| 基于数字钻探和支持向量机预测岩体单轴抗压强度的方法 |
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| 引用本文： | 王琦,孙会彬,江贝,高松,李术才,高红科.基于数字钻探和支持向量机预测岩体单轴抗压强度的方法[J].岩土力学,2019(3):1221-1228. |
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| 作者姓名： | 王琦 孙会彬 江贝 高松 李术才 高红科 |
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| 作者单位： | 山东大学岩土与结构工程研究中心;中国矿业大学(北京)深部岩土力学与地下工程国家重点实验室;济南大学土木建筑学院 |
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| 基金项目： | 国家自然科学基金(No.51674154;No.51704125;No.51874188);中国博士后科学基金资助(No.2016M602144;No.2017T100491);山东省重点研发计划(No.2017GGC30101;No.2018GGX109001);山东省自然科学基金青年基金(No.ZR2017QEE013);山东大学青年学者未来计划项目(No.2018WLJH76)~~ |
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| 摘 要： |
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| 关 键 词： | 数字钻探测试技术 SVM 单轴抗压强度 随钻参数 |
A method for predicting uniaxial compressive strength of rock mass based on digital drilling test technology and support vector machine |
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| WANG Qi,SUN Hui-bin,JIANG Bei,GAO Song,LI Shu-cai,GAO Hong-ke.A method for predicting uniaxial compressive strength of rock mass based on digital drilling test technology and support vector machine[J].Rock and Soil Mechanics,2019(3):1221-1228. |
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| Authors: | WANG Qi SUN Hui-bin JIANG Bei GAO Song LI Shu-cai GAO Hong-ke |
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| Institution: | (Research Center of Geotechnical and Structural Engineering,Shandong University,Jinan,Shandong 250061,China;State Key Laboratory for Geo-mechanics and Deep Underground Engineering,China University of Mining & Technology,Beijing 100083,China;School of Civil Engineering and Architecture,University of Jinan,Jinan,Shandong 250022,China) |
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| Abstract: | WANG Qi;SUN Hui-bin;JIANG Bei;GAO Song;LI Shu-cai;GAO Hong-ke(Research Center of Geotechnical and Structural Engineering,Shandong University,Jinan,Shandong 250061,China;State Key Laboratory for Geo-mechanics and Deep Underground Engineering,China University of Mining & Technology,Beijing 100083,China;School of Civil Engineering and Architecture,University of Jinan,Jinan,Shandong 250022,China) |
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| Keywords: | digital drilling test technology support vector machine(SVM) uniaxial compressive strength drilling parameters |
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