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Application of dynamic fault tree technique in safety assessment for the containment spray system of nuclear power plant

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Abstract

Reliability data is necessary for probabilistic safety assessment (PSA) of a nuclear power plant to assess the performance of the safety systems. One well-known modeling technique in PSA is a fault tree analysis (FTA). However, dynamic failure of complex systems cannot be adequately modeled by traditional static fault trees. Therefore, to overcome this deficiency and to effectively assess the reliability of real complex systems, the concept of dynamic fault tree (DFT) is introduced by defining additional gates called dynamic gates to the traditional fault tree. DFTs are now successfully applied in dynamic failure systems reliability evaluation, design and risk management due to their simplicity and powerful dynamic modeling capacity. The containment spray system (CSS) is one of the confinement safety systems in pressurized water reactor. The basic purpose of CSS is to cool the atmosphere of the containment when its internal pressure surpasses a specific limit. The aim of this study is to develop a DFT for the CSS. Monte Carlo simulation approach is applied to implement the dynamic gates of DFT using Python programming language. This study investigates the effectiveness of DFT in presenting accurately the dynamic failure behaviors of CSS and the effectiveness of the simulation to calculate the reliability indices. Also, an importance measure is calculated based on the developed DFT to measure the impact and contribution of the CSS components on the total system risk.

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References

  1. Dugan JB, Bavuso SJ, Boyd MA (1992) Dynamic fault-tree for fault-tolerant computer systems. IEEE Trans Reliab 41(3):363–376

    Article  MATH  Google Scholar 

  2. Amari S, Dill G, Howald E (2003) A new approach to solve dynamic fault trees. In: Annual IEEE reliability and maintainability symposium. pp 374–379

  3. Rao KD, Gopika V, Rao VVS, Kushwaha HS, Vermab AK, Srividya A (2009) Dynamic fault tree analysis using Monte Carlo simulation in probabilistic safety assessment. Reliab Eng Syst Saf 94(4):872–883

    Article  Google Scholar 

  4. Merle G (2010) Algebraic modelling of Dynamic Fault Trees, contribution to qualitative and quantitative analysis. PhD Thesis, École Normale Supérieure De Cachan, France

  5. Chiacchio F, Compagno L, D’Urso D, Manno G, Trapani N (2011) An open-source application to model and solve dynamic fault tree of real industrial systems. In: 5th International Conference on Software, Knowledge Information, Industrial Management and Applications (SKIMA) Proceedings, Italy

  6. Lee EC, Shin SK, Seong PH (2019) Evaluation of availability of nuclear power plant dynamic systems using extended dynamic reliability graph with general gates (DRGGG). Nucl Eng Technol 51(2):444–452

    Article  Google Scholar 

  7. Zio E, Podofillinia L, Levitin G (2004) Estimation of the importance measures of multi-state elements by Monte Carlo simulation. Reliab Eng Syst Saf 86(3):191–204

    Article  Google Scholar 

  8. Marquez AC, Heguedas AS, Iung B (2005) Monte Carlo-based assessment of system availability. Reliab Eng Syst Saf 88:273–289

    Article  Google Scholar 

  9. Zio E, Podofillinia L, Zille V (2006) A combination of Monte Carlo simulation and cellular automata for computing the availability of complex network systems. Reliab Eng Syst Saf 91(2):181–190

    Article  Google Scholar 

  10. Zio E, Marella M, Podollini L (2007) A Monte Carlo simulation approach to the availability assessment of multi-state systems with operational dependencies. Reliab Eng Syst Saf 92(7):871–882

    Article  Google Scholar 

  11. Heinold B (2012) A practical introduction to python programming. Department of Mathematics and Computer Science, Mount St. Mary’s University

  12. Linge S, Langtangen HP (2016) Programming for computations python, a gentle introduction to numerical simulations with python. Springer, Berlin

    MATH  Google Scholar 

  13. WASH-1400 (NUREG-75/014) (1975) Reactor safety study, an assessment of accident risks in U.S. commercial nuclear power plants. Fault Trees, Appendix II, U.S. Nuclear Regulatory Commission

  14. Liu Y, Wu Y, Kalbarczyk Z (2017) Smart maintenance via dynamic fault tree analysis: a case study on Singapore MRT system. In: 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), pp 511–518

  15. Verma AK, Ajit S, Karanki DR (2010) Reliability and safety engineering, 2nd edn. Springer series in reliability engineering. Springer-Verlag, London

    Book  Google Scholar 

  16. Vrbanic I, Samanta P (2017) Risk importance measures in the design and operation of nuclear power plants. Brookhaven National Laboratory

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Authors and Affiliations

  1. Department of Operational Safety and Human Factors, Atomic Energy Authority, Cairo, Egypt

    Rania A. Fahmy

  2. Department of Nuclear Safety Engineering, Atomic Energy Authority, Cairo, Egypt

    Hala K. Selim

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  1. Rania A. Fahmy
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  2. Hala K. Selim
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Correspondence to Rania A. Fahmy.

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Fahmy, R.A., Selim, H.K. Application of dynamic fault tree technique in safety assessment for the containment spray system of nuclear power plant. Electr Eng 105, 3411–3421 (2023). https://doi.org/10.1007/s00202-023-01949-6

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  • DOI: https://doi.org/10.1007/s00202-023-01949-6

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