Application of material-mesh algebraic collapsing acceleration technique in method of characteristics-based neutron transport code

• 作者: Ming Dai Mao-Song Cheng
• 来源期刊: 核技术（英文版）
• 年，卷（期）: 2021,（8）
• 所属期刊栏目: NUCLEAR ENERGY SCIENCE AND ENGINEERING
• 页码范围: 95-109
• 页数: 15页
• 语种: 英文

摘要

The algebraic collapsing acceleration(ACA)technique maximizes the use of geometric flexibility of the method of characteristics(MOC).The spatial grids for low-order ACA are the same as the high-order transport,which makes the numerical solution of ACA equations costly,especially for large-size problems.To speed-up the MOC transport iterations effectively for general geometry,a coarse-mesh ACA method that involves selectively merg-ing fine-mesh cells with identical materials,called mate-rial-mesh ACA(MMACA),is presented.The energy group batching(EGB)strategy in the tracing process is proposed to increase the parallel efficiency for microscopic cross-section problems.Microscopic and macroscopic cross-section benchmark problems are used to validate and analyse the accuracy and efficiency of the MMACA method.The maximum errors in the multiplication factor and pin power distributions are from the VERA-4B-2D case with silver-indium-cadmium(AIC)control rods inserted and are 104 pcm and 1.97％,respectively.Com-pared with the single-thread ACA solution,the maximum speed-up ratio reached 25 on 12 CPU cores for microscopic cross-section VERA-4-2D problem.For the C5G7-2D and LRA-2D benchmarks,the MMACA method can reduce the computation time by approximately one half.The present work proposes the MMACA method and demonstrates its ability to effectively accelerate MOC transport iterations.