Open Access
EPJ Web Conf.
Volume 247, 2021
PHYSOR2020 – International Conference on Physics of Reactors: Transition to a Scalable Nuclear Future
Article Number 06008
Number of page(s) 8
Section Advanced Modelling and Simulation
Published online 22 February 2021
  1. Keyes, David E., et al. “Multiphysics simulations: Challenges and opportunities.” The International Journal of High Performance Computing Applications, 27.1 (2013): 4-83. [Google Scholar]
  2. Hamilton, Steven, et al. “An assessment of coupling algorithms for nuclear reactor core physics simulations.” Journal of Computational Physics, 311 (2016): 241-257. [Google Scholar]
  3. Zhang, Han, et al. “The comparison between nonlinear and linear preconditioning JFNK method for transient neutronics/thermal-hydraulics coupling problem.” Annals of Nuclear Energy, 132 (2019): 357-368. [Google Scholar]
  4. Toth, Alexander, et al. “Analysis of Anderson acceleration on a simplified neutronics/thermal hydraulics system.” Joint International Conference on Mathematics and Computation (M&C), Supercomputing in Nuclear Applications (SNA), and the Monte Carlo (MC) Method. 2015. [Google Scholar]
  5. Quarteroni, A., Sacco, R., & Saleri, F., Numerical mathematics (Vol. 37), pp. 285-295, Springer Science & Business Media (2010). [Google Scholar]
  6. Patricot, C., PhD thesis, “Couplages multi-physiques : évaluation des impacts méthodologiques lors de simulations de couplages neutronique/thermique/mécanique”. [Google Scholar]
  7. Le Pallec, J.C. et al., “Neutronics/Fuel Thermomecanics coupling in the Framework of a REA (Rod Ejection Accident) Transient Scenario Calculation.” In Proc. PHYSOR, 2016. [Google Scholar]
  8. A. Ribes and C. Caremoli, “Salomé platform component model for numerical simulation,” COMPSAC 07: Proceeding of the 31st Annual International Computer Software and Applications Conference, pp. 553-564, Washington, DC, USA, 2007, IEEE Computer Society. [Google Scholar]
  9. Schneider, D. et al., “APOLLO3®: CEA/DEN deterministic multi-purpose code for reactor physics analysis.” In Proc. Int. Conf. Physics of Reactors (PHYSOR2016). [Google Scholar]
  10. Santandrea, S., Graziano, L. and Sciannandrone, D., “Accelerated polynomial axial expansions for full 3D neutron transport MOC in the APOLLO3® code system as applied to the ASTRID fast breeder reactor,” Annals of Nuclear Energy, 113, pp. 194-236, (2018). [Google Scholar]
  11. Kavenoky, A., “The SPH homogenization method,” In Proc. Specialists’ Mtg. Homogenization Methods in Reactor Physics, Lugano, Switzerland, Nov. 13e15, 1978. [Google Scholar]
  12. Baudron, A.-M. and Lautard, J.-J., “MINOS : A simplified Pn solver for core calculation.” Nuclear Science and Engineering, 155(2), pp. 250–263 (2007). [Google Scholar]
  13. Cattaneo, P. et al., “Development of a multiphysics Best-Estimate approach for LWR reference calculation,” In Proc. International Congress on Advances in Nuclear Power Plants (ICAPP2019). [Google Scholar]
  14. Lahaye, S., Bellier, P., Mao, H., Tsilanizara, A., Kawamoto, Y., “First verification and validation steps of MENDEL release 1.0 cycle code system”, Proc. Int. Conf. PHYSOR2014, Japan, 2014. [Google Scholar]
  15. Toumi, I. et al., “FLICA4: a three dimensional two-phase flow computer code with advanced numerical methods for nuclear applications,” Nuclear Engineering and Design, 200, pp.139-155. [Google Scholar]
  16. Jones, E., Oliphant, E., Peterson, P., et al., “SciPy: Open Source Scientific Tools for Python,” 2001-, [Online; accessed 2019-10-11]. [Google Scholar]
  17. Anderson, Donald G. “Iterative procedures for nonlinear integral equations,” Journal of the ACM (JACM), 12.4, pp. 547-560 (1965). [Google Scholar]
  18. Eyert, V. “A comparative study on methods for convergence acceleration of iterative vector sequences,” Journal of Computational Physics, 124.2, pp. 271-285 (1996). [Google Scholar]

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