Risk-informed Methods and Applications in Nuclear and Energy Engineering

Modeling, Experimentation, and Validation

Curtis Smith, Diego Mandelli, Katya Le Blanc

• Publisher: Academic Press
• Year: 2023
• Print ISBN: 9780323911528
• eBook ISBN: 9780323998185
• Topic: Physical Sciences
• Subtopic: Nuclear Physics

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

Table of contents

• Cover
• Front Matter
• Table of Contents
• Copyright
• Contributors
• List of Illustrations
• List of Tables
• Chapter 1 : Introduction
• Chapter 2 : Improving nuclear power plant flooding hazard analysis through component performance experiments, fragility model development, and smoothed particle hydrodynamic simulation
• Chapter 3 : Severe accidents in light water reactors
• Chapter 4 : Dynamic probabilistic risk assessment (PRA): Theory, tools, and applications for uncertainty quantification
• Chapter 5 : Cyber risk considerations for nuclear digital I&C systems
• Chapter 6 : Perspective on attributes of modeling and simulation tools for effective reactor core analysis
• Chapter 7 : Coupled multiphysics simulations in nuclear reactor design and safety
• Chapter 8 : Data-driven prognostics and health management (PHM) for predictive maintenance of industrial components and systems
• Chapter 9 : The history of risk-informing reactor safety regulation☆
• Chapter 10 : Dynamic PRA: An overview of methods and applications using RAVEN
• Introduction
• Chapter 11 : Enhancing resilience of our Nation's critical infrastructure
• Chapter 12 : Light Water Reactor Sustainability Program—Enabling the continued operation of existing US nuclear reactors
• Chapter 13 : Idaho National Laboratory (INL) microgrid testbeds
• Chapter 14 : Modeling and simulation of advanced manufacturing techniques using MOOSE and MALAMUTE
• Chapter 15 : Critical infrastructure modeling: Resilience and the ability to adapt and maneuver to threats
• Introduction
• Chapter 16 : Status and trends of kinetic Monte Carlo simulation in reactor physics
• Chapter 17 : Inverse uncertainty quantification based on the modular Bayesian approach
• Chapter 18 : Modeling and simulation for security system design and evaluation
• Chapter 19 : Human system simulation laboratory for testing, evaluation, and validation of human performance☆
• Index
• A