Monte Carlo simulation for calculation of kinetic parameters in an Accelerator Driven Subcritical TRIGA reactor

被引:3
|
作者
Hassanzadeh, M. [1 ]
Feghhi, S. A. H. [2 ]
机构
[1] Nucl Sci & Technol Res Inst, Tehran, Iran
[2] Shahid Beheshti Univ, GC, Dept Radiat Applicat, Tehran, Iran
关键词
Kinetic parameters; Noise methods; Slope fit method; MCNPX code; TRIGA reactor; NEUTRON GENERATION TIME; MCNIC METHOD;
D O I
10.1016/j.anucene.2015.03.022
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
In this study, noise analysis techniques including Feynman-alpha (variance-to-mean) and Rossi-alpha (correlation) and dynamic method such as slope fit method have been used to calculate effective delayed neutron fraction (beta(eff)) and neutron reproduction time (Lambda) in Accelerator Driven Subcritical TRIGA reactor. The obtained results have been compared with MCNPX code results. The relative difference between MCNPX code with Feynman-alpha and Rossi-alpha techniques and slope fit method for beta(eff) are approximately -5.4%, 1.2%, and -10.6%, -14.8%, respectively, and also for A is approximately 2.1%. According to results, the noise methods can been considered ideal for detection with high efficiency and zero dead time and in the slope fit method, the decay of the delayed neutrons has been neglected and only the prompt neutrons have been taken into account. In addition, quantities simulated in the current study are validated against both the reference data and the results of MCNPX code. Therefore, the purpose of this study is to simulate the commonly used experimental methods by MCNPX code and investigate the convergence as well as accuracy of the computational results for different analysis methods in calculation of the kinetic parameters in an Accelerator Driven Subcritical TRIGA reactor. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:322 / 327
页数:6
相关论文
共 50 条
  • [21] The Influence Mechanism of Neutron Kinetics of the Accelerator-Driven Subcritical Reactor Based on the Fast/Thermal Neutron Spectra by Monte Carlo Homogenization Method
    Deng, Nianbiao
    Xie, Chao
    Hou, Cheng
    Li, Zhulun
    Xie, Jinsen
    Yu, Tao
    ENERGIES, 2023, 16 (08)
  • [22] Reactor physics analysis of a Source-driven TRIGA configuration in subcritical domain
    Gatchalian, Ronald Daryll E.
    Tsvetkov, Pavel V.
    ANNALS OF NUCLEAR ENERGY, 2023, 186
  • [23] Determining optimization of the initial parameters in Monte Carlo simulation for linear accelerator radiotherapy
    Chang, Kwo-Ping
    Wang, Zhi-Wei
    Shiau, An-Cheng
    RADIATION PHYSICS AND CHEMISTRY, 2014, 95 : 161 - 165
  • [24] Monte Carlo simulation of the TRIGA Mark II benchmark experiment
    Jeraj, R
    Glumac, B
    Maucec, M
    NUCLEAR TECHNOLOGY, 1997, 120 (03) : 179 - 187
  • [25] Monte Carlo simulation of core physics parameters of the Syrian MNSR reactor
    Khattab, K.
    Sulieman, I.
    ANNALS OF NUCLEAR ENERGY, 2011, 38 (05) : 1211 - 1213
  • [26] Benchmarking of electron beam parameters based on Monte Carlo linear accelerator simulation
    Zhang, Fan
    Zhou, Mi
    Liu, Jing
    Yue, Lu
    Deng, Lihua
    Xu, Zhijian
    Wang, Gang
    TRANSLATIONAL CANCER RESEARCH, 2020, 9 (02) : 577 - 584
  • [27] Calculation of Reactor Kinetics Parameters βeff and Λ with Monte Carlo Differential Operator Sampling
    Nagaya, Yasunobu
    SNA + MC 2013 - JOINT INTERNATIONAL CONFERENCE ON SUPERCOMPUTING IN NUCLEAR APPLICATIONS + MONTE CARLO, 2014,
  • [28] Modeling and control strategy of the China accelerator driven subcritical reactor
    Yan, Shoujun
    Fang, Huawei
    Wang, Pengfei
    Sun, Changyi
    Zhao, Fuyu
    Huang, Hao
    Wu, Yuzhong
    PROGRESS IN NUCLEAR ENERGY, 2014, 71 : 179 - 187
  • [29] Experimental assessment of the kinetic parameters of the JS']JSI TRIGA reactor
    Filliatre, P.
    Jammes, C.
    Barbot, L.
    Fourmentel, D.
    Geslot, B.
    Lengar, I.
    Jazbec, A.
    Snoj, L.
    Zerovnik, G.
    ANNALS OF NUCLEAR ENERGY, 2015, 83 : 236 - 245
  • [30] Estimation of kinetic parameters for chemical reactions based on Monte Carlo simulation
    Zhan, XL
    Luo, ZH
    Chen, FQ
    Yang, YR
    CHEMICAL JOURNAL OF CHINESE UNIVERSITIES-CHINESE, 2003, 24 (08): : 1511 - 1514