Rock and Soil Mechanics ›› 2026, Vol. 47 ›› Issue (9): 3287-3301.doi: 10.16285/j.rsm.2025.1113
• Testing Technology • Previous Articles
ZHOU Jun-bo1, 2, WANG Hao-lin3, LIU Liu4, LI Shao-jun4, YAN Ting-zhou2, TAO Feng-juan5, HOU Dong-bo2, SHEN Jian4, 6
CLC Number:
| [1] | WU Jing-rong, LEI Jun-qiang, LIU Xue-wei, LIU Bin, ZHOU Zhe, LUO Xu-feng. A physics-informed neural network model for predicting uniaxial compressive strength of rock based on while-drilling parameters [J]. Rock and Soil Mechanics, 2026, 47(9): 3261-3275. |
| [2] | TAN Jian, LIU Xue-sheng, GENG Yan-feng, FU Biao, WANG Hong-lei, XU Ke, . Development and preliminary application of an intelligent testing platform for drilling and testing of rockburst prevention drilling rig [J]. Rock and Soil Mechanics, 2025, 46(2): 673-684. |
| [3] | LIU Yong-bin, ZHANG Xiao-ping, LI Xin-fang, LI De-hong, CHEN Guang-jun, LIU Xiao-bo, XIONG Xue-fei, YANG Lang, LI Yu-sheng. Rock strength identification while drilling based on percussive rotary drilling [J]. Rock and Soil Mechanics, 2024, 45(3): 857-866. |
| [4] | 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, 40(3): 1221-1228. |
| [5] | ZHU Si-tao , JIANG Fu-xing , SHI Xian-feng , SUN Guang-jing , . Energy dissipation index method for determining rockburst prevention drilling parameters [J]. , 2015, 36(8): 2270-2276. |
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