Resonance Self-Shielding Calculation Methods in Nuclear Reactors (Woodhead Publishing Series in Energy) - Softcover

Cao; Wu; Zhang; He; Zu

Softcover

ISBN 10: 0323858724 ISBN 13: 9780323858724

Publisher: Woodhead Publishing, 2022

Synopsis

Resonance Self-Shielding Calculation Methods in Nuclear Reactors presents the latest progress in resonance self-shielding methods for both deterministic and Mote Carlo methods, including key advances over the last decade such as high-fidelity resonance treatment, resonance interference effect and multi-group equivalence. As the demand for high-fidelity resonance self-shielding treatment is increasing due to the rapid development of advanced nuclear reactor concepts and progression in high performance computational technologies, this practical book guides students and professionals in nuclear engineering and technology through various methods with proven high precision and efficiency.

• Presents a collection of resonance self-shielding methods, as well as numerical methods and numerical results
• Includes new topics in resonance self-shielding treatment
• Provides source codes of key calculations presented

About this title

About the Authors

Prof. Liangzhi Cao earned his PhD in Nuclear Engineering from Xi’an Jiaotong University (XJTU) in 2005, after which he work there as a faculty member in the School of Nuclear Science and Technology.
Prof. Cao is now serving as the Executive Editor of Annals of Nuclear Energy, Associate Editor of ASME J. of Nuclear Engineering and Radiation Science, the Program Committee member of Reactor Physics Division of ANS. He won a Second Prize of National Technological Invention of China in 2019 and was awarded the ICONE Long Service Award in 2021 by ASME. Prof. Cao is well known for his work in the field of reactor physics, including the resonance self-shielding methods, neutron-transport methods, sensitivity and uncertainty analysis, and code verification and validation, etc. He has authored more than 200 journal papers, co-authored two monographs in reactor physics analysis methods.

Prof. Hongchun Wu is one of the most leading professors in reactor physics community in China. He received his PhD in 1994 from XJTU, became a full professor of XJTU in 2001. He is the committee member of Chinese Nuclear Society (CNS) and the Chief Scientist of China’s 863 Project. He also serves as the member of the Subject Consultative Group of the State Council, the academic committee member of the National-level Key Laboratory for Reactor-system Design. Prof. Wu is now leading several key research projects funded by the Minister of Science and Technology of China and Natural Science Foundation of China. Prof. Wu has been focusing on the deterministic transport-calculation methods for several decades, authored more than 100 journal papers, co-authored a book, graduated 30 PhD students and 45 Master students in reactor physics.

Dr. Qian Zhang received his PhD in 2016 from Xi’an Jiaotong University (XJTU), became an associate professor of Harbin Engineering University in 2020 and became a distinguished research fellow in Zhejiang University in 2022. Between 2014 and 2015, he studied at Purdue University as a visiting scholar. He gained the project of Young Talent support from China National Nuclear Corporation in 2021. His research covered resonance self-shielding methodology, method of characteristics, depletion calculation, neutronic of stochastic media and machine learning in reactor physics. He is the leader of a team working on the development of the Advanced Lattice Physics code based on Heterogeneous Architecture (ALPHA). By now, he has published more than 70 journal papers and conference proceedings.

Associate Prof. Qingming He received his PhD in 2017 from XJTU and became an associate professor of XJTU in 2020. Between 2016.09 and 2017.09, he studied at Massachusetts Institute of Technology as a visiting student. He gained the Young Talent Supporting Project of Chinese Association for Science and Technology in 2019. His research cover generation of multi-group cross section library, resonance self-shielding methods and Monte Carlo method. He is the leader of a team working on the development of a hybrid Monte-Carlo-Deterministic particle-transport code NECP-MCX and one of the developers of NECP-Bamboo and NECP-X. By now, he has published more than 20 journal papers about multi-group cross section processing, resonance self-shielding and Monte Carlo methods.

Prof. Tiejun Zu received his PhD in 2013 from XJTU, become an associate professor of XJTU in 2016 and full professor in 2022. His research covers nuclear data processing, generation of accurate multi-group cross sections library, resonance self-shielding calculation, sensitivity and uncertainty analysis and advanced reactor design. Dr. Zu has authored about 30 journal papers, co-authored a book.

From the Back Cover

Resonance Self-Shielding Calculation Methods in Nuclear Reactors presents the latest progress in resonance self-shielding methods for both deterministic and Mote Carlo methods. The authoritative author team combine their wealth of experience to provide the reader with practical guidance on various theoretical models and numerical results which the reader can use to develop their own computational codes and perform their own successful calculations. For each method included, the basic idea is introduced, followed by the numerical methods and a presentation of the algorithm and numerical results, along with relevant calculations. Key topics which have advanced over the last decade which are covered in this resource include high-fidelity resonance treatment, resonance interference effect and multi-group equivalence.

The demand for high-fidelity resonance self-shielding treatment is increasing due to the rapid development of the advanced nuclear reactor concepts and the progression in high performance computational technologies. This practical book guides students and professionals in nuclear engineering and technology through various methods with proven high precision and efficiency, which will equip them with valuable expertise to transfer to their own calculations and models.

Edition details

• Publisher: Woodhead Publishing
• Publication date: 2022
• Language: English
• ISBN 10: 0323858724
• ISBN 13: 9780323858724
• Binding: Paperback
• Edition number: 1
• Number of pages: 410