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Probabilistic Risk Assessment

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Thermal-Hydraulic Analysis of Nuclear Reactors

Abstract

Probabilistic Risk Assessment (PRA) has emerged as an increasingly popular analysis tool especially during the last decade. PRA is a systematic and comprehensive methodology to evaluate risks associated with every life-cycle aspect of a complex engineered technological entity (e.g., facility, spacecraft, or power plant) from concept definition, through design, construction, and operation, and up to removal from service [1].

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References

  1. M. Stamatelatos, Probabilistic Risk Assessment: What Is It And Why Is It Worth Performing It? NASA Office of Safety and Mission Assurance, 04/05/2000

    Google Scholar 

  2. EPA, United States Environment Protection Agency, Risk Assessment Forum White Paper: Probabilistic Risk Assessment Methods and Case Studies. EPA/100/R-14/004 July 2014. www.epa.gov/raf

  3. J.G. Williams, W.C. Jouse, Intelligent control in safety system: criteria for acceptance in nuclear power industry. IEEE Trans. Nuclear Sci. 40(6), 2040–2044 (1993)

    Article  Google Scholar 

  4. D. Ruan, Safety regulations and fuzzy-logic control to nuclear reactors, Belgian Nuclear Research Center (SCK. CEN). Boeretang 200, B-2400 Mol, Belgium. Mathware Soft Comput. 7, 351–360 (2000)

    Google Scholar 

  5. D. Ruan, Fuzzy logic in nuclear research world. Fuzzy Sets Syst. 74(1), 5–13 (1995)

    Article  Google Scholar 

  6. D. Ruan, Intelligent systems in nuclear applications. Int. J. Intell. Syst. 13(2/3), 115–125 (1998)

    Article  Google Scholar 

  7. D. Ruan, H. Aït Abderrahim, P. D’hondt, E. E. Kerre (eds.), Fuzzy Logic and Intelligent Technology for Nuclear Science and Industry (World Scientific, Singapore, 1998)

    Google Scholar 

  8. C. Liu, J. Peng, F. Zhao, C. Li, Design and optimization of fuzzy-PID controller for the nuclear reactor power control. Nuclear Eng. Des. 239, 2311–2316 (2009)

    Article  Google Scholar 

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Zohuri, B. (2017). Probabilistic Risk Assessment. In: Thermal-Hydraulic Analysis of Nuclear Reactors. Springer, Cham. https://doi.org/10.1007/978-3-319-53829-7_19

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  • DOI: https://doi.org/10.1007/978-3-319-53829-7_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-53828-0

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