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Erschienen in: Geotechnical and Geological Engineering 6/2022

31.03.2022 | Original Paper

Prediction of Rock Abrasivity Index (RAI) and Uniaxial Compressive Strength (UCS) of Granite Building Stones Using Nondestructive Tests

verfasst von: Ali Farhadian, Ebrahim Ghasemi, Seyed Hadi Hoseinie, Raheb Bagherpour

Erschienen in: Geotechnical and Geological Engineering | Ausgabe 6/2022

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Abstract

Rock abrasivity index (RAI) and uniaxial compressive strength (UCS) are two key parameters for assessing abrasivity and durability of building stones, respectively. Direct determination of these parameters is a time-consuming, tedious and costly task. Hence, indirect and nondestructive tests such as P-wave velocity (Vp) and Schmidt hammer rebound (SHR) are good alternative for prediction of RAI and UCS. This study mainly focuses on developing fast and reliable correlations for predicting RAI and UCS of Iranian granite building stones using Vp and SHR. For this purpose, 15 types of commercial granite building stones were collected from different regions of Iran. After preparing the required samples, petrographic studies and physico-mechanical tests were performed. Then, using simple and multiple regression analysis, various empirical correlations for RAI and UCS prediction based on Vp and SHR were developed. The coefficient of determination (R2), the variance account for (VAF), the normalized root mean square error (NRMSE) and the performance index (PI) were calculated to check the prediction performance of the correlations. The results showed that the proposed correlations derived from nonlinear multiple regression have more prediction capability than the others. These correlations can be applied for fast prediction of RAI and UCS with acceptable error for practical applications in building stone industry.

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Metadaten
Titel
Prediction of Rock Abrasivity Index (RAI) and Uniaxial Compressive Strength (UCS) of Granite Building Stones Using Nondestructive Tests
verfasst von
Ali Farhadian
Ebrahim Ghasemi
Seyed Hadi Hoseinie
Raheb Bagherpour
Publikationsdatum
31.03.2022
Verlag
Springer International Publishing
Erschienen in
Geotechnical and Geological Engineering / Ausgabe 6/2022
Print ISSN: 0960-3182
Elektronische ISSN: 1573-1529
DOI
https://doi.org/10.1007/s10706-022-02095-9

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