Enhancement of risk informed validation framework for external hazard scenario

Bodda, Saran Srikanth; Gupta, Abhinav; Dinh, Nam

doi:10.1016/j.ress.2020.107140

Enhancement of risk informed validation framework for external hazard scenario

Journal Article · Sat Jun 27 00:00:00 EDT 2020 · Reliability Engineering and System Safety

DOI:https://doi.org/10.1016/j.ress.2020.107140· OSTI ID:1850493

Bodda, Saran Srikanth ^[1]; Gupta, Abhinav ^[2]; Dinh, Nam ^[3]

North Carolina State Univ., Raleigh, NC (United States). Dept. of CCEE; North Carolina State Univ., Raleigh, NC (United States)
North Carolina State Univ., Raleigh, NC (United States). Center for Nuclear Energy Facilities and Structures
North Carolina State Univ., Raleigh, NC (United States). Dept. of Nuclear Engineering

In recent years, the U.S. Nuclear Regulatory Commission (USNRC) and the International Atomic Energy Agency (IAEA) have developed methodologies to assess the vulnerabilities of nuclear plants against site specific extreme hazards. In many cases, advanced simulation tools are being considered to simulate multi-physics, multi-scale phenomena and to evaluate vulnerability of nuclear facilities. The credibility of advanced simulation tools is assessed based on a formal verification, validation, and uncertainty quantification procedure. One of the key limitations in validation is the lack of relevant experimental data at system-level. This limitation leads to a decrease in the confidence of system-level risk predictions. Therefore, a robust validation framework is needed to formalize the confidence in predictive capability of advanced simulation results. Additionally, this study enhances the existing risk informed validation methodology, originally proposed by Kwag et al. [1] and Bodda et al. [2], by developing additional attributes and a new set of validation indicies for a complete and wider applicability of the framework. In this manuscript, the methodology to identify the critical path that leads to the system-level failure is illustrated. The overall validation is checked for completeness and consistency by comparing the critical path for both the system-level simulation and experimental models. The applicability of the code for an intended application is represented in terms of various maturity levels and helps in the process of decision making.

View Accepted Manuscript (DOE)

Research Organization:: North Carolina State Univ., Raleigh, NC (United States)

Sponsoring Organization:: USDOE; USDOE Office of Nuclear Energy (NE)

Grant/Contract Number:: NE0008530

OSTI ID:: 1850493

Alternate ID(s):: OSTI ID: 1644157

Journal Information:: Reliability Engineering and System Safety, Journal Name: Reliability Engineering and System Safety Journal Issue: C Vol. 204; ISSN 0951-8320

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

References (25)

