Risk-informed Methods and Applications in Nuclear and Energy Engineering: Modeling, Experimentation, and Validation

by Curtis Smith (Editor), Diego Mandelli (Editor), Katya Le Blanc (Editor)

Overview

Risk-informed Methods and Applications in Nuclear and Energy Engineering: Modelling, Experimentation, and Validation presents a comprehensive view of the latest technical approaches and experimental capabilities in nuclear energy engineering. Based on Idaho National Laboratory's popular summer school series, this book compiles a collection of entries on the cutting-edge research and knowledge presented by proponents and developers of current and future nuclear systems, focusing on the connection between modelling and experimental approaches. Included in this book are key topics such as probabilistic concepts for risk analysis, the survey of legacy reliability and risk analysis tools, and newly developed tools supporting dynamic probabilistic risk-assessment. This book is an insightful and inspiring compilation of work from top nuclear experts from INL. Industry professionals, researchers and academics working in nuclear engineering, safety, operations and training will gain a board picture of the current state-of-practice and be able to apply that to their own risk-assessment studies. - Based on Idaho National Laboratory's summer school series, this book is a collection of entries from proponents and developers of current and future nuclear systems - Provides an up-to-date view of current technical approaches and experimental capabilities in nuclear energy engineering, covering modeling and validation, and focusing on risk-informed methods and applications - Equips the reader with an understanding of various case studies and experimental validations to enable them to carry out a risk-assessment study

Product Details

ISBN-13:	9780323998185
Publisher:	Elsevier Science & Technology Books
Publication date:	11/16/2023
Sold by:	Barnes & Noble
Format:	eBook
Pages:	600
File size:	47 MB
Note:	This product may take a few minutes to download.

About the Author

Dr. Curtis Smith is the Director for the Idaho National Laboratory Nuclear Safety and Regulatory Research Division. His most recent appointment is in serving as the lead for the Risk Integration and Uncertainty Working Group for the NASA Interagency Nuclear Safety Review Panel (INSRP) on the Mars 2020 mission. Dr. Smith has been in the risk and reliability assessment field for more than 28 years. He has worked at INL as a risk analysis specialist and has served as a consultant for a diverse set of organizations including the Department of Energy (DOE), the Nuclear Regulatory Commission (NRC), the National Aeronautics and Space Administration (NASA), the International Atomic Energy Agency (IAEA), the Federal Aviation Administration (FAA), and other government and private companies. Dr. Smith has published over 200 papers, books, and reports on risk and reliability theory and application. He has taught over 100 technical and university courses on a variety of reliability and safety topics. He holds a Ph.D. in nuclear engineering from Massachusetts Institute of Technology. He is a member of the American Society of Mechanical Engineers, American Nuclear Society, and the Idaho Academy of Sciences.
Dr. Diego Mandelli is an R&D Scientist in the “Reliability, Risk and Resilience Sciences” Department at the Idaho National Laboratory (INL). His areas of expertise include risk, reliability, and system health management. His research focuses on the development of probabilistic methods based on machine learning, data mining and optimization algorithms. He is currently employing these methods to perform state-of-the-art simulation-based safety assessment (also known as dynamic probabilistic risk assessment), system health management and stochastic resource optimization. His developed methods range from data pre-processing, system modeling, system analysis, data mining/visualization, and decision making. He holds a Ph.D. degree in Nuclear Engineering from The Ohio State University (2011). He is a member of the American Nuclear Society.
Katya Le Blanc is a senior human factors scientist who has been conducting research in the energy sector at INL for 11 years. Her research in nuclear power plant modernization has led transformational change in the way field operators conduct procedures and has improved operator interfaces for control of nuclear power plants. She has designed human-system interfaces for transmission system technologies and cyber security for electric grid operation. She leads research in several complex, multidisciplinary subjects including nuclear power plant modernization, and cyber security risk characterization in nuclear power and critical infrastructure. She is the deputy National Technical Director the Department of Energy Nuclear Energy's Cyber security program, and leads research on cyber security risk management for nuclear power. Katya has over 100 technical publications in the subject of human factors in the energy sector. She is a senior member of IEEE, and holds a PhD and Master’s degree in cognitive psychology from New Mexico State and a BS in Psychology from New Mexico Institute of Mining and Technology.

Table of Contents

1. Background2. Nuclear Safety3. Simulation and Modeling4. Experiment and Validation5. Risk and Reliability

What People are Saying About This

From the Publisher

Presents current technical approaches and experimental capabilities in nuclear energy engineering, covering modeling, validation, methods and applications