Risk-informed Methods and Applications in Nuclear and Energy Engineering (eBook, ePUB)

Modeling, Experimentation, and Validation
Redaktion: Smith, Curtis; Blanc, Katya Le; Mandelli, Diego

• Format: ePub

Produktbeschreibung

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

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 600
• Erscheinungstermin: 16. November 2023
• Englisch
• ISBN-13: 9780323998185
• Artikelnr.: 69463541

Inhaltsangabe

1. Background
2. Nuclear Safety
3. Simulation and Modeling
4. Experiment and Validation
5. Risk and Reliability