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- W2715667041 abstract "Slow source convergence of Monte Carlo criticality calculation is a significant problem. Several acceleration techniques have been proposed, whereas Wielandt's method is an efficient method. However a bad estimated eigenvalue (k_e)which is selected often according experience makes the calculation time consuming. In this study, automatic optimized Wielandt's acceleration method has been developed to get optimized estimated eigenvalue based on dominance ratio (DR) for improving the efficiency of source convergence and implemented in Super Monte Carlo Simulation Program for Nuclear and Radiation Process (SuperMC). Numerical calculated results of 5x5x5 array of metal spheres and Hoogenboom benchmark showed that automatic optimized Wielandt's acceleration method can enhance the convergence efficiency." @default.
- W2715667041 created "2017-06-30" @default.
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- W2715667041 date "2015-01-01" @default.
- W2715667041 modified "2023-10-18" @default.
- W2715667041 title "ICONE23-1814 AUTOMATIC OPTIMIZED WIELANDT'S ACCELERATION METHOD OF SOURCE CONVERGENCE FOR MONTE CARLO CRITICALITY CALCULATION" @default.
- W2715667041 doi "https://doi.org/10.1299/jsmeicone.2015.23._icone23-1_388" @default.
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