A Method for Large-Scale Parallel Simulation of Reactor Structural Mechanics

被引:0
作者
Xing, Longyue [1 ]
Wang, Zhaoshun [1 ]
Cen, Xin [1 ]
Jiang, Zhangcheng [1 ]
Li, Yang [1 ]
机构
[1] Univ Sci & Technol Beijing, Sch Comp & Commun Engn, Beijing 100083, Peoples R China
关键词
Inductors; Mathematical model; Computational modeling; Load modeling; Finite element analysis; Sparse matrices; Solid modeling; HPC; computer simulation; structural mechanics simulation; virtual reactor; ZOLTAN;
D O I
10.1109/ACCESS.2020.3037398
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The structural mechanics simulation in reactor is an extremely complicated problem, which includes statics, fluid-induced vibration and wear. Because the entire structural mechanics simulation require dividing into 10 billion mesh elements, and then a large number of equations are generated to solve, the demand for high performance computing is urgent. Therefore, we conduct researches on E-class supercomputers, including reactor core geometric modeling, tens of billions of meshing, addition of physical parameters, regional decomposition, and solution of ultra-large sparse matrix equations. Furthermore, we propose a parallel workflow design, function design and architecture design scheme for large-scale parallel simulation of Generation IV reactors structural mechanics based on E-class supercomputer. By combining and optimizing of existing meshing tools and matrix equation solving methods, and finally verified its feasibility and correctness through calculation examples. In addition, the efficiency of the large-scale parallelism has also been significantly improved.
引用
收藏
页码:207352 / 207366
页数:15
相关论文
共 50 条
[21]   Re-running Large-scale Parallel Programs Using Two Nodes [J].
Guo, Yayu ;
Lin, Fang ;
Liu, Yi ;
Qian, Depei .
2018 IEEE INT CONF ON PARALLEL & DISTRIBUTED PROCESSING WITH APPLICATIONS, UBIQUITOUS COMPUTING & COMMUNICATIONS, BIG DATA & CLOUD COMPUTING, SOCIAL COMPUTING & NETWORKING, SUSTAINABLE COMPUTING & COMMUNICATIONS, 2018, :485-492
[22]   A Flexible Strategy for Distributed and Parallel Execution of a Monolithic Large-Scale Sequential Application [J].
Navarro, Felipe ;
Gonzalez, Carlos ;
Peredo, Oscar ;
Morales, Gerson ;
Egana, Alvaro ;
Ortiz, Julian M. .
HIGH PERFORMANCE COMPUTING, CARLA 2014, 2014, 485 :54-67
[23]   An Efficient Method for Computing Exact Delay-Margins of Large-Scale Power Systems [J].
Li, Chongtao ;
Duan, Chao ;
Cao, Yulei .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2020, 35 (06) :4924-4927
[24]   SIMULATION MODEL FOR ASSESSMENT OF LARGE-SCALE POWER SYSTEM RELIABILITY. [J].
Blackstone Jr., John H. ;
Hogg, Gary L. ;
Patton, Alton D. .
Winter Simulation Conference Proceedings, 1980, :241-252
[25]   Learning to Place Unseen Objects Stably Using a Large-Scale Simulation [J].
Noh, Sangjun ;
Kang, Raeyoung ;
Kim, Taewon ;
Back, Seunghyeok ;
Bak, Seongho ;
Lee, Kyoobin .
IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 9 (03) :3005-3012
[26]   Structural Analysis and Improvement of Large-scale Forklift's Wheel Rim [J].
Wang, Huqi ;
He, Haizhao ;
Lu, Haiyan ;
Huang, Rongxing .
ADVANCES IN MANUFACTURING SCIENCE AND ENGINEERING, PTS 1-4, 2013, 712-715 :1080-1083
[27]   The Method of Building Large-scale Flexible Coordinate Measurement Networks [J].
Zhao Da ;
Yu Xiaofen ;
Zhang Hongying ;
Yang Enzhen .
2016 INTERNATIONAL CONFERENCE ON MATERIAL, ENERGY AND ENVIRONMENT ENGINEERING (ICM3E 2016), 2016, :473-479
[28]   A framework specialized for large-scale vehicle-bridge interaction simulation [J].
Han, Zhuoran ;
Kim, Chul-Woo ;
Chang, Kai-Chun .
COMPUTERS & STRUCTURES, 2024, 301
[29]   LARGE-SCALE SIMULATION OF OIL RECOVERY BY SURFACTANT-POLYMER FLOODING [J].
Akhmed-Zaki, D. Zh ;
Imankulov, T. S. ;
Matkerim, B. ;
Daribayev, B. S. ;
Aidarov, K. A. ;
Turar, O. N. .
EURASIAN JOURNAL OF MATHEMATICAL AND COMPUTER APPLICATIONS, 2016, 4 (01) :12-31
[30]   3-D Large-Scale TEM Modeling Using Restarting Polynomial Krylov Method [J].
Zhou, Jianmei ;
Lu, Kailiang ;
Li, Xiu ;
Liu, Wentao ;
Qi, Zhipeng ;
Qi, Yanfu .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60