Wang / Li / Allison | Nuclear Power Plant Design and Analysis Codes | Buch | 978-0-12-818190-4 | sack.de

Buch, Englisch, 608 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 1260 g

Wang / Li / Allison

Nuclear Power Plant Design and Analysis Codes

Development, Validation, and Application
Erscheinungsjahr 2020
ISBN: 978-0-12-818190-4
Verlag: William Andrew Publishing

Development, Validation, and Application

Buch, Englisch, 608 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 1260 g

ISBN: 978-0-12-818190-4
Verlag: William Andrew Publishing


Nuclear Power Plant Design and Analysis Codes: Development, Validation, and Application presents the latest research on the most widely used nuclear codes and the wealth of successful accomplishments which have been achieved over the past decades by experts in the field. Editors Wang, Li,Allison, and Hohorst and their team of authors provide readers with a comprehensive understanding of nuclear code development and how to apply it to their work and research to make their energy production more flexible, economical, reliable and safe.

Written in an accessible and practical way, each chapter considers strengths and limitations, data availability needs, verification and validation methodologies and quality assurance guidelines to develop thorough and robust models and simulation tools both inside and outside a nuclear setting. This book benefits those working in nuclear reactor physics and thermal-hydraulics, as well as those involved in nuclear reactor licensing. It also provides early career researchers with a solid understanding of fundamental knowledge of mainstream nuclear modelling codes, as well as the more experienced engineers seeking advanced information on the best solutions to suit their needs.
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Zielgruppe


<p>Engineers in the nuclear industry; professors & post-grad students involved in code development; senior professionals involve in code development from a computer science perspective; early career researchers and professionals requiring a foundational understanding of nuclear code development carried out by their predecessors, and how it applies to their specific area of research.</p>

Weitere Infos & Material


I MAP OF CODE DEVELOPMENT 1. Roadmap 2. Guidance of Nuclear Code development 3. Nuclear Engineering Software Quality Assurance 4. Multi-physics Coupling Plan

II PHYSICS AND FUELS CODES 5. Nuclear Physics Deterministic Code 6. Nuclear Physics Probability Code: OpenMC

III FUELS AND SUB-CHANNEL CODES 7. Fuels and Assemblies Codes: FRAPCON/FRAPTRAN 8. Fuels and Assemblies Codes: TRANSURANUS 9. Fuels and Assemblies Codes: ALCYONE and GERMINAL 10. Sub-Channel Codes: CTF and VIPRE-01

IV THERMAL-HYDRAULIC CODES 11. RCS Systems Thermal Hydraulic Codes: RELAP5-based codes 12. RCS Systems Thermal Hydraulic Codes: TRACE 13. ATHLET 14. SAM 15. Other Thermal Hydraulic Codes

V SEVERE ACCIDENT CODES 16. RCS SA Codes: RELAP/SCDAPSIM 17. ATHLET-CD 18. Integral SA Codes: IMPACT/SAMPSON 19. MELCOR

VI Noval CFD methods 20. MPS Code 21. LBM Code

VII SPECIAL OR NEW DIRECTION 22. Code for Nuclear materials 23. Nuclear Power Plant Cybersecurity 24. Artificial Neural Network 25. Artificial Intelligence Code 26.Temporal Data Mining (TDM)


Allison, Chris
Dr. Chris Allison worked at Idaho National Laboratory as a technical specialist for over 20 years, involved in experimental and code development activities. Now Dr. Allison is the general manager and co-founder of Innovative Systems Software (ISS), LLC. Dr. Allison serves as a technical consultant for the International Atomic Energy Agency (IAEA) for severe accident management and analysis. He has served as a guest lecturer for IAEA-sponsored training workshops on RELAP5 and RELAPS/SCDAP. He has served in a similar capacity for the U.S. Nuclear Regulatory Commission (NRC) and U.S. Department of Energy (DOE).

Hohorst, Judy
Dr. Judy Hohorst works at Innovative Systems Software LLC as a senior engineer. She is in charge of the work RELAP/SCDAP training, and RELAP/SCDPASIM validation.

Li, Xin
Dr. Xin Li has years of experience in numerical modeling both at the macroscopic nuclear power plant system level and at the microscopic phenomenological level. Her research interests and expertise are analysis of severe accident phenomenology and thermal-hydraulics as well as Computer Fluid Dynamics.

Wang, Jun
Dr. Jun Wang is a Research Scientist at the University of Wisconsin, Madison. He has over 10 years of experience in code development, validation, and application, and his research areas include nuclear thermal hydraulics and safety, severe accident, fuel performance, and advanced reactors. Wang has over 50 peer-review articles published on top nuclear journals and conferences. He also has over 200 peer-review experience in 20 journals and conferences, such as the International Journal of Heat and Mass Transfer, Applied Thermal Engineering, Annals of Nuclear Energy, Nuclear Technology, Nuclear Engineering and Design, and Progress in Nuclear Energy.


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