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        Overcoming the challenges of Monte Carlo depletion: Application to a material-testing reactor with the MCS code

        Dos, Vutheam,Lee, Hyunsuk,Jo, Yunki,Lemaire, Matthieu,Kim, Wonkyeong,Choi, Sooyoung,Zhang, Peng,Lee, Deokjung Korean Nuclear Society 2020 Nuclear Engineering and Technology Vol.52 No.9

        The theoretical aspects behind the reactor depletion capability of the Monte Carlo code MCS developed at the Ulsan National Institute of Science and Technology (UNIST) and practical results of this depletion feature for a Material-Testing Reactor (MTR) with plate-type fuel are described in this paper. A verification of MCS results is first performed against MCNP6 to confirm the suitability of MCS for the criticality and depletion analysis of the MTR. Then, the dependence of the effective neutron multiplication factor to the number of axial and radial depletion cells adopted in the fuel plates is performed with MCS in order to determine the minimum spatial segmentation of the fuel plates. Monte Carlo depletion results with 37,800 depletion cells are provided by MCS within acceptable calculation time and memory usage. The results show that at least 7 axial meshes per fuel plate are required to reach the same precision as the reference calculation whereas no significant differences are observed when modeling 1 or 10 radial meshes per fuel plate. This study demonstrates that MCS can address the need for Monte Carlo codes capable of providing reference solutions to complex reactor depletion problems with refined meshes for fuel management and research reactor applications.

      • Application of advanced Rossi-alpha technique to reactivity measurements at Kyoto University Critical Assembly

        Kong, Chidong,Choe, Jiwon,Yum, Seongpil,Jang, Jaerim,Lee, Woonghee,Kim, Hanjoo,Kim, Wonkyeong,Nguyen, Khang Hoang Nhat,Nguyen, Tung Dong Cao,Dos, Vutheam,Lee, Deokjung,Shin, Ho Cheol,Yamanaka, Masao,P Elsevier 2018 Annals of nuclear energy Vol.118 No.-

        <P><B>Abstract</B></P> <P>This study presents the first application of the advanced Rossi-alpha method (theoretically introduced by Kong et al., 2014) on the reactivity measurements in a research reactor: detector count signals at the Kyoto University Critical Assembly (KUCA) facility. The detector signals in the KUCA A-type core are analyzed by three subcriticality measurement methods: (1) Feynman-alpha (F-α) method, (2) Rossi-alpha (R-α) method, and (3) advanced Rossi-alpha (advanced R-α) method. Four cases are analyzed for two different subcritical states of the core and two different neutron source locations. Two different negative reactivity <I>ρ</I> values are obtained by the measurements of control rod worth and regarded as the reference reactivity values, comparing the results by the four methods.</P> <P>The F-α shows reactivity errors ranging between 7.1 and 7.3% due to its use of variance-to-mean ratios of detector count signals, which are not very sensitive to neutron background noise. However, the fitting uncertainties associated to the F-α results are large, ranging between 5.4 and 12.8% at one standard deviation. The R-α shows small fitting uncertainties ranging between 2.8 and 3.8%, although reactivity errors are in the range of 3.5–26.5% due to the neutron background noise. Finally, the advanced R-α that explicitly models the neutron background noise contrary to the previous methods shows the reactivity errors in the range of 1.0–11.8%, and provides the lowest uncertainties of the measured <I>ρ</I> in the range of 0.4–0.9%. In conclusion, among the four methods applied to the reactivity measurements at KUCA, the advanced R-α reveals the best accuracy with the lowest uncertainties.</P>

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