Analysis of Kobayashi benchmark with indigenous Monte Carlo neutron transport code PATMOC

被引:0
|
作者
Mallick, Amod Kishore [1 ,2 ]
Kannan, Umasankari [1 ,2 ]
机构
[1] Bhabha Atom Res Ctr, Reactor Phys Design Div, Mumbai, India
[2] Homi Bhabha Natl Inst, Mumbai, India
关键词
Monte Carlo; Neutron transport; Flux computation; Benchmarking;
D O I
10.1016/j.physo.2023.100179
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The solution of the neutron transport equation is the basic input for the reactor physics design of a nuclear reactor system. Because of the complexities of geometry and cross-section data, the neutron transport equation is generally solved using numerical methods. One of the difficulties in the solution using these methods concerns the accuracy of distribution of neutron flux in the system containing void regions in a highly absorbing medium. The difficulty arises because of the issue in the continuity of flux at the void and material interface. There is a sudden and large change in the flux at this interface. Kobayashi benchmarks are widely used problems for testing the ability and accuracy of reactor physics codes to compute neutron flux distribution on such systems. An indigenous Monte Carlo neutron transport code, named PATMOC, has been designed and developed at Bhabha Atomic Research Centre (BARC) for reactor physics design applications. The Kobayashi benchmarks have been used to test the PATMOC code to verify its accuracy in flux computation for systems with voids in-between high absorbing materials. Our results show that the PATMOC estimated values of flux distribution in the system compare very well with the reference results provided with the benchmark. In this paper we present the detailed results and analyses of this benchmark with PATMOC code.
引用
收藏
页数:4
相关论文
共 50 条
  • [1] On a comparison of a neutron Monte Carlo transport simulation to a benchmark
    Barcellos, Luiz F. F. Chaves
    Bodmann, Bardo E. J.
    Vilhena, Marco T. M. B.
    PROGRESS IN NUCLEAR ENERGY, 2021, 134
  • [2] 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
  • [3] TRIPOLI-3: A neutron/photon Monte Carlo transport code
    Nimal, JC
    Vergnaud, T
    ADVANCED MONTE CARLO FOR RADIATION PHYSICS, PARTICLE TRANSPORT SIMULATION AND APPLICATIONS, 2001, : 651 - 656
  • [4] MCNP - A GENERAL MONTE-CARLO CODE FOR NEUTRON AND PHOTON TRANSPORT
    FORSTER, RA
    GODFREY, TNK
    LECTURE NOTES IN PHYSICS, 1985, 240 : 33 - 55
  • [5] Development and preliminary verification of a Monte Carlo neutron transport code IMPC-Neutron
    Fang, Peng
    Wu, Xiang
    Yang, Yongwei
    Wang, Huiqiao
    Yang, Lei
    Guo, Yuyao
    Lai, Hanghui
    ANNALS OF NUCLEAR ENERGY, 2022, 175
  • [6] Monte Carlo code for neutron radiography
    Milczarek, JJ
    Trzcinski, A
    El Abd, A
    Czachor, A
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2005, 542 (1-3): : 237 - 240
  • [7] VECTORIZATION AND MULTITASKING WITH A MONTE-CARLO CODE FOR NEUTRON-TRANSPORT PROBLEMS
    CHAUVET, Y
    LECTURE NOTES IN PHYSICS, 1985, 240 : 234 - 244
  • [8] Multi-core performance studies of a Monte Carlo neutron transport code
    Siegel, Andrew R.
    Smith, Kord
    Romano, Paul K.
    Forget, Benoit
    Felker, Kyle G.
    INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS, 2014, 28 (01): : 87 - 96
  • [9] Study on MPI/OpenMP hybrid parallelism for Monte Carlo neutron transport code
    Liang, Jin-Gang
    Liu, Shi-Wen
    Xu, Qi
    Wang, Kan
    Yuanzineng Kexue Jishu/Atomic Energy Science and Technology, 2013, 47 (SUPPL.): : 654 - 659
  • [10] 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):