Abstract
Consumption of computing resource in neutron transport solving has been gradually emphasized, especially for large-scale engineering calculation. To simulate the neutron transport processes efficiently, based on theory of proper orthogonal decomposition (POD), a novel reduced-order model called reduced-order with least square-finite difference method (RO-LSFDM) is proposed in this work, which is constructed by combining with the finite difference method (FDM) and least square method (LSM). Compared with the widely used reduced basis-finite element method, the proposed RO-LSFDM is much easier to execute and computing resource saving. Results of some typical benchmark problems prove that the RO-LSFDM can obtain accurate neutron distribution with high efficiency in mono-group, multi-group, source-driven and eigenvalue problems. Compared with classical discrete-ordinate method, the proposed method can reach thousands of times speedup ratio. This work can provide a new perspectives and directions on the research of improving the efficiency of numerical calculations in nuclear reactor engineering.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
