Volume 40 Issue 2
Apr.  2026
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JIANG Zhenggui. Uniaxial compressive strength testing curve of rock based on the Leeb hardness method[J]. GEOTECHNICAL ENGINEERING TECHNIQUE, 2026, 40(2): 263-269. doi: 10.20265/j.cnki.issn.1007-2993.2025-0011
Citation: JIANG Zhenggui. Uniaxial compressive strength testing curve of rock based on the Leeb hardness method[J]. GEOTECHNICAL ENGINEERING TECHNIQUE, 2026, 40(2): 263-269. doi: 10.20265/j.cnki.issn.1007-2993.2025-0011

Uniaxial compressive strength testing curve of rock based on the Leeb hardness method

doi: 10.20265/j.cnki.issn.1007-2993.2025-0011
  • Received Date: 2025-01-08
  • Accepted Date: 2025-06-26
  • Rev Recd Date: 2025-06-06
  • Available Online: 2026-04-09
  • Publish Date: 2026-04-09
  • The Leeb hardness tester, due to its small impact device size and low impact energy, has the advantages of being easy to carry and operate, low requirements for the testing surface, and inducing minimal surface damage to rock specimens especially weak rocks. Therefore, it can be better applied in rock strength assessment in complex environments. This study tests the Leeb hardness of different types of rocks in geological bodies using a Leeb hardness tester, and then tests the uniaxial compressive strength of the rocks after impact. It analyzes and compares the relationship between the Leeb hardness and the corresponding uniaxial compressive strength of the tested rocks, and establishes the strength measurement curves based on linear, power, and quadratic polynomial functions. And the applicability evaluation indicators of the strength curve were introduced in the analysis. The correlation coefficients, relative errors of strength, and relative standard deviations different types of strength curves were compared. The results show that for the selected granites, sandstones, mudstones, and limestones, the uniaxial compressive range of 7.63 to 161 MPa, the fitting parameters obtained using the power function fitting are optimal. The power function regression formula the strength measurement curve is Y=(2×10–5)X2.2931, with a correlation coefficient of 0.9616, the average relative error of the corresponding strength curve is 14.74%. The relative standard deviation is 17.41%, which meets the applicability of the unified strength measurement curve.

     

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