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通过对已经烧过一个周期燃料的再布置,求得最合理的堆芯布置方案,为此设计了改进的随机搜索策略。为提高搜索的成功率,采用了类似于分层抽样的技巧。第一步分别在各层内作随机搜索,求得局布优化方案,然后再作层间交换,试图求出全局优化方案。改进了计算目标函数的迭代算法,编制了计算机程序,并在CYBER/180计算机上对一模型问题作了计算。结果表明,方法是可行而有效的,既可用于校核先前的优化方法的结果,也可独立用于燃料管理的研究。还着重讨论了传统的OUT-IN换料方式的优化过程,对低泄漏燃料管理也作了启示式的探讨。
By re-arranging the fuel that has been burned for one cycle, the most reasonable core arrangement is obtained. For this reason, an improved random search strategy is designed. To improve the search success rate, a technique similar to stratified sampling is used. The first step is to randomly search within each layer to find the optimal plan of the bureau, and then make an exchange between layers to try to find the global optimization plan. The iterative algorithm for calculating the objective function is improved, the computer program is compiled, and a model problem is calculated on the CYBER / 180 computer. The results show that the method is feasible and effective, which can be used to check the results of the previous optimization methods and can also be used independently for fuel management research. It also focuses on the optimization process of the traditional OUT-IN refueling mode, and also makes some enlightenment discussions on low-leakage fuel management.