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王玉杰, 佘磊, 赵宇飞, 曹瑞琅. 基于数字钻进技术的岩石强度参数测定试验研究[J]. 岩土工程学报, 2020, 42(9): 1659-1668. DOI: 10.11779/CJGE202009010
引用本文: 王玉杰, 佘磊, 赵宇飞, 曹瑞琅. 基于数字钻进技术的岩石强度参数测定试验研究[J]. 岩土工程学报, 2020, 42(9): 1659-1668. DOI: 10.11779/CJGE202009010
WANG Yu-jie, SHE Lei, ZHAO Yu-fei, CAO Rui-lang. Experimental study on measurement of rock strength parameters based on digital drilling technology[J]. Chinese Journal of Geotechnical Engineering, 2020, 42(9): 1659-1668. DOI: 10.11779/CJGE202009010
Citation: WANG Yu-jie, SHE Lei, ZHAO Yu-fei, CAO Rui-lang. Experimental study on measurement of rock strength parameters based on digital drilling technology[J]. Chinese Journal of Geotechnical Engineering, 2020, 42(9): 1659-1668. DOI: 10.11779/CJGE202009010

基于数字钻进技术的岩石强度参数测定试验研究

Experimental study on measurement of rock strength parameters based on digital drilling technology

  • 摘要: 快速准确地超前获取岩体力学参数是指导岩体工程安全施工的重要前提。利用自主研发的多功能数字钻进测试系统,进行了不同强度等级完整试样的室内数字钻进试验及单轴压缩试验研究。根据试验分析结果,基于岩石研磨钻进过程中金刚石钻头的受力特点,利用力学极限平衡与能量守恒原理,定义并推导出了岩石单位体积研磨能的理论解,获得了数字钻进参数与岩石单位体积研磨能的数学方程式,进而建立了岩石数字钻进参数与单轴抗压强度的定量关系,即RDP-Rc预测模型,并进一步验证了该模型的可行性与有效性。研究方法与结果可以为工程岩体强度参数的实时原位测定提供一种新的途径。

     

    Abstract: Quick and accurate advance acquisition of mechanical parameters of rock mass is an important prerequisite for guiding the safe construction of rock mass engineering. Using the self-developed multi-functional digital drilling test system, the indoor digital drilling tests and uniaxial compression tests on complete samples with different strength grades are carried out. Based on the test results and according to the stress characteristics of diamond bit in rock grinding drilling process, the theoretical solution to the rock grinding energy per unit volume is defined and deduced by using the force limit equilibrium and the energy conservation principle. The mathematical equation for digital drilling parameters and grinding energy per unit volume of rock is obtained, and the quantitative relationship between rock digital drilling parameters and uniaxial compressive strength is established, namely RDP-Rc prediction model, and the feasibility and validity of the model are further verified. The research methods and results can provide a new way for the real-time in-situ measurement of strength parameters of rock mass.

     

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