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Volume 42 Issue 9
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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
shu

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

  • 1.

    Department of Geotechnical Engineering, China Institute of Water Resources and Hydropower Research, Beijing 100048, China

  • 2.

    State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China (Xi'an University of Technology), Xi'an 710048, China

  • 3.

    State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, China

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  • Received Date: November 10, 2019
  • Available Online: December 07, 2022
    Graphical Abstract
    • 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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    • References (20)
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