摘要
长进尺、大断面开挖条件下,隧道开挖掌子面-未支护段围岩三维稳定性具有更大挑战,围岩三维精细化分级是解决该问题的关键。基于现场收集的大量钻进参数样本,运用极端随机树算法,建立围岩智能分级机器学习模型;在此基础上,利用凿岩台车扫描定位系统及坐标系转换关系确定各炮孔钻进参数对应的三维坐标,并利用克里金空间插值技术构建开挖循环范围内钻进参数三维数据空间;结合隧道工程实际,进一步将钻进参数三维数据空间纵向分段、横向分块(分层、分区),利用围岩智能分级模型实现各尺度三维精细化分级,为制定、调整施工方案提供建议。研究有助于促进基于钻进参数的围岩智能分级的应用,提升施工阶段的围岩分级水平,为精细化设计奠定基础。
Under the condition of long footage and large section excavation,the three-dimensional stability of surrounding rock of tunnel face-unsupported section faces greater challenges,and three-dimensional fine classification of surrounding rock is the key to solve the problem.Firstly,by using the extremely randomized tree algorithm,the intelligent classification machine learning model of surrounding rock was established based on drilling parameters collected on site.Secondly,the three-dimensional coordinates corresponding to the drilling parameters of each borehole were determined by using the scanning and positioning system of drilling jumbo and the coordinate system transformation relationship,and the three-dimensional data space of drilling parameters within the excavation cycle was constructed by using Kriging spatial interpolation technology.Further combined with the actual tunnel work,the three-dimensional data space of the drilling parameters was vertically and horizontally segmented(layered and partitioned).Finally,the intelligent classification model of surrounding rock was used to realize the three-dimensional fine classification of each scale and provide suggestions for the formulation and adjustment of construction method statement.The study is useful to broaden the application of intelligent classification of surrounding rock based on drilling parameters,improve the classification level of surrounding rock in the construction stage and lay the foundation for fine design.
作者
王明年
赵思光
童建军
夏覃永
易文豪
李泽星
WANG Mingnian;ZHAO Siguang;TONG Jianjun;XIA Qinyong;YI Wenhao;LI Zexing(State Key Laboratory of Intelligent Geotechnics and Tunnelling,Southwest Jiaotong University,Chengdu 610031,China;School of Civil Engineering,Southwest Jiaotong University,Chengdu 610031,China;Technical Standards Institute of China Railway Eeonomic and Planning Researeh Institute Co.,Ltd.,Beijing 100038,China)
出处
《铁道学报》
EI
CAS
CSCD
北大核心
2024年第10期163-173,共11页
Journal of the China Railway Society
基金
国家自然科学基金(52378411)。
关键词
隧道
钻进参数
围岩分级
三维空间插值
精细化设计
tunnel
drilling parameters
surrounding rock classification
three dimensional spatial interpolation
fine design
