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Naseri, Fateme, Khanlari, Gholamreza. (1396). The prediction of compressive strength of travertines with special reference to laminae-orientation using index tests. , 7(2), 279-299. doi: 10.22059/geope.2017.226625.648296
Fateme Naseri; Gholamreza Khanlari. "The prediction of compressive strength of travertines with special reference to laminae-orientation using index tests". , 7, 2, 1396, 279-299. doi: 10.22059/geope.2017.226625.648296
Naseri, Fateme, Khanlari, Gholamreza. (1396). 'The prediction of compressive strength of travertines with special reference to laminae-orientation using index tests', , 7(2), pp. 279-299. doi: 10.22059/geope.2017.226625.648296
Naseri, Fateme, Khanlari, Gholamreza. The prediction of compressive strength of travertines with special reference to laminae-orientation using index tests. , 1396; 7(2): 279-299. doi: 10.22059/geope.2017.226625.648296

The prediction of compressive strength of travertines with special reference to laminae-orientation using index tests

Geopersia
مقاله 8، دوره 7، شماره 2 - شماره پیاپی 22287825، مهر 2017، صفحه 279-299    اصل مقاله (2.52 M)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/geope.2017.226625.648296
نویسندگان
Fateme Naseri؛ Gholamreza Khanlari*
Department of Geology, Faculty of Sciences, Bu-Ali Sina University, Mahdieh Ave, Hamedan 65175-38695, Iran
چکیده
In this research, different experimental techniques have been used to determine the strength of four types of travertines, selected from Hamedan and Markazi Provinces, west and central parts of Iran respectively. For this purpose, after sample preparation and assessment of mineral properties, the selected samples were subjected to physical and mechanical tests with special reference to two major anisotropic angles (i.e. perpendicular (⊥) and parallel (∥)) between bedding/lamination planes and the major loading directions. Based on the test results, it can be concluded that the percentage/type of matrix and porosity have a more important effect on the physical and mechanical properties than the rock structure. Statistical analyses, including simple and multiple linear regressions, were applied to identify those physico-mechanical parameters that are more appropriate to predict uniaxial compressive strength (σ_(c⊥) and〖 σ〗_(c∥)) and to establish some new equations. Data analysis in simple regression shows that bulk specific gravity (saturated surface dry, SSD) and Brazilian tensile strength are the most and the least influential factors on σ_(c⊥) and〖 σ〗_(c∥), respectively. Based on multiple regression method, equations with only two parameters (a physical and a mechanical parameter) were extracted for calculating σ_(c⊥) and σ_(c∥).
کلیدواژه‌ها
Bedding plane؛ Cutting direction؛ Petrographical characteristics؛ Physico-mechanical properties؛ multiple regression
عنوان مقاله [English]
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