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…mehr
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.
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.
Inhaltsangabe
1. Introduction 2. Resonance Cross Section Processing 3. Equivalence Theory 4. Subgroup Method 5. Ultra-Fine Group and Point-Wise Method 6. Wavelet Expansion Method 7. Resonance Treatment in Monte Carlo Method 8. High-Fidelity Resonance Self-Shielding Calculation 9. Resonance Treatment for Double Heterogeneity
