Overcoming the uncertainty in a research reactor LOCA in level-1 PSA; Fuzzy based fault-tree/event-tree analysis

Subject Areas : Business Administration

Masoud Mohsendokht ¹ , Mehdi Hashemi-Tilehnoee ²

1 - Department of Nuclear Engineering, Faculty of New Sciences and Technologies, University of Isfahan, Isfahan, Iran
2 - Department of Mechanical Engineering, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran

Received: 2018-10-18 Accepted : 2020-06-25 Published : 2020-12-01

Keywords:

References:

Aldemir, T. (2013). A survey of dynamic  methodologies for probabilistic safety assessment of nuclear power plants, Annals of Nuclear Energy 52:113–124.

Ferdous, R., Khan, F., Sadiq, R., Amyotte, P., & Veitch, B. (2001). Fault and Event Tree Analyses for Process Systems Risk Analysis: Uncertainty Handling Formulations. Risk Analysis 31(1): 86-107.

Guimarães, A.C.F., Lapa, C.M.F., & Moreira, M.L. (2011a). Fuzzy methodology applied to Probabilistic Safety Assessment for digital system in nuclear power plants, Nuclear Engineering and Design 241:3967– 3976.

Guimarães, A.C.F., Lapa, C.M.F., Simões Filho, F.F.L., & Cabral, D.C. (2011b) Fuzzy uncertainty modeling applied to AP1000 nuclear power plant LOCA. Annals of Nuclear Energy 38(8):1775-1786.

Gupta, S., Bhattacharya, J. (2007). Reliability analysis of a conveyor system using hybrid data. Qual Reliab Eng Int 23(7):867.

Hasannejad, H., Seyyedi, S.M., & Hashemi-Tilehnoee, M. (2019). Utilizing an auxiliary portable lube oil heating system in Aliabad Katoul-Iran V94. 2 gas turbine during standstill mode: a case study. Propulsion and Power Research. 8(4):320-328.

Hashemi-Tilehnoee, M., Pazirandeh, A., & Tashakor, S. (2010). HAZOP-study on heavy water research reactor primary cooling system. Annals of Nuclear Energy 37:428–433.

Hryniewicz, O. (2007). Fuzzy Sets in the Evaluation of Reliability. In: Levitin, G. (Editor). Computational Intelligence in Reliability Engineering. New Metaheuristics, Neural and Fuzzy Techniques in Reliability. Springer-Verlag. Berlin Heidelberg. pp. 363-386.

Huang, D., Chen, T., & Wang, M.J.J. (2001). A fuzzy set approach for event tree analysis, Fuzzy Sets and Systems 118:153-165.

IAEA-International Atomic Energy Agency (1992) Procedure for conducting probabilistic safety assessment of nuclear power plants (level 1). Safety series no. 50-P-4. Vienna.

IAEA-TECDOC-930 (1997) Generic component reliability data for research reactor PSA. Vienna: International Atomic Energy Agency.

 IAEA-TECDOC-478 (1998) Component reliability data for use in probabilistic safety assessment. Vienna:  International Atomic Energy Agency.

Kančev, D., Čepin, M., & Gjorgiev, B. (2014). Development and application of a living probabilistic safety assessment tool: Multi-objective multi-dimensional optimization of surveillance requirements in NPPs considering their ageing, Reliability Engineering and System Safety131:135–147.

Keller, M., & Modarres, M. (2005). A historical overview of probabilistic risk assessment development and its use in the nuclear power industry: a tribute to the late professor Norman Carl Rassmussen. Reliability Engineering & System Safety 89:271-285.

Klir, G.J., & Folger, T.A. (1988). Fuzzy Sets, Uncertainty and Information. Prentice Hall; 1^st  Edition; ISBN 13: 978-0133459845.

Lee, W.S., Grosh, D.L., Tillman, F.A., & Lie, C.H. (1985). Fault tree analysis, methods, and applications-a review. IEEE Reliab Trans R-34:194-203.

Lee, J., & McCormick, N. (2012). Risk and Safety Analysis of Nuclear Systems, 1^st  edition. Wiley, ISBN-13: 978-0470907566.