Reliability Modeling of Redundant Systems Considering CCF Based on DBN Li, Zhiqiang; Xu, Tingxue; Gu, Junyuan Arabian Journal for Science and Engineering, Vol. 44, Issue 3 https://doi.org/10.1007/s13369-018-3307-y	journal	May 2018
Seismic fragilities for nuclear power plant risk studies Kennedy, R. P.; Ravindra, M. K. Nuclear Engineering and Design, Vol. 79, Issue 1 https://doi.org/10.1016/0029-5493(84)90188-2	journal	May 1984
Quantifying reactor safety margins part 1: An overview of the code scaling, applicability, and uncertainty evaluation methodology Boyack, B. E.; Catton (UCLA), I.; Duffey (INEL), R. B. Nuclear Engineering and Design, Vol. 119, Issue 1 https://doi.org/10.1016/0029-5493(90)90071-5	journal	May 1990
Improving the analysis of dependable systems by mapping fault trees into Bayesian networks Bobbio, A.; Portinale, L.; Minichino, M. Reliability Engineering & System Safety, Vol. 71, Issue 3 https://doi.org/10.1016/S0951-8320(00)00077-6	journal	March 2001
Applying Generalized Continuous Time Bayesian Networks to a reliability case study Codetta-Raiteri, Daniele IFAC-PapersOnLine, Vol. 48, Issue 21 https://doi.org/10.1016/j.ifacol.2015.09.605	journal	January 2015
Seismic fragility of threaded Tee-joint connections in piping systems Ju, Bu Seog; Gupta, Abhinav International Journal of Pressure Vessels and Piping, Vol. 132-133 https://doi.org/10.1016/j.ijpvp.2015.06.001	journal	August 2015
Probabilistic risk assessment framework for structural systems under multiple hazards using Bayesian statistics Kwag, Shinyoung; Gupta, Abhinav Nuclear Engineering and Design, Vol. 315 https://doi.org/10.1016/j.nucengdes.2017.02.009	journal	April 2017
A framework for assessment of predictive capability maturity and its application in nuclear thermal hydraulics Athe, Paridhi; Dinh, Nam Nuclear Engineering and Design, Vol. 354 https://doi.org/10.1016/j.nucengdes.2019.110201	journal	December 2019
Risk informed validation framework for external flooding scenario Bodda, Saran Srikanth; Gupta, Abhinav; Dinh, Nam Nuclear Engineering and Design, Vol. 356 https://doi.org/10.1016/j.nucengdes.2019.110377	journal	January 2020
Adequacy evaluation of smoothed particle hydrodynamics methods for simulating the external-flooding scenario Lin, Linyu; Montanari, Niels; Prescott, Steven Nuclear Engineering and Design, Vol. 365 https://doi.org/10.1016/j.nucengdes.2020.110720	journal	August 2020
Validation of reliability computational models using Bayes networks Mahadevan, Sankaran; Rebba, Ramesh Reliability Engineering & System Safety, Vol. 87, Issue 2 https://doi.org/10.1016/j.ress.2004.05.001	journal	February 2005
Bayesian risk-based decision method for model validation under uncertainty Jiang, Xiaomo; Mahadevan, Sankaran Reliability Engineering & System Safety, Vol. 92, Issue 6 https://doi.org/10.1016/j.ress.2006.03.006	journal	June 2007
Bayesian networks for multilevel system reliability Wilson, Alyson G.; Huzurbazar, Aparna V. Reliability Engineering & System Safety, Vol. 92, Issue 10 https://doi.org/10.1016/j.ress.2006.09.003	journal	October 2007
Advanced nuclear power plant regulation using risk-informed and performance-based methods Modarres, Mohammad Reliability Engineering & System Safety, Vol. 94, Issue 2 https://doi.org/10.1016/j.ress.2008.02.019	journal	February 2009
Bayesian inference in probabilistic risk assessment—The current state of the art Kelly, Dana L.; Smith, Curtis L. Reliability Engineering & System Safety, Vol. 94, Issue 2 https://doi.org/10.1016/j.ress.2008.07.002	journal	February 2009
On the use of uncertainty importance measures in reliability and risk analysis Aven, T.; Nøkland, T. E. Reliability Engineering & System Safety, Vol. 95, Issue 2 https://doi.org/10.1016/j.ress.2009.09.002	journal	February 2010
Safety analysis in process facilities: Comparison of fault tree and Bayesian network approaches Khakzad, Nima; Khan, Faisal; Amyotte, Paul Reliability Engineering & System Safety, Vol. 96, Issue 8 https://doi.org/10.1016/j.ress.2011.03.012	journal	August 2011
Probabilistic risk assessment based model validation method using Bayesian network Kwag, Shinyoung; Gupta, Abhinav; Dinh, Nam Reliability Engineering & System Safety, Vol. 169 https://doi.org/10.1016/j.ress.2017.09.013	journal	January 2018
Bayesian inference for Common cause failure rate based on causal inference with missing data Nguyen, H. D.; Gouno, E. Reliability Engineering & System Safety, Vol. 197 https://doi.org/10.1016/j.ress.2019.106789	journal	May 2020
Framework for Multihazard Risk Assessment and Mitigation for Wood-Frame Residential Construction Li, Yue; Ellingwood, Bruce R. Journal of Structural Engineering, Vol. 135, Issue 2 https://doi.org/10.1061/(ASCE)0733-9445(2009)135:2(159)	journal	February 2009
Some Recent Advances on Importance Measures in Reliability Kuo, Way; Zhu, Xiaoyan IEEE Transactions on Reliability, Vol. 61, Issue 2 https://doi.org/10.1109/TR.2012.2194196	journal	June 2012
Validation Metrics for Deterministic and Probabilistic Data Maupin, Kathryn A.; Swiler, Laura P.; Porter, Nathan W. Journal of Verification, Validation and Uncertainty Quantification, Vol. 3, Issue 3 https://doi.org/10.1115/1.4042443	journal	September 2018
System Risk Importance Analysis Using Bayesian Networks Noroozian, Ali; Kazemzadeh, Reza Baradaran; Niaki, Seyed Taghi Akhavan International Journal of Reliability, Quality and Safety Engineering, Vol. 25, Issue 01 https://doi.org/10.1142/S0218539318500043	journal	February 2018
On the Jensen–Shannon Symmetrization of Distances Relying on Abstract Means Nielsen, Frank Entropy, Vol. 21, Issue 5 https://doi.org/10.3390/e21050485	journal	May 2019
Treating Uncertainties in a Nuclear Seismic Probabilistic risk Assessment by Means of the Dempster-Shafer Theory of Evidence Lo, Chung-Kung; Pedroni, N.; Zio, E. Nuclear Engineering and Technology, Vol. 46, Issue 1 https://doi.org/10.5516/NET.03.2014.701	journal	February 2014

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Related Subjects

42 ENGINEERING
Bayesian inference
Engineering
External hazards
Operations Research & Management Science
Probabilistic risk assessment (PRA)
Risk-informed
Uncertainty quantification
Validation

Enhancement of risk informed validation framework for external hazard scenario

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