ITER Neutronics Modeling Using Hybrid Monte Carlo/Deterministic and CAD-Based Monte Carlo Methods

References

• J. C. WAGNER and A. HAGHIGHAT, “Automatic Variance Reduction of Monte Carlo Shielding Calculations Using the Discrete Ordinates Adjoint Function,” Nucl. Sci. Eng., 128, 186 (1998).
   Web of Science ®Google Scholar
• J. C. WAGNER, E. D. BLAKEMAN, and D. E. PEPLOW, “ForwardWeighted CADIS Method for Variance Reduction of Monte Carlo Calculations of Distributions and Multiple Localized Quantities,” Proc. Int. Conf. Advances in Mathematics, Computational Methods, and Reactor Physics, Saratoga Springs, New York, May 3–7, 2009, American Nuclear Society (2009).
   Google Scholar
• A. HAGHIGHAT and J. C. WAGNER, “Monte Carlo Variance Reduction with Deterministic Importance Functions,” Prog. Nucl. Energy, 42, 25 (2003).
   Web of Science ®Google Scholar
• E. D. BLAKEMAN, D. E. PEPLOW, and J. C. WAGNER, “PWR Facility Dose Modeling Using MCNP5 and the CADIS/ADVANTG Variance-Reduction Methodology,” ORNL/TM-2007/133, Oak Ridge National Laboratory (Sep. 2007).
   Google Scholar
• D. E. PEPLOW, T. M. EVANS, and J. C. WAGNER, “Simultaneous Optimization of Tallies in Difficult Shielding Problems,” Nucl. Technol., 168, 785 (2009).
   Web of Science ®Google Scholar
• D. E. PEPLOW and L. M. PETRIE, Jr., “Criticality Accident Alarm System Modeling with SCALE,” Proc. Int. Conf. Advances in Mathematics, Computational Methods, and Reactor Physics, Saratoga Springs, New York, May 3–7, 2009, American Nuclear Society (2009).
   Google Scholar
• T. E. BOOTH et al., “MCNP5 1.50 Release Notes,” LAUR-08-2300, Los Alamos National Laboratory (2008).
   Google Scholar
• P. P. H. WILSON et al., “State-of-the-Art 3-D Radiation Transport Methods for Fusion Energy Systems,” Fusion Eng. Des., 83, 824 (2008).
   Web of Science ®Google Scholar
• H. IIDA et al., “Nuclear Analysis Report,” Version 2, ITER IDM G 73 DDD 2 W 0.2 (July 2004).
   Google Scholar
• S. W. MOSHER, T. M. MILLER, T. M. EVANS, and J. C. WAGNER, “Automated Weight-Window Generation for Threat Detection Applications Using ADVANTG,” Proc. Int. Conf. Advances in Mathematics, Computational Methods, and Reactor Physics, Saratoga Springs, New York, May 3–7, 2009, American Nuclear Society (2009).
   Google Scholar
• T. M. EVANS, A. S. STAFFORD, R. N. SLAYBAUGH, and K. T. CLARNO, “Denovo:ANew Three-Dimensional Parallel Discrete Ordinates Code in SCALE,” Nucl. Technol., 171, 171 (2010).
   Web of Science ®Google Scholar
• U. FISCHER et al., “Use of CAD Generated Geometry Data in Monte Carlo Transport Calculations for ITER,” Fusion Sci. Technol., 56, 702 (2009).
   Web of Science ®Google Scholar
• T. J. TAUTGES et al., “Acceleration Techniques for Direct Use of CAD-Based Geometries in Monte Carlo RadiationTransport,” Proc. Int. Conf. Advances in Mathematics, Computational Methods, and Reactor Physics, Saratoga Springs, New York, May 3–7, 2009, American Nuclear Society (2009).
   Google Scholar
• M. E. SAWAN et al., “Application of CAD-Neutronics Coupling to Geometrically Complex Fusion Systems,” Proc. 23rd Symp. Fusion Engineering (SOFE), San Diego, California, May 31–June 5, 2009, IEEE (2009).
   Google Scholar
• M. J. LOUGHLIN et al., “ITER Nuclear Analysis Strategy and Requirements,” Fusion Sci. Technol., 56, 566 (2009).
   Web of Science ®Google Scholar
• K. R. KOCH, R. S. BAKER, and R. E. ALCOUFFE, “Solution of the First-Order Form of the 3-D Discrete Ordinates Equation on a Massively Parallel Processor,” Trans. Am. Nucl. Soc., 65, 198 (1992).
   Google Scholar
• E. POLUNOVSKIY, “SDEF Card for the ITER Standard Neutron Source,” ITER IDM D 2KS8CN (Dec. 2009).
   Google Scholar
• D. L. ALDAMA and A. TRKOV, “FENDL2.1, Update of an Evaluated Nuclear Data Library for Fusion Applications,” INDC (NDS) 467, International Atomic Energy Agency (2004).
   Google Scholar
• Y. WU et al., “Research and Development of the Automatic Modeling System for Monte Carlo Particle Transport Simulation,” Chinese J. Nucl. Sci. Eng., 26, 20 (2006).
   Google Scholar
• S. SATO et al., “Development of a CAD/MCNP Interface Program Prototype for Fusion Reactor Nuclear Analysis,” Fusion Eng. Des., 81, 2767 (2006).
   Web of Science ®Google Scholar
• R. A. FORSTER, S. P. PEDERSON, and T. E. BOOTH, “Two Proposed Convergence Criteria for Monte Carlo Solutions,” Trans. Am. Nucl. Soc., 64, 305 (1991).
   Google Scholar