Abstract
Occasionally, in complex inherent characteristics of certain rocks, especially anisotropic rocks it may be difficult to measure the uniaxial compressive strength UCS. However, the use of empirical relationships to evaluate the UCS of rock can be more practical and economical. Consequently, this study carried out to predict UCS from microfabrics properties of banded amphibolite rocks using multiple regression analysis. Based on statistical results, rock microfabric parameters, which adequately represent the UCS of a given rock type have been selected. The results show that grain size, shape factor and quartz content have high significant correlation with UCS at 95% confidence level. From multiple regression model, approximately 84% of the variance of the UCS can be estimated by the linear combination of these three parameters. However, according to model performance criteria: correlation coefficient (R = 0.919), variance account for (VAF = 97%) and root mean square error (RMSE = 4.16) the study clearly indicates that the developed model is reliable to predict the UCS. Finally, this approach can be easily extended to the modeling of rock strength in the absence of adequate geological information or abundant data.
Highlights
Uniaxial compressive strength (UCS) of rocks is one of the most important intact rock parameters, that it is commonly used for a variety of engineering designing surface and underground rock structures [1]
In despite of F statistic results, when considering the t-test, the study revealed that grain area (GA) and/or Hornblende (Hb) variables when included in the model are insignificant at 95% confidence level based on t-test due to the multicollinearity problem as shown in model 1 and 4
When tested model 2, it seems unlikely that shape factor SF will be useful predictor of UCS at 95% confidence level, it turns out that, in the presence of grain size (GS), it does make an insignificant contribution to predicting UCS (Table 2)
Summary
Uniaxial compressive strength (UCS) of rocks is one of the most important intact rock parameters, that it is commonly used for a variety of engineering designing surface and underground rock structures [1]. (2014) Selection of Influential Microfabric Properties of Anisotropic Amphibolite Rocks on Its Uniaxial Compressive Strength (UCS): A Comprehensive Statistical Study. Contrary to previous UCS models from textural characteristics-this study carried out with aim of select relatively smaller number of rock microfabrics but more influential ones, which adequately represent the UCS of a given rock type. This can reduce popularity of this technique for evaluating mechanical properties of rock from textural characteristics. This effort is a complementary contribution to the studies presented using comprehensive statistical analysis technique For this purpose banded amphibolite rocks were collected from varied rock slopes along Chengdu-wenchuan highway in Sichuan province, china. In reviewing the literature, no data was found focusing on this type of metamorphic rocks
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