地下水封洞库洞室智能动态设计方法研究与实践  

esearch and practice on intelligent dynamic design method of underground water-sealed storage cavern

作　　者：朱海涛 曹洋兵 谢浩 张遂[2] 黄真萍[1] ZHU Haitao;CAO Yangbing;XIE Hao;ZHANG Sui;HUANG Zhenping(Engineering Research Centre of Geological Engineering of Fujian Provincial Universities,Zijin School of Geology and Mining,Fuzhou University,Fuzhou,Fujian 350108,China;103 Geological Brigade of the Bureau of Geology and Mineral Exploration and Development in Guizhou Province,Tongren,Guizhou 554300,China)

机构地区：[1]福州大学紫金地质与矿业学院,地质工程福建省高校工程研究中心,福建福州350108 [2]贵州省地质矿产勘查开发局一O三地质大队,贵州铜仁554300

出　　处：《福州大学学报（自然科学版）》2024年第6期740-747,共8页Journal of Fuzhou University(Natural Science Edition)

基　　金：福建省自然科学基金资助项目(2023J01424);贵州省高层次创新型人才项目(黔科合平台人才[2020]6019-2号);贵州省地质矿产勘查开发局地质科研项目(黔地矿科合[2020]1号)。

摘　　要：总结分析地下水封洞库工程地质特征,综合考虑工程地质勘察与监测信息等已知条件与设计目标、约束条件,提出考虑洞室断面收缩、岩体结构模型与力学参数同步反馈修正的地下水封洞库洞室智能动态设计方法.该方法在初步设计阶段,应用反映场地岩体结构等效特征的岩体离散介质模型构建技术,结合不同模型条件下岩体、结构面力学参数综合确定方法与围岩稳定性、水封性评价指标,并充分利用进化神经网络算法等智能优化方法进行洞室设计;在施工图设计与施工阶段,应用反映开挖区段岩体结构真实特征的岩体离散介质模型动态反馈修正数值模型,并基于多场监测数据开展岩体与结构面力学参数智能反演以进行洞室设计,同时提出洞室断面收缩调整策略.选取浙江某地下水封洞库作为典型案例,分别从两阶段介绍设计方法应用过程与成效,结果表明该方法具有较高可行性与可靠性.The engineering geological characteristics of the underground water-sealed storage caverns are summarized and analyzed.The known conditions of the storage caverns,such as engineering geological investigation and monitoring information,and the design objectives and constraints,are comprehensively considered.Based on these,the intelligent dynamic design method of underground water-sealed storage caverns is proposed,which gives priority to the shrinkage of cavern cross-section,and the synchronous feedback correction of the rock mass structure model and mechanical parameters.In the preliminary design stage of this method,the technology of constructing the discrete medium model of rock mass that reflects the overall structural characteristics of the rock mass in situ and is statistically equivalent to it is applied.Combined the comprehensive determination method of the mechanical parameters of the rock mass and the discontinuity under the conditions of different models,and the evaluation indexes of the surrounding rock stability and water sealing,the cavern design is carried out simultaneously utilizing the intelligent optimization methods such as the evolution neural network algorithm.In the stage of the construction drawings and the constructing,the method of dynamic feedback correction of the discrete medium model of the rock mass reflecting the real structural characteristics in the excavation section is applied,as well as the intelligent inversion method of the mechanical parameters of the rock mass and the discontinuity based on the multi-field monitoring data.Besides that,the strategy of adjusting the cross-section of the cavern chamber are also proposed.An underground water-sealed storage cavern engineering in Zhejiang Province is selected as a typical case for the application of the intelligent dynamic design method of the cavern.The application process and effectiveness of the design method is introduced from two stages,which shows that the method is highly feasibility and reliability.

关 键 词：地下水封洞库 围岩稳定性 智能算法 动态设计 离散元模拟 

分 类 号：P642.2[天文地球—工程地质学]