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ABWR START-UP TEST ANALYSIS USING BWR CORE SIMULATOR WITH THREE-DIMENSIONAL DIRECT RESPONSE MATRIX METHOD

机译:ABWR启动测试分析使用BWR核心模拟器具有三维直接响应矩阵法

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The ABWR start-up test analysis has been done with the BWR core simulator using the three-dimensional direct response matrix (3D-DRM) method. The Monte Carlo code VMONT made the sub-response matrices for the 3D-DRM method. Each boundary surface was subdivided by 4 × 4 for transverse segments, by 4 for angular segments and by 4 for axial zones in a node. For the calculation speedup, the 3D-DRM code used the divided sub-response matrices data set. The code used the MPI and OpenMP for the parallelized method. The median value is set as the average critical eigenvalues. The changes from the maximum value to the minimum value are 0.34 %Ak with the spectral history method and 0.40 %Ak without it, and the respective standard deviations were 0.12 % and 0.14 %. Using the spectral history method decreased the variation by 0.06 %Ak. The root mean square differences of the axial power distribution were about 6 % between the analysis results and the plant data. Using the currents which converged in the previous exposure step reduced the number of iterations when the CR pattern changed only slightly. The averaged calculation time for each exposure step was about 5 hours on 12 PC Linux cluster servers with Core 2 Quad 3GHz.
机译:使用三维直接响应矩阵(3D-DRM)方法与BWR核心模拟器进行了ABWR启动测试分析。 Monte Carlo Code Vmont为3D-DRM方法进行了子响应矩阵。每个边界表面被4×4用于横向区段,逐个4个用于节点中的轴向区域的4个。对于计算加速,3D-DRM代码使用划分的子响应矩阵数据集。代码使用了PAI和OpenMP的并行化方法。中位值被设置为平均危急特征值。从最大值到最小值的变化为0.34%AK,光谱历史方法和0.40%AK没有它,相应的标准偏差为0.12%和0.14%。使用光谱历史方法将变化降低0.06%AK。分析结果和植物数据之间的轴向功率分布的根均方差异约为6%。使用在先前的曝光步骤中融合的电流减少了CR模式仅稍微改变时的迭代次数。每次曝光步骤的平均计算时间为12个PC Linux群集服务器的大约5小时,具有核心2 Quad 3GHz。

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