基于JAVA和MATLAB混合编程的堆石坝瞬变-流变参数反演分析  

Joint Inversion of Transient-rheological Parameters of Rockfill Dam Based on JAVA and MATLAB Hybrid Programming

作　　者：吴浩东 狄圣杰 张玉[1,3] 黄鹏[2] 刘静 WU Hao-dong;DI Sheng-jie;ZHANG Yu;HUANG Peng;LIU Jing(College of Pipeline and Civil Engineering,China University of Petroleum(East China),Qingdao 266580,Shandong Province,China;Power China Northwest Engineering Corporation Limited,Xi'an 710065,Shaanxi Province,China;Institute of Deep Engineering and Intelligent Technology,Northeastern University,Shenyang 110819,Liaoning Province,China)

机构地区：[1]中国石油大学(华东)储运与建筑工程学院,山东青岛266580 [2]中国电建集团西北勘测设计研究院有限公司,陕西西安710065 [3]东北大学深部工程与智能技术研究院,辽宁沈阳110819

出　　处：《中国农村水利水电》2025年第4期71-76,83,共7页China Rural Water and Hydropower

基　　金：国家自然科学基金资助项目(52179119)。

摘　　要：利用现场监测数据对堆石坝瞬变-流变参数进行反演分析对于确保坝体的安全稳定至关重要。针对堆石坝瞬变-流变模型,采用MATLAB中经过训练的神经网络来描述瞬变-流变参数和变形之间的映射关系,利用JAVA编程遗传算法来寻找最优瞬变-流变参数,以此建立了瞬变-流变参数的智能反演算法组合,并基于JAVA与MATLAB混合编程实现了瞬变-流变参数反演程序化,在西北某水电站面板堆石坝工程中得到应用和检验。结果表明,基于反演参数计算得到的计算沉降与实测沉降相对误差最大为4.33%,二者的时程曲线吻合较好,堆石坝变形在合理范围内并趋于稳定。研究成果满足精度和工程要求,可为堆石坝瞬变-流变参数反演提供一定的参考。The inversion analysis of transient-rheological parameters of rockfill dam by using field monitoring data is very important to ensure the safety and stability of the dam.Aiming at the transient-rheological model of rockfill dam,the trained neural network in MATLAB is used to describe the mapping relationship between transient-rheological parameters and deformation,and the JAVA programming genetic algorithm is used to find the optimal transient-rheological parameters,so as to establish the intelligent inversion algorithm combination of transient-rheological parameters.Based on the hybrid programming of JAVA and MATLAB,the inversion of transient-rheological parameters is programmed,which has been applied and tested in a concrete face rockfill dam project of a hydropower station in Northwest China.The results show that the maximum relative error between the calculated settlement and the measured settlement based on the inversion parameters is 4.33%.The time history curves of the two are in good agreement,and the deformation of the rockfill dam is within a reasonable range and tends to be stable.The research results meet the accuracy and engineering requirements,and can provide some reference for the inversion of transient-rheological parameters of rockfill dams.

关 键 词：堆石坝 瞬变-流变参数反演 混合编程 遗传算法 神经网络 

分 类 号：TV314[水利工程—水工结构工程]