University of Oulu

Aladejare, A. E. (2020). Evaluation of empirical estimation of uniaxial compressive strength of rock using measurements from index and physical tests. Journal of Rock Mechanics and Geotechnical Engineering, 12(2), 256–268. https://doi.org/10.1016/j.jrmge.2019.08.001

Evaluation of empirical estimation of uniaxial compressive strength of rock using measurements from index and physical tests

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Author: Aladejare, Adeyemi Emman1
Organizations: 1Oulu Mining School, University of Oulu, Pentti Kaiteran Katu 1, Oulu, 90014, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1.5 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2020041718950
Language: English
Published: Elsevier, 2020
Publish Date: 2020-04-17
Description:

Abstract

The uniaxial compressive strength (UCS) of rock is an important parameter required for design and analysis of rock structures, and rock mass classification. Uniaxial compression test is the direct method to obtain the UCS values. However, these tests are generally tedious, time-consuming, expensive, and sometimes impossible to perform due to difficult rock conditions. Therefore, several empirical equations have been developed to estimate the UCS from results of index and physical tests of rock. Nevertheless, numerous empirical models available in the literature often make it difficult for mining engineers to decide which empirical equation provides the most reliable estimate of UCS. This study evaluates estimation of UCS of rocks from several empirical equations. The study uses data of point load strength (Is(50)), Schmidt rebound hardness (SRH), block punch index (BPI), effective porosity (n) and density (ρ) as inputs to empirically estimate the UCS. The estimated UCS values from empirical equations are compared with experimentally obtained or measured UCS values, using statistical analyses. It shows that the reliability of UCS estimated from empirical equations depends on the quality of data used to develop the equations, type of input data used in the equations, and the quality of input data from index or physical tests. The results show that the point load strength (Is(50)) is the most reliable index for estimating UCS among the five types of tests evaluated. Because of type-specific nature of rock, restricting the use of empirical equations to the similar rock types for which they are developed is one of the measures to ensure satisfactory prediction performance of empirical equations.

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Series: Journal of rock mechanics and geotechnical engineering
ISSN: 1674-7755
ISSN-L: 1674-7755
Volume: 12
Issue: 2
Pages: 256 - 268
DOI: 10.1016/j.jrmge.2019.08.001
OADOI: https://oadoi.org/10.1016/j.jrmge.2019.08.001
Type of Publication: A1 Journal article – refereed
Field of Science: 1171 Geosciences
Subjects:
Copyright information: © 2020 Institute of Rock and Soil Mechanics, Chinese Academy of Sciences. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
  https://creativecommons.org/licenses/by-nc-nd/4.0/