【摘要】 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。更多还原

【Abstract】 A random method for simulating optimization of refueling management in a pressurized water reactor (PWR) core is described. The main purpose of the optimization was to select the ’best’ refueling arrangement scheme which would produce maximum economic benefits, under certain imposed conditions. To fulfill this goal, an effective optimization strategy , two-stage random search method was developed. First, the search was made in a manner similar to the stratified sampling technique. A local optimum can be reached by comparison of the successive results. Then the other random experiences would be carried on between, different strata to try to find the global optimum. In general, it can be used as a practical tool for conventional fuel management scheme. However, it can also be used in studies on optimization of Low-Leakage fuel management. Some calculations were done for a typical PWR core on a CYBER-180/830 computer. The results show that the method proposed can obtain satisfactory approach at reasonable low computational costs.更多还原