摘要
拉丁超立方抽样(Latin Hypercube Sampling,LHS)方法具有较好的空间填充特性和良好的概率性质,广泛应用于计算机仿真领域,以解决复杂系统计算机仿真的巨大运算代价问题和复杂系统的精确替代模型建立问题。本文介绍了LHS方法在非能动系统可靠性分析中的优势,综述了LHS的改进方法、优化方法及样本扩展方法,给出LHS方法在核能领域的应用及存在的问题。最后,指出LHS方法应用于非能动系统可靠性分析中的发展趋势与方向。
Latin hypercube sampling （LHS） method with better space-filling property is often used for computer simulation, to solve the problem of huge computation cost for complex systems ＇ simulation and establish more accurate substitution models. LHS method＇s advantages in passive system reliability analysis are introduced in this paper. Improved Latin hypercube sampling, optimized Latin hypercube sampling and extension method of samples are summarized. LHS method＇s applications and deficiencies in nuclear field are proposed. Lastly, LHS method＇s future application and development direction in passive system reliability analysis are suggested.
出处
《核科学与工程》
CSCD
北大核心
2017年第5期879-887,共9页
Nuclear Science and Engineering
