Investigation of the Relationship Between Texture Coefficient and Abrasivity Properties of Granite Building Stones
محل انتشار: مجله معدن و محیط زیست، دوره: 17، شماره: 1
سال انتشار: 1405
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 97
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شناسه ملی سند علمی:
JR_JMAE-17-1_014
تاریخ نمایه سازی: 17 اسفند 1404
چکیده مقاله:
In this study, a comprehensive investigation has been done on ۱۰ different types of granite building stones from various mines in Iran. The study aims to investigate the relationship between the texture coefficient (TC) and abrasivity properties of the studied stones. Abrasivity of stones was quantified through six indices, including equivalent quartz content (EQC), rock abrasivity index (RAI), Schimazek abrasivity factor (F), Cerchar abrasivity index (CAI), building stone abrasivity index (BSAI), and the Taber wear index (Iw). Bi-variate regression analysis was applied to develop the predictive equations for relationship between TC and abrasivity indices. The investigations demonstrated that there is a direct relationship between TC and all abrasivity indices. Furthermore, TC has moderate to high relationship with abrasivity indices. After developing the equations, their accuracy was evaluated by performance criteria including determination coefficient (R۲), the normalized root mean square error (NRMSE), the variance account for (VAF), and the performance index (PI). The strongest relationship was found between TC and RAI (with R۲, VAF, NRMSE, and PI value of ۰.۸۵۰, ۰.۰۷۴, ۸۵.۳۸۶, and ۱.۶۳۰, respectively), while the weakest relationship was observed between TC and F (with R۲, NRMSE, VAF, and PI value of ۰.۴۹۱, ۰.۵۳۲, ۴۷.۶۰۵, and ۰.۴۳۵, respectively). This research demonstrates importance of the textural characteristics of stones, especially TC as a reliable index, on the abrasivity properties of granite building stones. Thus, the equations developed herein can be practically used for estimating the stone abrasivity in building stone quarrying and processing projects.
کلیدواژه ها:
نویسندگان
Ali Rezaei
Department of Mining Eng., Isfahan University of Technology, Isfahan, Iran
Ebrahim Ghasemi
Department of Mining Eng., Isfahan University of Technology, Isfahan, Iran
Ali Farhadian
Mining Group, Faculty of Eng., University of Jiroft, Kerman, Iran
Sina Ghavami
Department of Mining Eng., Isfahan University of Technology, Isfahan, Iran
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