遗传算法在大坝安全监测模型中的应用  

Appication of genetic algorithm to dam safety monitoring model

作　　者：张先帅 陈新[1] 杨淘[1] 张园园[1] 

机构地区：[1]四川大学水利水电学院,四川成都610065

出　　处：《水利水电技术》2016年第11期111-114,共4页Water Resources and Hydropower Engineering

摘　　要：通过对三江闸坝典型坝段进行有限元建模及逐步回归分析,建立了混凝土闸坝位移监控的混合模型,再采用遗传算法优化混合模型,从而建立基于遗传算法的遗传混合模型。通过对比分析表明,在不增加影响因子数的情况下,遗传混合模型在各方面都要优于混合模型。这对未来大坝安全监测模型参数的优化具有参考意义。Through the finite element modeling and stepwise regression analysis made on the typical dam section of Sanjiang Sluice-dam, a hybrid model for monitoring of the displacement of the concrete sluice-dam is established, and then the hybrid model is optimized with the genetic algorithm, thus a genetic algorithm based hybrid model is established. Through the relevant comparative analysis, it is indicated that the genetic algorithm based hybrid model is better than the hybrid model in all the as- pects concerned under the condition without increasing the number of the impacting factors. This has a reference significance for the optimization of the dam safety monitoring model in the days to come.

关 键 词：逐步回归 混合模型 遗传算法 遗传混合模型 

分 类 号：TV512[水利工程—水利水电工程]