Jamshidi Amin, Sousa Luís
Department of Geology, Faculty of Basic Sciences, Lorestan University, Khorramabad 681151-44316, Iran.
Department of Geology and Pole of Geosciences Center, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal.
Materials (Basel). 2024 Oct 18;17(20):5081. doi: 10.3390/ma17205081.
Uniaxial compressive strength (UCS) of rocks is one of the main parameters required in the design of geotechnical projects such as tunnels, dams, or rock slopes. According to the literature, there are a large number of predictive regression equations to evaluate the UCS from the point load index (PLI) and Brazilian tensile strength (BTS). However, the equations developed in previous studies have different accuracies in UCS prediction. A more accurate prediction of the UCS will result in a more appropriate design of the geotechnical project, and thus ensure its success during operation. In the present paper, a comparative study was conducted between the accuracy of PLI and BTS in predicting the UCS of the limestone and sandstone. Moreover, the role of porosity (n) on the accuracy of predicting the UCS from PLI and BTS was investigated. Some statistical indices were used to investigating the accuracy of predictive regression equations of UCS. The results revealed that the UCS of rocks can be predicted with a higher accuracy using BTS compared with PLI. Also, the findings showed that the n had a significant role in increasing the accuracy of PLI- and BTS-based regression equations of the UCS predictive. The predictive equations established in the present study can be used in practical applications for indirect evaluation of limestone and sandstone UCS in the site of a geotechnical project.
岩石的单轴抗压强度（UCS）是隧道、大坝或岩石边坡等岩土工程项目设计所需的主要参数之一。根据文献，有大量预测回归方程可从点荷载指数（PLI）和巴西抗拉强度（BTS）来评估UCS。然而，先前研究中开发的方程在UCS预测方面具有不同的准确性。对UCS进行更准确的预测将导致岩土工程项目设计更合理，从而确保其在运营期间取得成功。在本文中，对PLI和BTS预测石灰岩和砂岩UCS的准确性进行了比较研究。此外，研究了孔隙率（n）对从PLI和BTS预测UCS准确性的影响。使用了一些统计指标来研究UCS预测回归方程的准确性。结果表明，与PLI相比，使用BTS可以更准确地预测岩石的UCS。研究结果还表明，n在提高基于PLI和BTS的UCS预测回归方程的准确性方面具有重要作用。本研究建立的预测方程可用于岩土工程项目现场石灰岩和砂岩UCS的间接评估实际应用中。
