首页> 外文会议>International conference on mathematics, computational methods reactor physics;MC 2009 >A PROPOSAL FOR A BENCHMARK TO MONITOR THE PERFORMANCE OF DETAILED MONTE CARLO CALCULATION OF POWER DENSITIES IN A FULL SIZE REACTOR CORE
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A PROPOSAL FOR A BENCHMARK TO MONITOR THE PERFORMANCE OF DETAILED MONTE CARLO CALCULATION OF POWER DENSITIES IN A FULL SIZE REACTOR CORE

机译:建议在全尺寸反应堆堆芯中监视基准以进行功率密度的详细蒙特卡罗计算

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Current computers and Monte Carlo codes are not yet able to calculate the power density map in a full size reactor core with sufficient statistical accuracy. This is only expected in 10 to 20 years from now. To monitor the improvement in efficiency of Monte Carlo codes over the years a benchmark test is proposed with emphasis on the estimation of the power density in a large number of axial regions of each fuel pin. The modeling of the full size reactor core is kept simple but with sufficient geometrical detail for a realistic Monte Carlo calculation. The main aim of the benchmark is to determine the execution time for a Monte Carlo calculation of the power density with sufficient statistical accuracy in as many regions as possible and to monitor the efficiency of the calculation over the years considering improvements in Monte Carlo codes and computers. In this paper full specifications for geometry and composition are provided. Preliminary results with the MCNP5 code indicate that for a 1 % statistical uncertainty in the local power density more than 10~(10) neutron histories must be simulated. The computing time will increase substantially with the number of tallies for power density estimation in separate regions. For the time being this will limit the number of regions for which the power density can be estimated. There may also be memory problems when using very large numbers of tallies. It is expected that the number of available computer nodes and CPU cores for a parallel calculation will increase enormously in the coming decades. However, the noted decrease in efficiency when using more CPU cores will require more advanced programming of Monte Carlo simulation for parallel processing. Hence, the proposed benchmark will stimulate improvement in practical Monte Carlo calculations for reactor cores in many ways.
机译:当前的计算机和蒙特卡洛代码尚无法以足够的统计精度来计算全尺寸反应堆堆芯中的功率密度图。从现在起,预计只有10到20年的时间。为了监视多年来蒙特卡洛代码效率的提高,提出了基准测试,重点是估计每个燃料销的大量轴向区域中的功率密度。全尺寸反应堆堆芯的建模保持简单,但具有足够的几何细节,可以进行实际的蒙特卡洛计算。基准测试的主要目的是确定蒙特卡洛功率密度计算的执行时间,并在尽可能多的区域内具有足够的统计精度,并考虑多年来蒙特卡洛代码和计算机的改进,以监视计算的效率。本文提供了有关几何形状和成分的完整规范。 MCNP5代码的初步结果表明,对于1%的局部功率密度统计不确定性,必须模拟超过10〜(10)个中子历史。计算时间将随着在单独区域中用于功率密度估计的计数的数量而显着增加。目前,这将限制可以估计功率密度的区域数量。使用大量计数时,也可能会出现内存问题。预计在未来几十年中,用于并行计算的可用计算机节点和CPU内核的数量将大大增加。但是,当使用更多CPU内核时效率显着下降将需要对Monte Carlo仿真进行更高级的编程以进行并行处理。因此,拟议的基准将以多种方式刺激对反应堆堆芯的实际蒙特卡洛计算的改进。

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