Nuclear Power Plant Design and Analysis Codes: Development, Validation, and ApplicationКНИГИ » ТЕХНИЧЕСКИЕ НАУКИ
Название: Nuclear Power Plant Design and Analysis Codes: Development, Validation, and Application Автор: Editors: Jun Wang, Xin Li, Chris Allison, Judy Hohorst Издательство: Woodhead Publishing Год: 2021 Формат: PDF Страниц: 582 Размер: 54.59 МБ Язык: English
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.
Captures important research conducted over last few decades by experts and allows new researchers and professionals to learn from the work of their predecessors Presents the most recent updates and developments, including the capabilities, limitations, and future development needs of all codes
Incudes applications for each code to ensure readers have complete knowledge to apply to their own setting.
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Nuclear Power Plant Design and Analysis Codes: Development, Validation, and Application 
