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  1. Ana Sayfa
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Yazar "Ogretici, E." seçeneğine göre listele

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    Predicting the physico-mechanical properties of igneous rocks from electrical resistivity measurements
    (TAYLOR & FRANCIS LTD, 2006) Kahraman, S.; Ogretici, E.; Fener, M.; Yeken, T.; Cotthem, AV; Charlier, R; Thimus, JF; Tshibangu, JP
    Electrical resistivity values of eight different igneous rocks were measured on core samples using a resistivity meter in the laboratory. The resistivity tests were conducted on the samples fully saturated with brine (NaCl solution) and uniaxial compressive strength, Brazilian tensile strength, density and porosity values of the samples were determined in the laboratory. Resistivity values were correlated with the corresponding physico-mechanical properties using simple regression analysis methods. Generally strong correlations obtained from regression analysis. Concluding remark is that electrical resistivity may be a representative measure of properties of igneous rocks. However, further research is necessary to check how the stronger and different igneous rocks affect the correlations.
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    Prediction of physico-mechanical rock characteristics from electrical resistivity tests
    (Southern African Inst Mining Metallurgy, 2024) Kahraman, S.; Ogretici, E.
    The indirect estimation of intact rock properties is particularly useful for preliminary investigations in engineering projects. In this paper we examine the usability of electrical resistivity, a nondestructive measurement, for the prediction of physical and mechanical rock characteristics. Physico-mechanical tests (uniaxial compression, Brazilian tensile, density, and porosity tests) and electrical resistivity measurements were performed on specimens of 36 rock types. Before the resistivity tests, the specimens were completely saturated with saline solution. Evaluation of the test results showed that there are medium or strong correlations between resistivity and rock properties. There are also strong or stronger correlations between the two parameters for the rock classes. The regression equations developed were statistically tested, and their validity was confirmed. The results were also compared with previous studies. The conclusion is that electrical resistivity measurement can be used for reliably estimating physical and mechanical rock characteristics.

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