Tatsuya Sakurahara

Tatsuya Sakurahara
Tatsuya Sakurahara
Research Assistant Professor
(217) 244-7546
124 Talbot Laboratory

For more information

Education

  • University of Illinois at Urbana-Champaign, PhD, Nuclear, Plasma, and Radiological Engineering, 2018
  • University of Tokyo, MS, Nuclear Engineering and Management, 2013
  • University of Tokyo, BS, Environment and Energy Systems Engineering, 2011

Biography

Tatsuya Sakurahara is a Research Assistant Professor at the Socio-Technical Risk Analysis (SoTeRiA) Research Laboratory in the Department of Nuclear, Plasma, and Radiological Engineering (NPRE). The SoTeRiA Research Laboratory is a multi-disciplinary research team focusing on advancements of Probabilistic Risk Assessment (PRA), pioneering three key areas of scholarly developments: (1) spatiotemporal coupling of physical failure mechanisms with human/social performance and generating an Integrated PRA (I-PRA) methodological framework, (2) incorporating big data analytics into PRA, and (3) integrating safety risk and financial risk. His current research interest includes the pipe failure rate estimation for advanced nuclear reactors, component reliability and availability prediction with explicit modeling of maintenance work processes and its coupling with physical degradation, and advancements of Fire PRA for nuclear power plants focusing on an efficient screening approach and multi-compartment fire analysis.

Sakurahara holds a Ph.D. in Nuclear Engineering from the University of Illinois at Urbana-Champaign. His Ph.D. research developed an Integrated Probabilistic Risk Assessment (I-PRA) methodological framework for Fire PRA of nuclear power plants by coupling a computational fluid dynamics (CFD) fire model with a human performance model for fire crew and integrating the fire-human coupling with the plant PRA model. For I-PRA, he also developed advanced techniques for importance measure analysis, the simulation-informed common cause failure modeling, and the Probabilistic Validation methodology for comprehensive uncertainty analysis. Sakurahara holds an M.Sc. in Nuclear Engineering and Management and a B.S. in Environment and Energy System Engineering from the University of Tokyo.

Academic Positions

  • 2021 - Present, Faculty Affiliate, Illinois Informatics Institute, University of Illinois at Urbana-Champaign
  • 2020-Present, Research Assistant Professor, Department of Nuclear, Plasma, and Radiological Engineering, Grainger College of Engineering, University of Illinois at Urbana-Champaign
  • 2018-Present, Chief Scientist, Socio-Technical Risk Analysis Industry Affiliates Program (SoTeRiA-IAP), Grainger College of Engineering, University of Illinois at Urbana-Champaign

Research Interests

  • Probabilistic Risk Assessment (PRA)
  • Integrated static-dynamic PRA
  • Probabilistic Physics-of-Failure (PPoF) analysis
  • Human Reliability Analysis (HRA)
  • Reliability and maintenance
  • Risk-informed analysis for advanced nuclear reactors
  • Risk importance measure
  • Uncertainty quantification
  • Sensitivity analysis
  • Risk-informed decision-making
  • Fire PRA
  • Common Cause Failure (CCF) analysis