Liang, G., & Wang, M. (1993). Evaluating human reliability using fuzzy relation. Microelectronics Reliability 33(1): 63–80.

Mahmood, Y.A., Ahmadi, A., Verma, A.K., Srividya, A., Kumar, U. (2013). Fuzzy fault tree analysis: a review of concept and application, Int J Syst Assur Eng Manag 4(1):19–32.

Markowski, A., & Mannan, M. (2008). Fuzzy risk matrix. Journal of Hazardous Materials159(1): 152-157.

Martorell, S., Carlos, A., Sanchez, A., & Serradell, V. (2000). Constrained optimization of test intervals using steady-state genetic algorithm. Reliability Engineering and System Safety 67: 215-232.

Miller, G. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. The psychological review 63:81-97.

Misra, K.B., Weber, G.G. (1990). Use of fuzzy set theory for level-I studies in probabilistic risk assessment, Fuzzy Sets and Systems 37:139-160.

Modarres, M., Kaminskiy, M.P., & Krivtsov, V. (2009). Reliability Engineering and Risk Analysis: A Practical Guide. CRC Press; 2^nd Ed 2009. ISBN-13: 978-0849392474.

Onisawa T (1988) An approach to human reliability in man-machine systems using error possibility. Fuzzy Sets and Systems 27(2): 87-103.

Onisawa ,T. (1989). Fuzzy theory in reliability analysis. Fuzzy Sets Syst 30(3):361–363.

Onisawa T (1990) An application of fuzzy concepts to modelling of reliability analysis. Fuzzy Sets and Systems 37(3): 267-286.

Purba, J.H., Lu, J., Ruan, D., & Zhang, G. (2012). An area defuzzification technique to assess nuclear event reliability data from failure possibilities. International Journal of Computational Intelligence and Applications11(4): 1250022.

Purba, J.H., Lu, J., Zhang, G. (2014). An intelligent system by fuzzy reliability algorithm in fault tree analysis for nuclear power plant probabilistic safety assessment, International Journal of Computational Intelligence and Applications 13(3):1450017.

Purba, J.H. (2014a). Fuzzy probability on reliability study of nuclear power plant probabilistic safety assessment: A review, Progress in Nuclear Energy 76:73-80.

Purba, J.H. (2014b). A fuzzy-based reliability approach to evaluate basic events of fault tree analysis for nuclear power plant probabilistic safety assessment, Annals of Nuclear Energy 70:21–29.

Purba, J.H., Lu, J., Zhang, G., & Pedrycz, W. (2014). A fuzzy reliability assessment of basic events of fault trees through qualitative data processing. Fuzzy Sets and Systems 243:50-69.

Purba, J.H., Tjahyani, D.T.S., Ekariansyah, A.S., & Tjahjono, H. (2015). Fuzzy probability based fault tree analysis to propagate and quantify epistemic uncertainty, Annals of Nuclear Energy 85:1189–1199.

Rao K.D., Kushwaha, H.S., Verma, A.K., & Srividya, A. (2007). Quantification of epistemic and aleatory uncertainties in level-1 probabilistic safety assessment studies, Reliability Engineering and System Safety 92: 947–956.

Ross, T.J. (2004). Development of Membership Functions. In: Fuzzy Logic with Engineering Applications. John Wiley & Sons, pp. 197-212.

Wolkenhauer, O. (2001). Fuzzy mathematics. In: Data Engineering: Fuzzy Mathematics in Systems Theory and Data Analysis. John Wiley & Sons, pp. 197-212.

Woo, T.H., Noh, S.W., Kim, T.W., Kang,  K.M., & Kim, Y.I. (2014). A fuzzy set safety assessment for a core falling failure accident (CFFA) in a spherical isotropic power reactor (SIPR), Energy Sources, Part A, 36:2338–2346.

Zadeh, L.A. (1965). Fuzzy sets. Information and control 8(3): 338–353.

Zimmmermann, H.J., (1991). Fuzzy set theory and its applications, 2nd. Ed, Kluwer academic publishers, Boston.