Application of Risk-Informed Validation Framework to a Flooding Scenario
Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 7, Issue 4
Abstract
In recent years, the use of advanced simulation tools for modeling the behavior of flooding at a nuclear power plant has gained significant importance. The credibility of advanced simulation codes is assessed using formal approaches for verification and validation. In this manuscript, a formal risk-informed validation approach is proposed that provides a basis to quantify credibility of system-level risk assessments. The credibility of system-level validation is represented using a probabilistic metric and maturity levels. The novelty of the proposed approach lies in the integration of risk-informed validation approach with the US Nuclear Regulatory Commission’s (USNRC) Evaluation Model Development and Assessment Process (EMDAP) framework. This allows transformation of EMDAP into a risk-informed EMDAP. The applicability of the proposed framework is evaluated by application to a flooding scenario of a sunny-day dam failure. Application to the flooding scenario illustrates that the credibility of flooding simulations can be assessed using formal quantification, which is otherwise not possible in the existing EMDAP framework.
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Data Availability Statement
All of the data, models, and/or code that support the findings of this study are available.
Acknowledgments
This research was partially supported by US DOE under the grant DE-NE0008530. In addition, this research was partially supported by Center for Nuclear Energy Facilities and Structures at NC State University. Resources for the Center come from the dues paid by member organizations and from the Civil Engineering Department and College of Engineering.
References
Athe, P., and N. Dinh. 2019. “A framework for assessment of predictive capability maturity and its application in nuclear thermal hydraulics.” Nucl. Eng. Des. 354 (Dec): 110201. https://doi.org/10.1016/j.nucengdes.2019.110201.
Aven, T., and T. Nøkland. 2010. “On the use of uncertainty importance measures in reliability and risk analysis.” Reliab. Eng. Syst. Saf. 95 (2): 127–133. https://doi.org/10.1016/j.ress.2009.09.002.
Basu, P. C., M. Ravindra, and Y. Mihara. 2017. “Component fragility for use in psa of nuclear power plant.” Nucl. Eng. Des. 323: 209–227. https://doi.org/10.1016/j.nucengdes.2016.10.018.
Bodda, S. S. 2020. “Risk informed validation framework using Bayesian approach.” Ph.D. thesis, Dept. of Civil, Construction, and Environmental Engineering, North Carolina State Univ.
Bodda, S. S., A. Gupta, and N. Dinh. 2020a. “Enhancement of risk informed validation framework for external hazard scenario.” Reliab. Eng. Syst. Saf. 204 (Dec): 107140. https://doi.org/10.1016/j.ress.2020.107140.
Bodda, S. S., A. Gupta, and N. Dinh. 2020b. “Risk informed validation framework for external flooding scenario.” Nucl. Eng. Des. 356 (Jan): 110377. https://doi.org/10.1016/j.nucengdes.2019.110377.
Bodda, S. S., A. Gupta, B. S. Ju, and W. Jung. 2020c. “Fragility of a weir structure due to scouring.” Comput. Eng. Phys. Model. 3 (1): 1–10. https://doi.org/10.22115/cepm.2020.214539.1077.
Bodda, S. S., A. Gupta, B. S. Ju, and M. Kwon. 2019. “Multi-hazard fragility assessment of a concrete floodwall.” Reliab. Eng. Resilience 1 (2): 46–66. https://doi.org/10.22115/rer.2020.214337.1017.
Boyack, B., R. Duffey, P. Griffith, K. Katsma, G. Lellouche, S. Levy, U. Rohatgi, G. Wilson, W. Wulff, and N. Zuber. 1990. “Quantifying reactor safety margins. Part 1: An overview of the code scaling, applicability, and uncertainty evaluation methodology.” Nucl. Eng. Des. 119 (1): 1–15. https://doi.org/10.1016/0029-5493(90)90071-5.
Dinh, N., et al. 2015. Development and application of a data-driven methodology for validation of RISMC models. Raleigh, NC: NC State Univ.
Ellingwood, B., and P. B. Tekie. 2001. “Fragility analysis of concrete gravity dams.” J. Infrastruct. Syst. 7 (2): 41–48. https://doi.org/10.1061/(ASCE)1076-0342(2001)7:2(41).
Kennedy, R., and M. Ravindra. 1984. “Seismic fragilities for nuclear power plant risk studies.” Nucl. Eng. Des. 79 (1): 47–68. https://doi.org/10.1016/0029-5493(84)90188-2.
Kuo, W., and X. Zhu. 2012a. Importance measures in reliability, risk, and optimization: Principles and applications. New York: Wiley.
Kuo, W., and X. Zhu. 2012b. “Some recent advances on importance measures in reliability.” IEEE Trans. Reliab. 61 (2): 344–360. https://doi.org/10.1109/TR.2012.2194196.
