Comparison and combination of Leeb hardness and point load strength for indirect measuring tensile and compressive strength of rocks

Uniaxial compressive strength (UCS) and tensile strength (BTS) of rocks are very important parameters in the practice of mining engineering, tunneling, slope engineering, etc. The method of obtaining the BTS and UCS of rocks by indirect measurement through point load test is very widely used. In ord...

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Veröffentlicht in:Bulletin of engineering geology and the environment 2024-04, Vol.83 (4), p.109, Article 109
Hauptverfasser: Guan, Shenggong, Cao, Runqing, Zhong, Yang, Nan, Hu, Wu, Faquan
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Cao, Runqing
Zhong, Yang
Nan, Hu
Wu, Faquan
description Uniaxial compressive strength (UCS) and tensile strength (BTS) of rocks are very important parameters in the practice of mining engineering, tunneling, slope engineering, etc. The method of obtaining the BTS and UCS of rocks by indirect measurement through point load test is very widely used. In order to improve the accuracy and convenience of indirect measurement, this paper obtained point load strength (I S(50) ), Leeb hardness value ( H L ), UCS, and BTS of six different rocks by indoor tests, compared the results of point load test and Leeb hardness test for indirect measurement of UCS and BTS, and analyzed the correlation of each parameter. The test results showed that both H L and I S(50) could establish better relational functions with BTS and UCS, and the relationship between H L and UCS was more significant as a power function; the relationship between H L and BTS was more significant as a linear relationship; there was a significant linear relationship between both I S(50) and BTS and UCS, and in comparison, the fit between I S(50) and BTS was better. In particular, comparing the error magnitude respectively of indirect measurement of BTS and UCS by ISRM method, point load method, Leeb hardness method, rock classification method, and two-parameter method, it was found that the ISRM method calculates UCS with a high relative error of 10 to 50%, and the rock classification method and two-parameter method calculate results with a small relative error of ± 10%.
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subjects Classification
Compressive strength
Deformation
Earth and Environmental Science
Earth Sciences
Energy consumption
Engineering
Error analysis
Foundations
Geoecology/Natural Processes
Geoengineering
Geotechnical Engineering & Applied Earth Sciences
Hardness
Hardness tests
Hydraulics
Load
Load tests
Marble
Mathematical analysis
Mechanics
Mining engineering
Nature Conservation
Original Paper
Parameters
Rock
Rocks
Stone
Tensile strength
Velocity
Water hardness
title Comparison and combination of Leeb hardness and point load strength for indirect measuring tensile and compressive strength of rocks
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