Abstract

In this paper, a simpler approach compared to the existing approaches is developed to analyze nuclear reactor dynamics based on the explicit Monte Carlo method. A new population control method is also introduced to prevent neutron population growth and consequent computer memory shortages, which also increases simulation speed. The scheme is applied for time-dependent particle tracking in three-dimensional arbitrary geometries in the presence of feedbacks through a code named MCSP-Explicit. Changes in material density, as well as geometry dimensions, are also considered during simulation. MCSP-Explicit can be run with either continuous or multigroup data libraries, and it is further boosted by parallel processing to speed up simulations. A number of benchmark problems are studied at the end to evaluate the performance of the proposed approach in various situations.

摘要

在本文中，与现有方法相比，开发了一种更简单的方法来分析基于显式蒙特卡罗方法的核反应堆动力学。还引入了一种新的种群控制方法来防止中子种群增长和随之而来的计算机内存短缺，这也提高了模拟速度。该方案通过名为 MCSP-Explicit 的代码在存在反馈的情况下应用于三维任意几何形状中的时间相关粒子跟踪。在模拟过程中也会考虑材料密度以及几何尺寸的变化。MCSP-Explicit 可以与连续或多组数据库一起运行，并通过并行处理进一步提高仿真速度。