Abstract
This chapter first introduces dynamic Probabilistic Safety Assessment (PSA) emphasizingits need and gives a brief overview of the dynamic methods in the literature. Dynamic event tree method, one of main dynamic PSA approaches, is primarily focused in the chapter. The elements involved in dynamic event tree and a comparison among its implementations are presented. Application to a simple depleting tank problem explores the quantitative aspects of the method. Finally, to quantify risk in the light of uncertainties and dynamics, the practical issues and possible solutions are briefly discussed.
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References
Siu N (1994) Risk assessment for dynamic systems: an overview. Reliab Eng Syst Saf 43:43–73
Hsueh K-S, Mosleh A (1996) The development and application of the accident dynamic simulator for dynamic probabilistic risk assessment of nuclear power plants. Reliab Eng Syst Saf 52:297–314
Aldemir T (1989) Quantifying set point drift effects in the failure analysis of process control systems. Reliab Eng Syst Saf 24:33–50
Labeau PE, Smidts C, Swaminathan S (2000) Dynamic reliability: towards an integrated platform for probabilistic risk assessment. Reliab Eng Syst Saf 68:219–254
Karanki DR, Kim TW, Dang VN (2015) The impact of dynamics and variabilities in the development of accident sequence models of NPP: a dynamic event tree informed approach. Reliab Eng Syst Saf 142:78–91
Karanki DR, Dang VN Quantification of dynamic event trees: a comparison with event trees for MLOCA scenario. In: Communication with reliability engineering and system safety
Kloos M, Peschke J (2006) MCDET: a probabilistic dynamics method combining Monte Carlo simulation with the discrete dynamic event tree approach. Nucl Sci Engg 153:137–156
Hakobyan A et al (2008) Dynamic generation of accident progression event trees. Nucl Engg Des 238:3457–3467
Aldemir T et al (2007) Dynamic reliability modeling of digital instrumentation and control systems for nuclear reactor probabilistic risk assessments. NUREG/CR-6942, USNRC
Devooght J, Smidts C (1992) Probabilistic reactor dynamics. I. The theoryof continuous event trees. Nucl Sci Eng 111:229–240
Devooght J, Smidts C (1992) Probabilistic reactor dynamics—III: a framework for time dependent interaction between operator and reactor during a transientinvolving human error. Nucl Sci Eng 112:101–113
Smidts C (1992) Probabilistic reactor dynamics IV: an example of man machineinteraction. Nucl Sci Eng 112:114–126
Aldemir T (2013) A survey of dynamic methodologies for probabilistic safety assessment of nuclear power plants. Ann Nucl Energy 52:113–124
Smidts C, Devooght J (1992) Probabilistic reactor dynamics II: a Monte Carlo studyof a fast reactor transient. Nucl Sci Eng 111:241–256
Marseguerra M, Zio E, Devooght J, Labeau PE (1998) A concept paper on dynamic reliability via Monte Carlo simulation. Math Comput Simul 47:371–382
Marseguerra M, Zio E (1993) Towards dynamic PSA via Monte Carlo methods. In: Proceedings of Esrel’93, pp 415–27
Marseguerra M, Zio E (1993) Nonlinear Monte Carlo reliability analysis with biasing towards top event. Reliab Eng Syst Saf 40:31–42
Marseguerra M, Zio E (1995) The cell-to-boundary method in Monte Carlo-based dynamic PSA. Reliab Eng Syst Saf 48:199–204
Guarro S, Yau M, Motamed M (1996) Development of tools for safety analysis of control software in advanced reactors. NUREG/CR-6465, US Nuclear Regulatory Commission, Washington, DC
Guarro S, Milici A, Mulvehill R (2001) Extending the dynamic flowgraph methodology (DFM) to model human performance and team effects. NUREGCR/6710, US Nuclear Regulatory Commission, Washington, DC
Dugan JB, Bavuso SJ, Boyd MA (1992) Dynamic fault-tree for fault-tolerant computer systems. IEEE Trans Reliab 41(3):363–376
Bobbio A, Portinale L, Minichino M, Ciancamerla E (2001) Improving the analysis of dependable systems by mapping fault trees into Bayesian networks. Reliab Eng Syst Saf 71:249–260
Cepin M, Mavko B (2002) A dynamic fault tree. Reliab Eng Syst Saf 75:83–91
Durga Rao K, Sanyasi Rao VVS, Gopika V, Kushwaha HS, Verma AK, Srividya A (2009) Dynamic fault tree analysis using Monte Carlo simulation in probabilistic safety assessment. Reliab Eng Syst Saf 94(4):872–883 (ISSN: 0951-8320)
Hsueh KS, Mosleh A (1993) Dynamic accident sequence simulator for probabilistic safety assessment. In: PSA international topical meeting, conference proceedings, Florida, 26–29 Jan 1993
Chang YHJ, Mosleh A (2007) Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents part 1–5: dynamic probabilistic simulation of the IDAC model. RESS 92:997–1075
Zhu D, Mosleh A, Smidts C (2007) A framework to integrate software behavior into dynamic probabilistic risk assessment. RESS 92(12):1733–1755
Mercurio D (2011) Discrete Dynamic Event Tree modeling and analysis of NPP crews for safety assessment. Ph.D. Thesis, Diss. ETH No. 19321
Amendola A, Reina G (1984) DYLAM-1, a software package for event sequence and consequence spectrum methodology. EUR-924, CEC-JRC ISPRA, Commission of the European Communities, Ispra, Italy
Cacciabue PC, Amendola A, Cojazzi G (1986) Dynamic logical analytical methodology versus fault tree: the case of auxiliary feedwater system of anuclear power plant. Nucl Technol 74:195–208
