Improvement of coal mine roof rating classification using fuzzy type-2 | ||
| Journal of Mining and Environment | ||
| مقاله 12، دوره 9، شماره 3، مهر 2018، صفحه 691-701 اصل مقاله (1.11 M) | ||
| نوع مقاله: Case Study | ||
| شناسه دیجیتال (DOI): 10.22044/jme.2018.6736.1494 | ||
| نویسندگان | ||
| R. Rafiee* 1؛ A. Azarfar2 | ||
| 1School of Mining, Petroleum & Geophysics Engineering, Shahrood University of Technology, Shahrood, Iran | ||
| 2Faculty of Electrical and Computer Engineering, Shahrood Branch, Islamic Azad University, Shahrood, Iran | ||
| چکیده | ||
| One of the main concerns of an underground coal mining engineer is the safety and stability of the mine. One way that the safety and stability can be ensured is to know and understand the coal mine geology and how it reacts to the mining process. One technique that has shown a lot of success in the coal mining industry for geologic technical evaluation purposes is the coal mine roof rating (CMRR). The CMRR classification is based on geotechnical data taken from the immediate roof layers within the mine. Since the uncertainty exists in geotechnical data, and CMRR process depends on the expert’s idea implicitly, the final value may be inaccurate. In this paper, the fuzzy type 2 is used to overcome this uncertainty. To design the fuzzy system for calculating the CMRR, only quantitative variables (UCS, spacing, and persistence) are considered as fuzzy inputs. Finally, the scores of CMRR and FCMRR for four units of Riccall mine are compared. | ||
| کلیدواژهها | ||
| CMRR؛ Fuzzy Type-2؛ Coal Mines؛ FCMRR | ||
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آمار تعداد مشاهده مقاله: 540 تعداد دریافت فایل اصل مقاله: 544 |
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