矿山岩质边坡地层结构及岩体抗剪强度参数随钻智能识别方法  

Intelligent Identification Methods for Stratigraphic Structure and Rock Mass Shear Strength Parameters in Mining Rock Slopes Using Drilling Data

作　　者：程谞 汤华[1,2] 吴振君 张勇慧[1,2] 秦辉 王腾[1,2] 贾泽庆 房昱纬 CHENG Xu;TANG Hua;WU Zhenjun;ZHANG Yonghui;QIN Hui;WANG Teng;JIA Zeqing;FANG Yuwei(State Key Lab.of Geomechanics and Geotechnical Eng.,Inst.of Rock and Soil Mechanics,Chinese Academy of Sciences,Wuhan 430071,China;Univ.of Chinese Academy of Sciences,Beijing 100049,China;Yunnan Inst.of Transport Planning and Design Co.,Ltd.,Kunming 650200,China)

机构地区：[1]中国科学院武汉岩土力学研究所岩土力学与工程国家重点实验室,湖北武汉430071 [2]中国科学院大学,北京100049 [3]云南省交通规划设计研究院股份有限公司,云南昆明650200

出　　处：《工程科学与技术》2024年第5期35-47,共13页Advanced Engineering Sciences

基　　金：云南省重点研发计划项目(202303AA080010);岩土力学与工程国家重点实验室开放基金课题(SKLGME022014)。

摘　　要：地层类别及岩体抗剪强度参数的准确识别对岩质边坡的稳定性评估至关重要。基于无量纲的可钻性指标建立了岩体抗剪强度参数随钻识别模型,使得随钻测试结果能够不经标定或换算,即可直接识别岩体抗剪强度参数。结合无监督学习和自主设计的决策模块,对深度序列随钻数据进行智能识别和自动平滑处理,实现对地层结构的智能感知,并定量描述各岩层的随钻参数及抗剪强度参数。采用自主研发的高精度现场随钻测试设备对云南鹤庆北衙露天矿灰岩体区和F6-1断层交界区域的爆破钻孔过程进行监测,并以两个典型钻孔的全过程监测结果为例,展示随钻智能识别方法的应用。总体而言,ZK1钻孔随钻智能识别方法与原始地质剖面一致程度为90.85%,ZK2钻孔随钻智能识别方法与原始地质剖面一致程度为84.47%,钻孔成像验证表明该方法识别的地层能更准确地反映边坡实际地层情况。值得注意的是,该方法能够在大尺度与地质剖面结果一致的前提下,精准地识别出地质剖面未曾表现的关键层位。这一特性为破碎软弱岩层及其强度参数的识别,以及地质模型的精准构建提供了有力保障。该方法在岩土工程领域具有广泛的应用前景,为岩层性质和抗剪强度参数的实时智能识别及地质模型的精准构建提供了可靠的解决方案。Objective Accurately identifying stratigraphic structures and shear strength parameters in rock is crucial for ensuring the safety and stability of rock slopes,especially within the context of open-pit mining operations.China,known for its extensive mineral resources and diverse mining activities,places high importance on the safe production of its numerous open-pit mines.The extraction process in these mines generates large volumes of high-steep rock slopes,whose stability is essential for mining safety.Analysis of slope stability requires an understanding of the slope's structure,the distribution of structural planes,and groundwater distribution along with the precise determination of the shear strength parameters of rock.However,the inherent complexity of natural rock makes it challenging to determine these parameters,a persistent issue in rock mechanics.Additionally,the dynamic nature of open-pit mining means that slope structures continually evolve,and controlling factors alter accordingly.Therefore,dynamically and accurately obtaining the shear strength parameters of rock at various slope locations is paramount.The measurement while drilling(MWD)technique,which installs multiple sensors on a drilling rig to record in-situ drilling parameters in real time,facilitates the inversion of lithology and shear strength parameters of strata.Daily drilling of numerous blasting holes for blasting and extraction produces extensive drilling data in mining operations.Utilizing this data to reflect the shear strength parameters of rock in real time and accurately fulfills the dynamic and in-situ requirements for these parameters,ensuring timely optimization of rock slope bench design and regionalized fine monitoring of slopes.This approach aids in developing more automated,digitized,and intelligent safe mines.However,current research on geological lithology and shear strength parameters inversion based on MWD heavily relies on manual interpretation of depth sequence downhole data from existing geological information or co

关 键 词：岩质边坡 随钻测试 可钻性指标 抗剪强度参数 无监督学习 

分 类 号：TU45[建筑科学—岩土工程]