Open Access
Issue
EPJ Web Conf.
Volume 247, 2021
PHYSOR2020 – International Conference on Physics of Reactors: Transition to a Scalable Nuclear Future
Article Number 03014
Number of page(s) 9
Section Deterministic Transport
DOI https://doi.org/10.1051/epjconf/202124703014
Published online 22 February 2021
  1. J.R. Askew, 1972. A characteristics formulation of the neutron transport equation in complicated geometries (No. AEEW-M--1108). United Kingdom Atomic Energy Authority. [Google Scholar]
  2. R.J. Stamm’ler and M.J. Abbate, 1983. Methods of steady-state reactor physics in nuclear design (Vol. 111). London: Academic Press. [Google Scholar]
  3. P.H. Kier and A.A. Robba, 1967. RABBLE: A PROGRAM FOR COMPUTATION OF RESONANCE ABSORPTION IN MULTIREGION REACTOR CELLS (No. ANL-7326). Argonne National Lab., Ill. [Google Scholar]
  4. Y. Liu, W. Martin, M. Williams and K.S. Kim, 2015. A full-core resonance self-shielding method using a continuous-energy quasi–one-dimensional slowing-down solution that accounts for temperature-dependent fuel subregions and resonance interference. Nuclear Science and Engineering, 180(3), pp.247–272. [Google Scholar]
  5. S. Choi, A. Khassenov and D. Lee, 2016. Resonance self-shielding method using resonance interference factor library for practical lattice physics computations of LWRs. Journal of Nuclear Science and Technology, 53(8), pp.1142–1154. [Google Scholar]
  6. Q. Zhang, Q. Zhao, Z. Zhang, L. Liang, W. S. Yang, H. Wu and L. Cao, 2018. Improvements of the Embedded Self-Shielding Method with Pseudo-Resonant Isotope Model on the Multifuel Lattice System. Nuclear Science and Engineering, 192(3), pp.311–327. [Google Scholar]
  7. S.G. Hong and K.S. Kim, 2011. Iterative resonance self-shielding methods using resonance integral table in heterogeneous transport lattice calculations. Annals of Nuclear Energy, 38(1), pp.32–43. [Google Scholar]
  8. N. Sugimura and A. Yamamoto, 2006. Evaluation of Dancoff factors in complicated geometry using the method of characteristics. Journal of nuclear science and technology, 43(10), pp.1182–1187. [Google Scholar]
  9. Q. Zhang, Q. Zhao, W.S. Yang and H. Wu, 2018. Modeling of Resonance-Interference Effect in Depleted Fuel Compositions by Pseudo Resonant Isotopes. Nuclear Science and Engineering, 191(1), pp.46–65. [Google Scholar]
  10. I.D. Palmer, K.W. Hesketh and P.A. Jackson, 1982, March. A Model for Predicting the Radial Power in a Fuel Pin. In IAEA Specialist Meeting on Fuel Element Performance Computer Modeling (pp. 15–19). [Google Scholar]
  11. Z. Xu, J. Rhodes and K. Smith, 2009, May. CASMO-5 versus MCNP-5 benchmark of radial power profile in a fuel pin. In International Conference on Mathematics, Computational Methods & Reactor Physics (M&C). Saratoga Springs, NY, USA. [Google Scholar]
  12. D.W. Marquardt, 1963. An algorithm for least-squares estimation of nonlinear parameters. Journal of the society for Industrial and Applied Mathematics, 11(2), pp.431–441. [Google Scholar]
  13. A. Yamamoto, T. Ikehara, T. Ito and E. Saji, 2002. Benchmark problem suite for reactor physics study of LWR next generation fuels. Journal of Nuclear Science and Technology, 39(8), pp.900–912. [Google Scholar]
  14. X-5 Monte Carlo Team, 2003. MCNP—A General N-Particle Transport Code, Version 5—Volume I: Overview and Theory. LA-UR-03-1987, Los Alamos National Laboratory. [Google Scholar]
  15. R.J. Stamm’ler, 2003. HELIOS Methods. Studsvik Scandpower. [Google Scholar]
  16. E.E. Lewis, M.A. Smith, N. Tsoulfanidis, G. Palmiotti, T.A. Taiwo and R.N. Blomquist, 2001. Benchmark specification for Deterministic 2-D/3-D MOX fuel assembly transport calculations without spatial homogenization (C5G7 MOX). NEA/NSC, 280. [Google Scholar]
  17. S. Cathalau, J.C. Lefebvre and J.P. West, 1996. Proposal for a second stage of the Benchmark on Power Distributions within Assemblies, an earlier version of the published OECD/NEA benchmark. NEA/NSC/DOC (96) 2, Nuclear Energy Agency. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.