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The identification method for rock strength and joint while drilling based on cutting energy density

基于切削能密度的岩体强度-裂隙随钻识别方法

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Abstract

Rock strength and joint parameters are the basic parameters reflecting engineering rock quality. The traditional rock strength testing method requires taking cores from the surrounding rock on site and transporting them to the laboratory for testing. It is difficult for the test results to reflect the mechanical properties of rock in an engineering site environment. In this paper, the relationship between rock cutting energy density and drilling parameters is established, a prediction model of rock equivalent strength based on drilling parameters (ES-DP model) is constructed, and systematic rock digital drilling tests are carried out. The test results show that the average difference rate between rock equivalent compressive strength measured by the drilling test is 2.4% compared with traditional test methods. On this basis, the identification model of rock joint parameters based on drilling is established. The average accuracy of the rock joint position and width measured by the model is 1.8 and 1.6 mm, respectively. Based on the above research, an identification method for rock strength and joint while drilling is proposed in this paper. It provides a new method for simultaneous in-situ testing of the strength parameters and structural characteristics of surrounding rock in underground engineering.

摘要

岩体强度与裂隙参数是反映工程岩体质量的基本参数,其准确获取是进行地下工程围岩分级与支护合理设计优化的前提。传统的岩体强度测试方法需要对现场围岩取芯并运至实验室测试,测试结果难以反映工程现场环境下的岩体力学性质,而对于岩体强度与裂隙参数的原位测试方法研究较少。本文基于能量守恒定律,建立了岩石切削能密度与随钻参数的关系式,构建了岩体等效强度随钻反演模型(ES-DP模型),系统开展了岩体数字钻进试验。结果表明,相对于传统测试方法,岩体等效强度随钻测试结果平均差异率为2.4%,验证了ES-DP模型对岩体等效强度测试的有效性。在此基础上,建立了岩体裂隙参数随钻识别模型,与实际测量结果相比,该模型测得的岩体裂隙位置与宽度平均精度分别为1.8 和1.6 mm,测试精度较高。基于上述研究,本文提出了一种岩体强度-裂隙随钻识别方法,为实现地下工程围岩强度参数与结构特征的原位实时测试提供了新方法。

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Authors and Affiliations

Authors

Contributions

GAO Hong-ke, WANG Qi and JIANG Bei proposed the research goals and methods, and edited the draft of manuscript. MA Feng-lin conducted the literature review and validated the proposed method. ZHAI Da-hu and CAI Song-lin conducted experiments and analyzed the test data. ZHANG Chong, BIAN Zhen-guo and LIU Guang-jie checked and revised the manuscript. All authors replied to reviewers’ comments and revised the final version.

Corresponding author

Correspondence to Qi Wang  (王琦).

Ethics declarations

GAO Hong-ke, WANG Qi, MA Feng-lin, JIANG Bei, ZHAI Da-hu, CAI Song-lin, ZHANG Chong, BIAN Zhen-guo and LIU Guang-jie declare that they have no conflict of interest.

Additional information

Foundation item: Project(2023YFC2907600) supported by the National Key Research and Development Program of China; Projects (52204260, 42277174, 42177130) supported by the National Natural Science Foundation of China; Project (BX20220341) supported by the China National Postdoctoral Program for Innovative Talents; Project(2022M713382) supported by the Postdoctoral Science Foundation of China; Project(ZR2020JQ23) supported by the Natural Science Foundation of Shandong Province, China; Project(2022JCCXSB03) supported by Fundamental Research Funds for the Central Universities, China

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Gao, Hk., Wang, Q., Ma, Fl. et al. The identification method for rock strength and joint while drilling based on cutting energy density. J. Cent. South Univ. 31, 621–635 (2024). https://doi.org/10.1007/s11771-024-5581-z

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  • DOI: https://doi.org/10.1007/s11771-024-5581-z

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