Selected Articles in Journals

Articles in Conference Proceedings

  • K. Shimada, T. Sakurahara, S. Reihani, Z. Mohaghegh, Integration of Evacuation Simulation with a Level 3 PRA Code for Nuclear Power Plants, Proceedings of 2020 Asian Symposium on Risk Assessment and Management Conference (ASRAM2020), Online Virtual Conference, 2020
  • J. Yang, J. Pence, P. Farshadmanesh, T. Sakurahara, S. Reihani, C. Blake, Z. Mohaghegh, Equipping Machine Learning with Uncertainty Quantification to Update Probabilistic Risk Assessment of Nuclear Power Plants using NRC Licensee Event Reports, Proceedings of 2020 American Nuclear Society (ANS) Winter Meeting, Online Virtual Conference, 2020
  • H. Bui, T. Sakurahara, S. Reihani, J. Biersdorf, Z. Mohaghegh, I-PRA Uncertainty Importance Ranking to Enhance Fire PRA Realism for Nuclear Power Plants, Proceedings of 2020 American Nuclear Society (ANS) Winter Meeting, Virtual Conference, 2020
  • W.-C. Cheng, J. Beal, T. Sakurahara, S. Reihani, E. Kee, Z. Mohaghegh, Integrated Probabilistic Physics of Failure Methodology to Estimate Pipe Failure Rates for Risk-Informed Analysis of Advanced Nuclear Reactors, Proceedings of 2020 American Nuclear Society (ANS) Winter Meeting, Online Virtual Conference, 2020
  • J. Beal, T. Sakurahara, E. Kee, S. Reihani, Z. Mohaghegh, Integrated Enterprise Risk Management to Synchronize Safety and Profitability Analysis for Nuclear Power Plants, Proceedings of 2020 American Nuclear Society (ANS) Winter Meeting, Online Virtual Conference, 2020
  • J. Pence, J. Yang, P. Farshadmanesh, T. Sakurahara, S. Reihani, Z. Mohaghegh, Theory-Guided Machine Learning for Licensee Event Reports of U.S. Nuclear Power Plants to Quantify Organizational Factors in Probabilistic Risk Assessment, Proceedings of 30th European Safety and Reliability Conference & 15th Probabilistic Safety Assessment and Management Conference (ESREL2020 & PSAM15), Venice, Italy, 2020
  • P. Farshadmanesh, T. Sakurahara, S. Reihani, E. Kee, Z. Mohaghegh, Risk-Informed Analysis of Nuclear Power Plant FLEX Storage Building, Proceedings of 30th European Safety and Reliability Conference & 15th Probabilistic Safety Assessment and Management Conference (ESREL2020 & PSAM15), Venice, Italy, 2020
  • J. Beal, T. Sakurahara, S. Reihani, E. Kee, Z. Mohaghegh, An Algorithm for Risk-Informed Analysis of Advanced Reactors with a Case Study of Pipe Failure Rate Estimation, Proceedings of 30th European Safety and Reliability Conference & 15th Probabilistic Safety Assessment and Management Conference (ESREL2020 & PSAM15), Venice, Italy, 2020
  • S. Alkhatib, T. Sakurahara, S. Reihani, E. Kee, B. Ratte, Z. Mohaghegh, Academia-Industry Collaboration to Advance Screening Processes in Fire PRA of Nuclear Power Plants, Proceedings of 30th European Safety and Reliability Conference & 15th Probabilistic Safety Assessment and Management Conference (ESREL2020 & PSAM15), Venice, Italy, 2020
  • T. Sakurahara, H. Bui, S. Reihani, E. Kee, Z. Mohaghegh, Enhancing Realism in Fire Probabilistic Risk Assessment of Nuclear Power Plants, Proceedings of 30th European Safety and Reliability Conference & the 15th Probabilistic Safety Assessment and Management Conference (ESREL2020 & PSAM15), Venice, Italy, 2020
  • H. Bui, T. Sakurahara, S. Reihani, J. Biersdorf, Z. Mohaghegh, Integrated Probabilistic Risk Assessment (I-PRA) Importance Ranking for Fire PRA of Nuclear Power Plants, Proceedings of 2019 American Nuclear Society (ANS) Winter Meeting, Washington D.C., 2019
  • J. Beal, T. Sakurahara, J. Pence, P. Farshadmanesh, S. Reihani, E. Kee, Z. Mohaghegh, Coupling Degradation and Maintenance to Model Safety Risk and Financial Risk Under An Integrated Enterprise Risk Management Methodology for Nuclear Power Plants, Proceedings of 25th International Conference on Structural Mechanics in Reactor Technology (SMiRT 25), Charlotte, NC, 2019
