A Novel Hybrid Deterministic and Monte Carlo Neutron Transport Formulation and Algorithm (tRAPID) for Accurate and Fast 3-D Reactor Kinetics

被引:5
|
作者
Mascolino, Valerio [1 ]
Haghighat, Alireza [1 ]
机构
[1] Virginia Tech, Northern Virginia Ctr, Nucl Engn Program, 7054 Haycock Rd, Falls Church, VA 22043 USA
关键词
RAPID; multistage response function transport; time dependent; neutron transport; reactor kinetics; PARAMETERS; VALIDATION;
D O I
10.1080/00295639.2023.2197844
中图分类号
TL [原子能技术]; O571 [原子核物理学];
学科分类号
0827 ; 082701 ;
摘要
The available three-dimensional (3-D), time-dependent neutron transport algorithms and codes (deterministic or Monte Carlo) are very computationally intensive and are impractical for the simulation of real-world reactors. Henceforth, commonly approximate forms of the transport equation (e.g., diffusion or SPn) are used with expected loss of accuracy. We have developed a hybrid deterministic and Monte Carlo algorithm that not only preserve a Monte Carlo-level accuracy but can achieve a solution in seconds or minutes. This algorithm has been incorporated into the RAPID code system and tested for a number of benchmark problems. This novel time-dependent algorithm, referred to as tRAPID, utilizes a transient fission matrix methodology and allows for fast and accurate simulation of 3-D time-dependent neutron transport problems. The tRAPID algorithm is used to calculate neutron kinetics parameters (such as l(eff) and Rossi-a) and 3-D time-dependent prompt and delayed fission source distributions for two reference models: the Flattop-Pu critical assembly and the Jozef Stefan Institute TRIGA Mark-II benchmark core. Results are compared to experiments reported in the International Criticality Safety Benchmark Evaluation Project Handbook as well as to a reference Serpent Monte Carlo calculation. The tRAPID results are in excellent agreement with both the experimental data and Serpent predictions, while requiring minimal computing resources.
引用
收藏
页码:592 / 627
页数:36
相关论文
共 50 条
  • [1] Deterministic and monte carlo neutron transport calculations of the dounreay fast breeder reactor
    Ziver, AK
    Shahdatullah, S
    Eaton, MD
    De Oliveira, CRE
    Ackroyd, RT
    Umpleby, AP
    Pain, CC
    Goddard, AJH
    NUCLEAR TECHNOLOGY, 2004, 148 (03) : 223 - 234
  • [2] Hybrid Monte Carlo-deterministic method for 3D neutron transport simulation based on energy region division
    Zhuang, Sixuan
    He, Peng
    Sun, Guangyao
    Hao, Lijuan
    Wu, Yican
    ANNALS OF NUCLEAR ENERGY, 2019, 130 : 271 - 276
  • [3] 3-D Monte-Carlo neutron transport code MCMG-II and benchmark tests
    Laboratory of Computational Physics, Institute of Applied Physics and Computational Mathematics, Beijing 100094, China
    Yuanzineng Kexue Jishu, 2009, SUPPL. 1 (32-36): : 32 - 36
  • [4] Calculating the effective delayed neutron fraction in the Molten Salt Fast Reactor: Analytical, deterministic and Monte Carlo approaches
    Aufiero, Manuele
    Brovchenko, Mariya
    Cammi, Antonio
    Clifford, Ivor
    Geoffroy, Olivier
    Heuer, Daniel
    Laureau, Axel
    Losa, Mario
    Luzzi, Lelio
    Merle-Lucotte, Elsa
    Ricotti, Marco E.
    Rouch, Herve
    ANNALS OF NUCLEAR ENERGY, 2014, 65 : 78 - 90
  • [5] Transmutation Approximations for the Application of Hybrid Monte Carlo/Deterministic Neutron Transport to Shutdown Dose Rate Analysis
    Biondo, Elliott D.
    Wilson, Paul P. H.
    NUCLEAR SCIENCE AND ENGINEERING, 2017, 187 (01) : 27 - 48
  • [6] 3-D multigroup P5 Monte-Carlo neutron transport code MCMG and tests
    Deng, Li
    Hu, Ze-Hua
    Li, Gang
    Li, Shu
    Yuanzineng Kexue Jishu/Atomic Energy Science and Technology, 2011, 45 (08): : 943 - 948
  • [7] 3D Monte Carlo neutron and photon transport code MCMG
    Deng, L. (deng_li@iapcm.ac.cn), 1600, Editorial Office of High Power Laser and Particle Beams, P.O. Box 919-805, Mianyang, 621900, China (25):
  • [8] Research of 3-D hexagonal nodal transport method for fast reactor
    Xu, L., 1600, Atomic Energy Press (47):
  • [9] Computational design and optimization of a neutron imaging beamline using Monte Carlo and deterministic SN radiation transport for the Utah TRIGA reactor
    Hartos, Michael J.
    Wang, Meng-Jen
    Sjoden, Glenn E.
    NUCLEAR ENGINEERING AND DESIGN, 2021, 382
  • [10] Computer simulations of kinetics and texture of recrystallisation by a 3-D Potts Monte Carlo model
    Fjeldberg, E.
    Marthinsen, K.
    RECRYSTALLIZATION AND GRAIN GROWTH III, PTS 1 AND 2, 2007, 558-559 : 1069 - +