Toward high-efficiency and detailed Monte Carlo simulation study of the granular flow spallation target

被引:5
|
作者
Cai, Han-Jie [1 ]
Zhang, Zhi-Lei [1 ]
Fu, Fen [1 ]
Li, Jian-Yang [1 ]
Zhang, Xun-Chao [1 ]
Zhang, Ya-Ling [1 ]
Yan, Xue-Song [1 ]
Lin, Ping [1 ]
Xv, Jian-Ya [1 ]
Yang, Lei [1 ]
机构
[1] Chinese Acad Sci, Inst Modern Phys, Lanzhou 730000, Gansu, Peoples R China
来源
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT | 2018年 / 882卷
基金
中国国家自然科学基金;
关键词
ADS granular target; Detailed simulation; Algorithm design; High efficiency; Beam-target Interaction; WASTE TRANSMUTATION; PERFORMANCE; ADS;
D O I
10.1016/j.nima.2017.10.078
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
The dense granular flow spallation target is a new target concept chosen for the Accelerator-Driven Subcritical (ADS) project in China. For the R&D of this kind of target concept, a dedicated Monte Carlo (MC) program named GMT was developed to perform the simulation study of the beam-target interaction. Owing to the complexities of the target geometry, the computational cost of the MC simulation of particle tracks is highly expensive. Thus, improvement of computational efficiency will be essential for the detailed MC simulation studies of the dense granular target. Here we present the special design of the GMT program and its high efficiency performance. In addition, the speedup potential of the GPU-accelerated spallation models is discussed. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:117 / 123
页数:7
相关论文
共 50 条
  • [1] Direct Monte Carlo simulation of dilute granular flow
    Brey, JJ
    Ruiz-Montero, MJ
    COMPUTER PHYSICS COMMUNICATIONS, 1999, 121 : 278 - 283
  • [2] Neutronics analysis of uranium compounds spallation target using Monte Carlo simulation
    Li, Jian-Yang
    Zhang, Ya-Ling
    Zhang, Xun-Chao
    Chen, Liang-Wen
    Yan, Xue-Song
    Cai, Han-Jie
    Fu, Fen
    Yu, Lin
    Lin, Ping
    Gao, Xiao-Fei
    Zhang, Zhi-Lei
    Yang, Lei
    NUCLEAR ENGINEERING AND DESIGN, 2017, 324 : 202 - 208
  • [3] A high-efficiency Monte Carlo receiver for digital communications
    Tian, Z
    2002 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-5, CONFERENCE PROCEEDINGS, 2002, : 1471 - 1475
  • [4] High-efficiency Monte Carlo simulation based on CADIS method for Gamma Density Measurement
    Wang, Xinyang
    Zhang, Qiong
    ANNALS OF NUCLEAR ENERGY, 2023, 185
  • [5] Monte Carlo simulation fused with target distribution modeling via deep reinforcement learning for automatic high-efficiency photon distribution estimation
    JIANHUI MA
    ZUN PIAO
    SHUANG HUANG
    XIAOMAN DUAN
    GENGGENG QIN
    LINGHONG ZHOU
    YUAN XU
    Photonics Research, 2021, 9 (03) : 236 - 247
  • [6] Monte Carlo simulation fused with target distribution modeling via deep reinforcement learning for automatic high-efficiency photon distribution estimation
    JIANHUI MA
    ZUN PIAO
    SHUANG HUANG
    XIAOMAN DUAN
    GENGGENG QIN
    LINGHONG ZHOU
    YUAN XU
    Photonics Research, 2021, (03) : 236 - 247
  • [7] Monte Carlo simulation fused with target distribution modeling via deep reinforcement learning for automatic high-efficiency photon distribution estimation
    Ma, Jianhui
    Piao, Zun
    Huang, Shuang
    Duan, Xiaoman
    Qin, Genggeng
    Zhou, Linghong
    Xu, Yuan
    PHOTONICS RESEARCH, 2021, 9 (03) : B45 - B56
  • [8] Efficiency calibration of an extended-range Ge detector by a detailed Monte Carlo simulation
    Peyres, V.
    Garcia-Torano, E.
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2007, 580 (01): : 296 - 298
  • [9] Cavitation Damage Prediction in Mercury Target for Pulsed Spallation Neutron Source Using Monte Carlo Simulation
    Wakui, Takashi
    Takagishi, Yoichi
    Futakawa, Masatoshi
    MATERIALS, 2023, 16 (17)
  • [10] Direct simulation Monte Carlo study of orifice flow
    Danilatos, GD
    RAREFIED GAS DYNAMICS, 2001, 585 : 924 - 932