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The primary motivation for developing stochastic methods for analysing
isotopic inventories is the complex flows of materials being proposed
in a variety of nuclear systems and fuel cycles. In some cases,
material will be subject to arbitrary flow paths, in and out of
neutron fields of various strengths. In other cases, some fraction of
a fluid fissile fuel will be diverted to be clensed of fission
products. On a larger scale, material from one reactor system may be
separated with different components and materials flowing to different
reactor systems as part of symbiotic cycles. Most or all of these
systems may benefit from the development of inventory analysis using
stochastic methods.
PublicationsPaul P.H. Wilson and Phiphat Phruksarojanakun, "Analog Monte Carlo Methods for Simulating Isotopic Inventories in Complex Systems," Nuclear Science and Engineering, Accepted for publication in March 2006Phiphat Phruksarojanakun and Paul P.H. Wilson, "Figures of Merit in Monte Carlo Isotopic Inventory Methods," Monte Carlo 2005, Chattanooga, TN, April 17-21, 2005 Phiphat Phruksarojanakun and Paul P.H. Wilson, "Efficiency of Variance Reduction Schemes for Monte Carlo Isotopic Inventory Analysis," Transactions of the American Nuclear Society, 93, (2005) Phiphat Phruksarojanakun and Paul P.H. Wilson, "Biased Reaction Branching Variance Reduction for Monte Carlo Isotopic Inventory Methods," Transactions of the American Nuclear Society, 93, (2005) P. Phruksarojanakun and P.P.H. Wilson, "Forced Reaction Variance Reduction for Monte Carlo Isotopic Inventory Methods." Transactions of the American Nuclear Society, 90, (2004) P. Phruksarojanakun and P.P.H. Wilson, "Monte Carlo Methods for Modeling Isotopic Inventories." Transactions of the American Nuclear Society, 89, 496 (2003) Presentations |
People• Phiphat Phruksarojanakun
UW Collaborations• Fusion Technology Inst.Related Projects• Z-pinch transmutation of actindes• FEIND • ITER Neutronics Services • Fusion Reactor Design: ARIES, HAPL, FTF |