Browse > Article
http://dx.doi.org/10.1016/j.net.2020.07.018

Implementation of functional expansion tally method and order selection strategy in Monte Carlo code RMC  

Wang, Zhenyu (School of Nuclear Science and Engineering, North China Electric Power University)
Liu, Shichang (School of Nuclear Science and Engineering, North China Electric Power University)
She, Ding (Institute of Nuclear and New Energy Technology, Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education, Tsinghua University)
Su, Yang (Key Laboratory of Nuclear Data, China Institute of Atomic Energy)
Chen, Yixue (School of Nuclear Science and Engineering, North China Electric Power University)
Publication Information
Nuclear Engineering and Technology / v.53, no.2, 2021 , pp. 430-438 More about this Journal
Abstract
The spatial distribution of neutron flux or reaction rate was calculated by cell or mesh tally in traditional Monte Carlo simulation. However, either cell or mesh tally leads to the increase of memory consumption and simulation time. In this paper, the function expansion tally (FET) method was developed in Reactor Monte Carlo code RMC to solve this problem. The FET method was applied to the tallies of neutron flux distributions of uranium block and PWR fuel rod models. Legendre polynomials were used in the axial direction, while Zernike polynomials were used in the radial direction. The results of flux, calculation time and memory consumption of different expansion orders were investigated, and compared with the mesh tally. Results showed that the continuous distribution of flux can be obtained by FET method. The flux distributions were consistent with that of mesh tally, while the memory consumption and simulation time can be effectively reduced. Finally, the convergence analysis of coefficients of polynomials were performed, and the selection strategy of FET order was proposed based on the statistics uncertainty of the coefficients. The proposed method can help to determine the order of FET, which was meaningful for the efficiency and accuracy of FET method.
Keywords
Monte Carlo; Function expansion tally; Order selection strategy; RMC;
Citations & Related Records
연도 인용수 순위
  • Reference
1 L. Pan, H. Shen, B. Zhong, Angle spectral calculation of surface flux by functional expansion tally in Monte Carlo simulation, Atomic Energy Sci. Technol. 48 (suppl) (2014) 128-130.
2 B. Ebiwonjumi, H. Lee, P. Zhang, D. Lee, Functional expansion tallies in Monte Carlo high fidelity LWR analysis, in: Proceeding of the Reactor Physics Asia 2019 (RPHA19) Conference, Osaka, Japan, Dec, 2-3, 2019.
3 W.L. Chadsey, C.W. Wilson, V.W. Pine, X-ray photoemission calculations, IEEE Trans. Nucl. Sci. 22 (6) (Dec. 1975) 2345-2350, https://doi.org/10.1109/TNS.1975.4328131.   DOI
4 M. Ellis, D. Gaston, B. Forget, K. Smith, Preliminary coupling of the Monte Carlo code OpenMC and the multiphysics object-oriented simulation environment for analyzing Doppler feedback in Monte Carlo simulations, Nucl. Sci. Eng. 185 (1) (2017) 184-193.   DOI
5 K. Wang, et al., Rmc - a Monte Carlo code for reactor core analysis, Ann. Nucl. Energy 82 (2015) 121-129.   DOI
6 A. Novak, P. Romano, B. Wendt, et al., Preliminary coupling of OpenMC and Nek5000 within the MOOSE framework, in: Proceedings of PHYSOR, 2018.
7 J. Yu, H. Lee, M. Lemaire, H. Kim, P. Zhang, D. Lee, MCS based neutronics/thermal-hydraulics/fuel-performance coupling with CTF and FRAPCON, Comput. Phys. Commun. 238 (2019) 1-18.   DOI
8 H. Lee, Development of a New Monte Carlo Code for Large-Scale Power Reactors Analysis, PhD thesis, Ulsan National Institute of Science and Technology, Ulsan, 2019.
9 P.K. Romano, B. Forget, The OpenMC Monte Carlo particle transport code, Ann. Nucl. Energy 51 (2013) 274-281.   DOI
10 L. Kerby, A. Tumulak, J. Leppanen, V. Valtavirta, Preliminary serpent-MOOSE coupling and implementation of functional expansion tallies in serpent, in: International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M&C, 2017, 2017.
11 B. Wendt, L. Kerby, A. Tumulak, et al., Advancement of functional expansion capabilities: implementation and optimization in Serpent 2, Nucl. Eng. Des. 334 (2018) 138-153.   DOI
12 D.P. Griesheimer, W.R. Martin, J.P. Holloway, Convergence properties of Monte Carlo functional expansion tallies, J. Comput. Phys. 211 (1) (2006) 129-153.   DOI
13 S. Liu, Y. Yuan, J. Yu, K. Wang, Development of on-the-fly temperature-dependent cross-sections treatment in RMC code, Ann. Nucl. Energy 94 (2016) 144-149.   DOI
14 D.P. Griesheimer, W.R. Martin, Two dimensional functional expansion tallies for Monte Carlo simulations, Arbor 1001 (2004) 48109.