Tatsuya Sakurahara

University of Illinois Urbana-Champaign — United States

Decision Sciences · Social Sciences

10h-index376citations60works2.72yr avg
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Research Topics

Risk and Safety Analysis(53), Probabilistic and Robust Engineering Design(17), Nuclear Engineering Thermal-Hydraulics(17), Fire dynamics and safety research(7), Occupational Health and Safety Research(6)

Publications60 total

Bayesian network-based surrogate model for physical simulation in probabilistic risk assessment of nuclear power plants
Annals of Nuclear Energy·2025
Uncertainty-Based Validation of Maintenance-Physical Degradation Coupled Models in the Absence of Maintenance Performance Data: Application for Nuclear Power Plant Piping Reliability Analysis
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering·2025
A systematic decision-making methodology to formalize the selection of degree of realism in screening analysis of probabilistic risk assessment
Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability·2025· 1 citedOpen Access
A novel methodology to scientifically justify the formulation of modeling assumptions in screening analysis of Probabilistic Risk Assessment (PRA)
Annals of Nuclear Energy·2025· 2 cited
Bayesian Network as a Surrogate Model for Physical Simulations in Probabilistic Risk Assessment
2025
Guiding the Formulation of Surrogate Values of Modeling Input Parameters in Screening Analysis of Probabilistic Risk Assessment (PRA)
2025
Predictive Decision-Making in Support of the Selection of Degree of Realism in Probabilistic Risk Assessment (PRA)
2025
Bayesian Network-Based Surrogate Model for Physical Simulation in Probabilistic Risk Assessment of Nuclear Power Plants
SSRN Electronic Journal·2025Open Access
Modeling nuclear power plant piping reliability by coupling a human reliability analysis-based maintenance model with a physical degradation model
Reliability Engineering & System Safety·2024· 19 cited
Phenomenological Nondimensional Parameter Decomposition to Enhance the Use of Simulation Modeling in Fire Probabilistic Risk Assessment of Nuclear Power Plants
Journal of Nuclear Engineering·2024· 4 citedOpen Access
Uncertainty-Based Validation Methodology and Experimental Analysis for External Control Room Human Performance Simulation: Application to Fire Probabilistic Risk Assessment of Nuclear Power Plants
Nuclear Science and Engineering·2024· 2 cited
Modeling interconnections of safety and financial performance of nuclear power plants, Part 2: Methodological developments and case study
Progress in Nuclear Energy·2024· 4 citedOpen Access
Modeling interconnections of safety and financial performance of nuclear power plants part 1: Categorical review and theoretical bases
Progress in Nuclear Energy·2024· 3 citedOpen Access
Integration of Level 3 probabilistic risk assessment for nuclear power plants with transportation simulation considering earthquake hazards
Annals of Nuclear Energy·2023· 3 cited
Probabilistic Validation: Computational Platform and Application to Fire Probabilistic Risk Assessment of Nuclear Power Plants
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering·2023· 3 cited
Probabilistic Validation: Theoretical Foundation and Methodological Platform
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering·2023· 4 cited
Estimation of pipe failure frequencies in the absence of operational experience data: A pilot study
Nuclear Engineering and Design·2022· 6 citedOpen Access
Uncertainty analysis on support vector machine for measuring organizational factors in probabilistic risk assessment of nuclear power plants
Progress in Nuclear Energy·2022· 4 cited
Modeling interconnections of safety and financial performance of nuclear power plants, part 3: Spatiotemporal probabilistic physics-of-failure analysis and its connection to safety and financial performance
Progress in Nuclear Energy·2022· 7 citedOpen Access
Integrated Fire Probabilistic Risk Assessment (PRA) Modeling in Support of Operational Efficiency (Final Report)
2022· 1 citedOpen Access
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Frequent Co-authors

Zahra Mohaghegh(47), Seyed Reihani(43), Ernie Kee(35), Ha Bui(10), Pegah Farshadmanesh(9), John Beal(7), Justin Pence(6), Sari Alkhatib(6), Grant Schumock(4), Mark Brandyberry(4), Shawn Rodgers(4), Fatma Yılmaz(4), Sai Zhang(3), Mary Anne Billings(3), Vera Moiseytseva(3), Brian Ratté(3), John M Biersdorf(3), Mehmet Ertem(2), Nicholas O'Shea(2), Wen-Chi Cheng(2)