  • T. Sakurahara, G. Schumock, T. Murase, Z. Mohaghegh, S. Reihani, E. Kee, Spatio-Temporal Probabilistic Methodology and Computational Platform for Common Cause Failure Modeling in Risk Analysis, Proceedings of 2017 American Nuclear Society (ANS) International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA2017), Pittsburgh, PA, 2017
  • T. Sakurahara, Z. Mohaghegh, S. Reihani, E. Kee, Modeling the Interface of Manual Fire Protection Actions with Fire Progression in Fire Probabilistic Risk Assessment of Nuclear Power Plants, Proceedings of 2017 American Nuclear Society International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA2017), Pittsburgh, PA, 2017
  • T. Sakurahara, Z. Mohaghegh, S. Reihani, E. Kee, Global Importance Measure Methodology for Integrated Probabilistic Risk Assessment, Proceedings of 2017 American Nuclear Society International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA2017), Pittsburgh, PA, 2017
  • T. Sakurahara, H. Bui, J. Pence, W.-C. Cheng, Z. Mohaghegh, E. Kee, S. Reihani, M. Wortman, V. Moiseytseva, F. Yilmaz, D. Johnson, Protective Systems: Possible Extensions to the RoverD Method, Proceedings of 2017 American Nuclear Society International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA2017), Pittsburgh, PA, 2017
  • H.H. Bui, T. Sakurahara, J. Pence, Z. Gu, Z. Mohaghegh, S. Reihani, M. Wortman, E. Kee, V. Moiseytseva, D. Johnson, Protective Systems: Definitions and Terms in the Regulated Risk Assessment Setting, Proceedings of 2017 American Nuclear Society International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA2017), Pittsburgh, PA, 2017
  • H.H. Bui, T. Sakurahara, W.-C. Cheng, Z. Mohaghegh, S. Reihani, E. Kee, T. Crook, R. Vaghetto, M. Wortman, D. Munoz, D. Johnson, W. Schulz, F. Yilmaz, V. Moiseytseva, Protective Systems: An Application of Regulatory Guidance for ECCS Sump Performance, Proceedings of 2017 American Nuclear Society International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA2017), Pittsburgh, PA, 2017
  • W.-C. Cheng, C.-H. Ding, N. O’Shea, T. Sakurahara, G. Schumock, Z. Mohaghegh, S. Reihani, E. Kee, Global Sensitivity Analysis to Rank Parameters of Stress Corrosion Cracking in the Spatio-Temporal Probabilistic Model of Loss of Coolant Accident Frequencies, Proceedings of 2017 American Nuclear Society International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA2017), Pittsburgh, PA, 2017
  • T. Sakurahara, S. Reihani, Z. Mohaghegh, M. Brandyberry, E. Kee, S. Rodgers, M.A. Billings, Integrated Probabilistic Risk Assessment (I-PRA) Methodology to Advance Fire Risk Modeling in Nuclear Power Plants, Proceedings of Annual European Safety and Reliability Conference 2015 (ESREL2015), Zürich, Switzerland, 2015
  • T. Sakurahara, S. Reihani, Z. Mohaghegh, M. Brandyberry, E. Kee, D. Johnson, S. Rodgers, M.A. Billings, Developing a New Fire PRA Framework by Integrating Probabilistic Risk Assessment with a Fire Simulation Module, Proceedings of 12th Probabilistic Safety Assessment and Management Conference (PSAM12), Honolulu, HI, 2014
  • T. Sakurahara, S. Reihani, M. Ertem, Z. Mohaghegh, E. Kee, Analyzing Importance Measure Methodologies for Integrated Probabilistic Risk Assessment in Nuclear Power Plants, Proceedings of 12th Probabilistic Safety Assessment and Management Conference (PSAM12), Honolulu, HI, 2014
  • T. Sakurahara, Z. Mohaghegh, E. Kee, S. Rodgers, M. Brandyberry, R. Kazemi, S. Reihani, A New Integrated Framework to Advance Fire Probabilistic Risk Analysis of Nuclear Power Plants, Proceedings of 2013 American Nuclear Society (ANS) Winter Meeting, Risk Management Topical Meeting, Washington, D.C., 2013

Reports

  • J.M. Biersdorf, H. Bui, T. Sakurahara, S. Reihani, C. Lafleur, D.L. Luxat, S.R. Prescott, Z. Mohaghegh, Risk Importance Ranking of Fire Data Parameters to Enhance Fire PRA Model Realism, INL/EXT-20-58489, Idaho National Laboratory, Idaho Falls, ID, 2020

Teaching Honors

  • Teaching Excellence Awards from the Illinois Student Government at the University of Illinois at Urbana-Champaign (April 2017)