Addressing challenges in nuclear data adjustment techniques using integral experiments based upon uranium solution thermal systems

2021 ◽  
Vol 163 ◽  
pp. 108590
Author(s):  
Sandro Pelloni ◽  
Dimitri Rochman
Keyword(s):  
Nuclear Data ◽  
Thermal Systems ◽  
Uranium Solution ◽  
Data Adjustment

Uncertainty Assessment for Fast Reactors Based on Nuclear Data Adjustment

2014 ◽  
Vol 118 ◽  
pp. 592-595 ◽  
Author(s):  
T. Ivanova ◽  
E. Ivanov ◽  
F. Ecrabet
Keyword(s):  
Nuclear Data ◽  
Uncertainty Assessment ◽  
Fast Reactors ◽  
Data Adjustment

Nuclear-data adjustment based on the continue-energy cross-section library for the fast reactor

2020 ◽  
Vol 143 ◽  
pp. 107453
Author(s):  
Chenghui Wan ◽  
Yihan Huang ◽  
Youqi Zheng ◽  
Liangzhi Cao ◽  
Hongchun Wu
Keyword(s):  
Cross Section ◽  
Fast Reactor ◽  
Nuclear Data ◽  
Data Adjustment

scholarly journals New approaches to provide feedback from nuclear and covariance data adjustment for effective improvement of evaluated nuclear data files

2017 ◽  
Vol 146 ◽  
pp. 06003 ◽  
Author(s):  
Giuseppe Palmiotti ◽  
Massimo Salvatores ◽  
Mathieu Hursin ◽  
Ivo Kodeli ◽  
Fabrizio Gabrielli ◽  
...  
Keyword(s):  
Nuclear Data ◽  
New Approaches ◽  
Data Files ◽  
Evaluated Nuclear Data ◽  
Data Adjustment

scholarly journals Method and approaches to provide feedback from nuclear and covariance data adjustment for improvement of nuclear data files: Major findings of the NEA WPEC Subgroup 39

2020 ◽  
Vol 239 ◽  
pp. 13001
Author(s):  
Massimo Salvatores ◽  
Giuseppe Palmiotti
Keyword(s):  
Design Optimization ◽  
Crucial Role ◽  
Fuel Cycle ◽  
Nuclear Data ◽  
Wide Range ◽  
Data Assessment ◽  
Data Files ◽  
Data Adjustment

Nuclear data adjustments using integral experiments play since several decades a crucial role in providing reactor designers and fuel cycle analysts with nuclear data with reduced and validated uncertainties in order to allow design optimization while meeting safety and economics requirements. Adjustment methods, choice of integral experiments and covariance data assessment should be carefully defined in order to produce credible and physically acceptable adjustments, applicable to a wide range of systems. The OECD-NEA has established a series of Expert Groups since 2005 to investigate the key scientific issues and to provide recommendations for applications. The present paper discusses the major results of the most recent of these Expert Groups together with an indication of the path forward .

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