Monte Carlo Methods for the Neutron Transport Equation

被引:1
|
作者
Cox, Alexander M. G. [1 ]
Harris, Simon C. [2 ]
Kyprianou, Andreas E. [1 ]
Wang, Minmin [3 ]
机构
[1] Univ Bath, Dept Math Sci, Bath BA2 7AY, England
[2] Univ Auckland, Dept Stat, Auckland 1142, New Zealand
[3] Univ Sussex, Sch Math & Phys Sci, Brighton BN1 9RH, England
来源
基金
英国工程与自然科学研究理事会;
关键词
neutron transport equation; principal eigenvalue; semigroup theory; Perron-Frobenius decomposi-tion; Monte Carlo simulation; complexity; Doob h-transform; twisted Monte Carlo; STOCHASTIC-APPROXIMATION; SPACES;
D O I
10.1137/21M1390578
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
This paper continues our treatment of the neutron transport equation (NTE), building on the work in [A. M. G. Cox et al., J. Stat. Phys., 176 (2019), pp. 425-455; E. Horton, A. E. Kyprianou, and D. Villemonais, Ann Appl. Probab., 30 (2020), pp. 2573-2612; and S. C. Harris, E. Horton, and A. E. Kyprianou, Ann. Appl. Probab., 30 (2020), pp. 2815-2845], which describes the density (equivalently, flux) of neutrons through inhomogeneous fissile media. Our aim is to analyze existing and novel Monte Carlo (MC) algorithms, aimed at simulating the lead eigenvalue associated with the underlying model. This quantity is of principal importance in the nuclear regulatory industry, for which the NTE must be solved on complicated inhomogeneous domains corresponding to nuclear reactor cores, irradiative hospital equipment, food irradiation equipment, and so on. We include a complexity analysis of such MC algorithms, noting that no such undertaking has previously appeared in the literature. The new MC algorithms offer a variety of advantages and disadvantages of accuracy versus cost, as well as the possibility of more convenient computational parallelization.
引用
收藏
页码:775 / 825
页数:51
相关论文
共 50 条
  • [21] GPU-based Monte Carlo simulation in neutron transport and finite differences heat equation evaluation
    Heimlich, A.
    Mol, A. C. A.
    Pereira, C. M. N. A.
    PROGRESS IN NUCLEAR ENERGY, 2011, 53 (02) : 229 - 239
  • [22] Time relaxed Monte Carlo methods for the Boltzmann equation
    Pareschi, L
    Russo, G
    SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2001, 23 (04): : 1252 - 1272
  • [23] Asymptotic preserving Monte Carlo methods for the Boltzmann equation
    Pareschi, L
    Russo, G
    TRANSPORT THEORY AND STATISTICAL PHYSICS, 2000, 29 (3-5): : 415 - 430
  • [24] Time relaxed Monte Carlo methods for the Boltzmann equation
    Pareschi, Lorenzo
    Russo, Giovanni
    SIAM Journal on Scientific Computing, 2002, 23 (04): : 1253 - 1273
  • [25] MONTE-CARLO CALCULATIONS OF NEUTRON-PHOTON TRANSPORT
    SHANNON, DP
    MAYS, AB
    PODGOR, S
    HERLING, GH
    REPORT OF NRL PROGRESS, 1974, (DEC): : 39 - 40
  • [26] Importance estimation in Monte Carlo modelling of neutron and photon transport
    Mickael, M.W.
    Nuclear Geophysics, 1992, 6 (03):
  • [27] COUPLED SAMPLING WITH MONTE CARLO METHOD IN NEUTRON TRANSPORT CALCULATIONS
    CARTER, LL
    MCCORMICK, NJ
    NUCLEAR SCIENCE AND ENGINEERING, 1970, 39 (03) : 296 - +
  • [28] Present status of Monte Carlo simulation for neutron and photon transport
    Ueki, K
    Mori, T
    Sakurai, K
    Nakagawa, M
    Naito, Y
    JOURNAL OF THE ATOMIC ENERGY SOCIETY OF JAPAN, 1999, 41 (06): : 614 - 627
  • [29] Monte Carlo Calculations of Fast Neutron Transport in Chloride Salts
    Stastny, Ondrej
    Kral, Dusan
    Stevanka, Kamil
    Katovsky, Karel
    Krasa, Antonin
    2020 21ST INTERNATIONAL SCIENTIFIC CONFERENCE ON ELECTRIC POWER ENGINEERING (EPE), 2020, : 344 - 349
  • [30] Insights into stratified splitting techniques for Monte Carlo neutron transport
    Booth, TE
    NUCLEAR SCIENCE AND ENGINEERING, 2005, 151 (02) : 224 - 236