fuzzy sets. Inf. Syst. Control J., 8 (3), 338-353.