1993
DOI: 10.13182/nse93-a24015
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A Combined Cross-Section Adjustment and Bias Factor Method for Accurate Prediction of Fast Breeder Reactor Core Performance Parameters

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Cited by 11 publications
(3 citation statements)
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“…If the area of the density function is large in the negative domain of the limit state equation, it is very important to calibrate the model correctly to obtain good reliability. The inverse of the ω ratio can be used to evaluate the variability of the predicted equations (Bernaards and Sijtsma, 2005; Endo et al, 2016; Takeda and Matsumoto, 1993).…”
Section: Methodsmentioning
confidence: 99%
“…If the area of the density function is large in the negative domain of the limit state equation, it is very important to calibrate the model correctly to obtain good reliability. The inverse of the ω ratio can be used to evaluate the variability of the predicted equations (Bernaards and Sijtsma, 2005; Endo et al, 2016; Takeda and Matsumoto, 1993).…”
Section: Methodsmentioning
confidence: 99%
“…4) In the bias factor method, the bias factor, which is defined as the ratio of measured data to the calculated data, is obtained using the data from a critical experiment. This factor is a multiplier that is applied to the calculated neutronics characteristics of a target system to improve the accuracy.…”
Section: Introductionmentioning
confidence: 99%
“…One of the authors derived the combined method 4) that is a combination of the cross section adjustment method and the bias factor. For this method, the bias factor of the neutronics characteristics of a mock-up core is calculated with the adjusted cross sections.…”
Section: Introductionmentioning
confidence: 99%