Kwag, S., A. Gupta, and N. Dinh. 2018. “Probabilistic risk assessment based model validation method using Bayesian network.” Reliab. Eng. Syst. Saf. 169 (Jan): 380–393. https://doi.org/10.1016/j.ress.2017.09.013.
Lin, L. 2019. “Development and assessment of smoothed particle hydrodynamics method for analysis of external hazards.” Ph.D. thesis, Dept. of Nuclear Engineering, NC State Univ.
Lin, L., N. Montanari, S. Prescott, R. Sampath, H. Bao, and N. Dinh. 2020. “Adequacy evaluation of smoothed particle hydrodynamics methods for simulating the external-flooding scenario.” Nucl. Eng. Des. 365 (Aug): 110720. https://doi.org/10.1016/j.nucengdes.2020.110720.
Lo, C. K., N. Pedroni, and E. Zio. 2014. “Treating uncertainties in a nuclear seismic probabilistic risk assessment by means of the dempster-shafer theory of evidence.” Nucl. Eng. Technol. 46 (1): 11–26. https://doi.org/10.5516/NET.03.2014.701.
NIMBLE Development Team. 2019. Nimble: MCMC, particle filtering, and programmable hierarchical modeling (version = 0.7.1). Bend, OR: NIMBLE Development Team. https://doi.org/10.5281/zenodo.4829693.
Nofal, O., J. W. van de Lindt, and T. Q. Do. 2020. “Multi-variate and single-variable flood fragility and loss approaches for wood frame buildings.” Reliab. Eng. Syst. Saf. 202 (Oct): 106971. https://doi.org/10.1016/j.ress.2020.106971.
Noroozian, A., R. B. Kazemzadeh, S. T. A. Niaki, and E. Zio. 2018. “System risk importance analysis using bayesian networks.” Int. J. Reliab. Qual. Saf. Eng. 25 (1): 1850004. https://doi.org/10.1142/S0218539318500043.
Oberkampf, W. L., M. Pilch, and T. Guy Trucano. 2007. Predictive capability maturity model for computational modeling and simulation. Albuquerque, NM: Sandia National Laboratories.
Oberkampf, W. L., and C. J. Roy. 2010. Verification and validation in scientific computing. 1st ed. New York: Cambridge University Press.
Parisi, C., S. Prescott, Z. Ma, B. Spears, R. Szilard, J. Coleman, and B. Kosbab. 2017. Risk-informed external hazards analysis for seismic and flooding phenomena for a generic pwr. Idaho Falls, ID: Idaho National Lab.
Sampath, R., J. Weglian, and N. Montanari. 2017. Investigation into the use of three-dimensional modeling techniques to assess internal flooding scenarios. Washington, DC: Electric Power Research Institute.
Sandhu, H., A. Gupta, B. Ju, and W. Y. Jung. 2015. “Evaluating and updating fragility of flood defence structures at nuclear power plants.” In Proc., Transactions of the 23rd Int. Conf. on Structural Mechanics in Reactor Technology. Manchester, UK: International Association for Structural Mechanics in Reactor Technology.
Smith, C., D. Mandelli, S. Prescott, A. Alfonsi, C. Rabiti, J. Cogliati, and R. Kinoshita. 2014. Analysis of pressurized water reactor station blackout caused by external flooding using the RISMC toolkit. Idaho Falls, ID: Idaho National Laboratory.
Smith, C. L., A. Tahhan, C. Muchmore, L. Nichols, B. Bhandari, and C. Pope. 2016. Flooding fragility experiments and prediction. Idaho Falls, ID: Idaho National Lab.
USNRC (US Nuclear Regulatory Commission). 2005. Transient and accident analysis methods: Regulatory guide 1.203. Rockville, MD: USNRC.
USNRC (US Nuclear Regulatory Commission). 2012. Nei white paper (draft) on supplemental guidance for the evaluation of dam failures. Rockville, MD: USNRC.
USNRC (US Nuclear Regulatory Commission). 2014. Working example template: Scenario based integrated assessment evaluation of a sunny day dam failure with advance warning of an external flood and severe site flooding. Rockville, MD: USNRC.
Wojciechowska, K., G. Pleijter, M. Zethof, F. Havinga, D. Van Haaren, and W. Ter Horst. 2015. “Application of fragility curves in operational flood risk assessment.” In Proc., Geotechnical Safety and Risk V. Amsterdam, Netherlands: IOS Press.
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© 2021 American Society of Civil Engineers.
History
Received: Oct 14, 2020
Accepted: May 6, 2021
Published online: Jul 27, 2021
Published in print: Dec 1, 2021
Discussion open until: Dec 27, 2021
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