Cojazzi G (1996) The DYLAM approach to the dynamic reliability analysis of systems. Reliab Eng Syst Saf 52:279–296
Acosta C, Siu N (1993) Dynamic Event Trees in accident sequence analysis: application to steam generator tube rupture. Reliab Eng Syst Saf 41:135–154
Durga R, Karanki, Vinh N. Dang, Tae-Wan Kim (2011) Discrete Dynamic Event Tree analysis of MLOCA using ADS-TRACE. In: ANS PSA 2011 international topical meeting on probabilistic safety assessment and analysis, Wilmington, NC, 13–17 March 2011. On CD-ROM, American Nuclear Society, LaGrange Park
Karanki DR, Dang VN, Kim TW (2012) The impact of dynamics on the MLOCA accident model—an application of Dynamic Event Trees. In: Proceedings of 11th probabilistic safety assessment and management/European safety and reliability 2012 (PSAM11/ESREL2012), Helsinki, Finland, 25–29 June 2012, CD-ROM
Karanki DR, Dang VN (2013) Quantified Dynamic Event Trees Vs PSA—a comparison for MLOCA risk. In: ANS PSA 2013 international topical meeting on probabilistic safety assessment and analysis, Columbia, SC, USA, 22–26 Sept 2013. American Nuclear Society, CD-ROM
Mercurio D, Podofillini L, Zio E, Dang VN (2008) Identification and classification of Dynamic Event Tree scenarios via possibilistic clustering: application to a steam generator tube rupture event, Accident Analysis and Prevention
Podofillini L, Zio E, Mercurio D, Dang VN (2010) Dynamic safety assessment: scenario identification via a possibilistic clustering approach. Reliab Eng Syst Saf 95:534–549
Karanki DR, Dang VN, MacMillan MT (2014) Uncertainty progagation in Dynamic Event Trees—Initial results for a modified tank problem, PSAM 12, Hawaii, USA, 22–27 June 2014. CD-ROM
R. Munoz, Minguez E, Melendez E, Izquierdo JM, Sanchez-Perea M (1999) DENDROS: a second generation scheduler for Dynamic Event Trees. In: Mathematics and computation, reactor physics and environmental analysis in nuclear applications, conference proceedings, Madrid, Spain, 1999
Izquierdo JM et al (2009) SCAIS (Simulation Code System for Integrated Safety Assessment): current status and applications. In: Martorell et al (eds) Safety, reliability and risk analysis—ESREL 2008. Taylor & Francis Group, London
Gil J et al (2011) a code for simulation of human failure events in nuclear power plants: SIMPROC. Nucl Eng Des 241:1097–1107
Hakobyan A, Denning R, Aldemir T, Dunagan S, Kunsman D (2006) A methodology for generating dynamic accident progression event trees for level-2 PRA. In: Proceedings of PHYSOR-2006 meeting, Vancouver, CA, 10–14 Sept 2006
Catalyurek U et al (2010) Development of a code-agnostic computational infrastructure for the dynamic generation of accident progression event trees. Reliab Eng Syst Saf 95:278–294
Kloos M, Peschke J (2007) Consideration of human actions in combination with the probabilistic dynamics method MCDET, ESREL 1069–1077
Kloos M, Peschke J (2008) Consideration of human actions in combination with the probabilistic dynamics code MCDET. Journal of Risk and Reliability
Peschke J, Kloos M (2008) Impact of epistemic uncertainties on the probabilistic assessment of the emergency operating procedure secondary side bleed and feed, PSAM9
Hofer E, Kloos M, Krzykacz-Hausman B, Peschke J, Woltereck M (2002) An approximate epistemic uncertainty analysis approach in the resence of epistemic and aleatory uncertainties. Reliab Eng Syst Saf 77:229–238
Voroyev Y, Kudinov P (2011) Development and application of a genetic algorithm based dynamic PRA methodology to plant vulnerability search. PSA 2011. American Nuclear Society, LaGrange Park
Alfonsi A et al (2013) Dynamic Event Tree analysis through RAVEN, ANS PSA 2013 international topical meeting on probabilistic safety assessment and analysis, Columbia, SC, USA, 22–26 Sept 2013, American Nuclear Society, 2013, CD-ROM
Aldemir T (1987) Computer-assisted Markov failure modeling of process control systems, IEEE Trans Reliab R-36:133–144
http://www.LMNOeng.com, LMNO Engineering, Research, and Software, Ltd. 7860 Angel Ridge Rd. Athens, Ohio 45701 USA
Daugherty RL, Franzini JB, Finnemore EJ (1985) Fluid mechanics with engineering applications, 8 edn. McGraw-Hill Inc., New York
Rao SS (1992) Reliability-based design. McGraw-Hill Publishers, New York
http://www2.econ.iastate.edu/classes/econ671/hallam/documents/Transformations.pdf
Ferson S, Ginzburg LR (1996) Different methods are needed to propagate ignorance and variability. Reliab Eng Syst Saf 54(2–3):133–144
IAEA (1992) Procedure for conducting probabilistic safety assessment of nuclear power plants (level 1). Safety series no. 50-P-4. International Atomic Energy Agency, Vienna
Durag Rao K et al (2007) Quantification of epistemic and aleatory uncertainties in level-1 probabilistic safety assessment studies. Reliab Eng Syst Saf 92:947–956
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Verma, A.K., Ajit, S., Karanki, D.R. (2016). Dynamic PSA. In: Reliability and Safety Engineering. Springer Series in Reliability Engineering. Springer, London. https://doi.org/10.1007/978-1-4471-6269-8_11
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DOI: https://doi.org/10.1007/978-1-4471-6269-8_11
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