基于多源监测数据与多目标优化的高堆石坝参数反演分析  

Parameter inversion analysis of high rockfill dams based on multisource monitoring data and multi-objective optimization

作　　者：邹全程 马刚[1,2] 郭承乾 张贵科 程勇刚 周伟[1,2] ZOU Quancheng;MA Gang;GUO Chengqian;ZHANG Guike;CHENG Yonggang;ZHOU Wei(State Key Laboratory of Water Resources Engineering and Management,Wuhan University,Wuhan 430072,China;Key Laboratory of Rock Mechanics in Hydraulic Structural Engineering of Ministry of Education,Wuhan University,Wuhan 430072,China;Yalong River Basin Hydropower Development Co.,Ltd.,Chengdu 610051,China)

机构地区：[1]武汉大学水资源工程与调度全国重点实验室,湖北武汉430072 [2]武汉大学水工岩石力学教育部重点实验室,湖北武汉430072 [3]雅砻江流域水电开发有限公司,四川成都610051

出　　处：《武汉大学学报（工学版）》2024年第11期1539-1550,共12页Engineering Journal of Wuhan University

基　　金：国家自然科学基金项目(编号:52179141,U1865204);雅砻江流域水电开发有限公司资助项目(编号:0023-20XJ0011)。

摘　　要：基于300 m级高堆石坝多材料分区与多源监测布置特点,建立分区目标优化函数,并采用第3代非支配排序多目标遗传算法(non-dominated sorting genetic algorithm-Ⅲ,NSGA-Ⅲ)提出了可充分利用多源监测数据并兼顾整体优化与分区协调的多目标参数反演方法。采用该方法对两河口高堆石坝4个主要材料分区开展了施工期参数反演分析,并与单目标反演参数的计算结果进行对比。结果表明:该方法更能适应300 m级高堆石坝参数反演分析,进一步提高参数反演的精度。Based on the characteristics of multi-material zoning and multi-source monitoring layout of 300 mlevel high rockfill dam,this paper proposes a multi-objective parameter inversion method by establishing partitioned multi-objective functions and using non-dominated sorting genetic algorithm-Ⅲ(NSGA-Ⅲ),which can make full use of multi-source monitoring data and take into account the overall optimization and coordination of different material zoning of dam.Using this method,parameter inversion analysis is carried out for the four main material partitions of the Lianghekou high rockfill dam during the construction period,and the results are compared with the calculation results of single-objective inversion parameters.The results show that this method is more suitable for parameter inversion analysis of 300 m-level high rockfill dams,and the accuracy of parameter inversion is further improved.

关 键 词：300 m级高堆石坝 监测数据 材料分区 参数反演 多目标优化 NSGA-Ⅲ 

分 类 号：TV641.4[水利工程—水利水电工程]