2025年8月3日 星期日
岩石力学与工程学报  2025, Vol. 44 Issue (3): 572-583    DOI: 10.3724/1000-6915.jrme.2024.0528
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砂化白云岩隧洞砂化等级的随钻识别模型与应用
董家兴1,杨  吉1,赵永川2,王志荣3,白  锐4,李建国2,米  健2,王益仙5
(1. 昆明理工大学 电力工程学院,云南 昆明  650500;2. 云南省水利水电勘测设计研究院,云南 昆明  650021;
3. 云南省滇中引水建设管理局 玉溪分局,云南 玉溪 653100;4. 云南省滇中引水工程有限公司,云南 昆明  650000;
5. 云南秀川水利水电勘察设计有限公司,云南 昆明  650021)
Modeling and application of while drilling identification of sandification grade in sandy dolomite tunnels#br#
DONG Jiaxing1,YANG Ji1,ZHAO Yongchuan2,WANG Zhirong3,BAI Rui4,LI Jianguo2,MI Jian2,WANG Yixian5
(1. Faculty of Electric Power Engineering,Kunming University of Science and Technology,Kunming,Yunnan 650500,China;
2. Yunnan Institute of Water and Hydropower Engineering Investigation,Design and Research,Kunming,Yunnan 650021,China;
3. Yuxi Branch Bureau,Yunnan Central Yunnan Water Diversion Construction Management Bureau,Yuxi,Yunnan 653100,China;
4. Central Yunnan Water Diversion Construction Administration Bureau,Kunming,Yunnan 650000,China;5. Yunnan Xiu Chuan Water and Hydropower Engineering Investigate Design Co.,Ltd.,Kunming,Yunnan 650021,China)
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摘要 准确识别砂化等级是砂化白云岩隧洞施工灾害防控的关键抓手,然而,现有砂化等级划分方法与超前地质预报尚不能有效结合,一定程度上削弱了超前水平钻成果在灾害防控中的作用。以灾害案例分析为基础,开展6种典型工况下钻头破岩的ABAQUS数值模拟,从钻进位移和实时钻进速度两方面对相应岩层的钻进结果进行分析,并进行现场钻进试验,分析不同砂化等级围岩的钻进速度频率分布特征,构建并验证了基于钻进速度的砂化等级预测模型。研究结果表明:(1) 砂化白云岩钻进速度随砂化等级提高而增大,钻进速度作为白云岩砂化等级预测指标是合理可行的;(2) 基于434组实际超前水平钻钻进速度的统计分析,弱砂化白云岩钻进速度出现在2.33~5 mm/s范围的概率为92.47%,强烈砂化白云岩钻进速度出现在3.33~6.67 mm/s范围的概率为87.18%,剧烈砂化白云岩钻进速度出现在4.17~9.17 mm/s范围的概率为90.74%,均呈现正态分布;(3) 将构建的砂化等级预测模型应用于滇中引水工程,识别结果与实际砂化等级吻合度高。研究成果直接推动超前水平钻成果应用于砂化等级预测与识别,进而指导砂化白云岩隧洞灾害防控。
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董家兴1
杨 吉1
赵永川2
王志荣3
白 锐4
李建国2
米 健2
王益仙5
关键词 隧道工程砂化白云岩超前钻探钻进速度砂化等级预测    
Abstract:Accurate identification of sandification grades is crucial fordisaster prevention and control in sandy dolomite tunnels. However,the existing sandification grade classification methods cannot be effectively combined with advanced geological prediction,which weakens the role of advanced horizontal drilling results in disaster prevention and control to a certain extent. Based on the analysis of disaster cases,the rock breaking of bit numerical simulation under six typical working conditions was conducted by the ABAQUS. The drilling results of the corresponding rock strata were analyzed from two aspects of drilling displacement and real-time drilling speed,and the field drilling test was carried out. The frequency distribution characteristics of the drilling speed of the surrounding rock with different sandification grades were analyzed. Furthermore,a prediction model of sandification grade based on drilling speed was constructed and verified. The results show that:(1) The drilling speed of sandy dolomite increases with the increase of sandification grade,and it is reasonable and feasible to use drilling speed as a prediction index of dolomite sandification grade. (2) Based on the statistical analysis of 434 groups of actual advanced horizontal drilling speed,the likelihood of drilling speed in the range of 2.33–5 mm/s in weak sandy dolomite is 92.47%,the possibility of drilling speed in the range of 3.33–6.67 mm/s in severe sandy dolomite is 87.18%,and the possibility of drilling speed in the range of 4.17–9.17 mm/s in complete sandy dolomite is 90.74%,all of which show normal distribution. (3) The prediction model of sandification grade is applied to the Water Diversion Project in Central Yunnan,and the identification results are consistent with the actual sandification grade. The research results directly promote the application of advanced horizontal drilling results to the prediction and identification of sandification grade and guide the disaster prevention and control of sandy dolomite tunnels.
Key wordstunnel engineering    sandy dolomite    advanced drilling    drilling velocity    sandification grade prediction
    
引用本文:   
董家兴1,杨 吉1,赵永川2,王志荣3,白 锐4,李建国2,米 健2,王益仙5. 砂化白云岩隧洞砂化等级的随钻识别模型与应用[J]. 岩石力学与工程学报, 2025, 44(3): 572-583.
DONG Jiaxing1,YANG Ji1,ZHAO Yongchuan2,WANG Zhirong3,BAI Rui4,LI Jianguo2,MI Jian2,WANG Yixian5. Modeling and application of while drilling identification of sandification grade in sandy dolomite tunnels#br#. , 2025, 44(3): 572-583.
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