Development of a Fuzzy Classification System to Evaluate the Quality of Coal Mines Roof (Case Study: Eastern Alborz Coal Mines)

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MIKAEIL REZA; ATAEI MOHAMMAD; Javanshir Giv Mohammad; Ghadernejad Saleh; Jafarpour Amir

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Journal: JOURNAL OF ANALYTICAL AND NUMERICAL METHODS IN MINING ENGINEERING Year:2019 | Volume:9 | Issue:20 Page(s): 1-13

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Title

Development of a Fuzzy Classification System to Evaluate the Quality of Coal Mines Roof (Case Study: Eastern Alborz Coal Mines)

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Keywords

Coal

longwall method

quality of roof rock

fuzzy classification system

Abstract

Summary: The longwall method is the most commonly method used in extraction of Coal layers. The mining review records shows that the majority of the dangers of Coal underground mines related to the sudden and uncontrolled roof fall-out of the stopes. Predicting the behavior and the ability to destroy the rock of roof is very important for the successful execution of longwall method and reduce its risks. In this study, we will present a new fuzzy classification system by using the theory of fuzzy sets and fuzzy multi-criteria approach to evaluate the roof quality of the Coal mines. Introduction: In the first step, 8 parameters were selected as effective factors in the classification system. This selection was performed after reviewing the parameters affecting the roof quality of Coal mines. The parameters include: Uniaxial Compressive Strength (UCS), Brazilian Tensile Strength (BTS), moisture sensitivity, spacing and continuity of discontinuities, thickness of layers, joints slope and difference of stopes along and critical joints. Methodology and Approaches: Then, fuzzy classification system was present after determining the parameters weight. The fuzzy classification system can evaluate and categorize the roof quality of Coal mines. The classification is qualitative rankings and classified the quality of roofs in 3 classes (good, middle and poor). Results and Conclusions: In order to evaluate and fuzzy classification system performance were evaluated data related to 15 stopes in Eastern Alborz Coal mines. The results of this study show that we can evaluate the quality of the roof rock with fuzzy classification system. So that the evaluation is high reliability in classification of the Coal mines roofs.

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APA: Copy

MIKAEIL, REZA, ATAEI, MOHAMMAD, Javanshir Giv, Mohammad, Ghadernejad, Saleh, & Jafarpour, Amir. (2019). Development of a Fuzzy Classification System to Evaluate the Quality of Coal Mines Roof (Case Study: Eastern Alborz Coal Mines). JOURNAL OF ANALYTICAL AND NUMERICAL METHODS IN MINING ENGINEERING, 9(20 ), 1-13. SID. https://sid.ir/paper/266061/en

Vancouver: Copy

MIKAEIL REZA, ATAEI MOHAMMAD, Javanshir Giv Mohammad, Ghadernejad Saleh, Jafarpour Amir. Development of a Fuzzy Classification System to Evaluate the Quality of Coal Mines Roof (Case Study: Eastern Alborz Coal Mines). JOURNAL OF ANALYTICAL AND NUMERICAL METHODS IN MINING ENGINEERING[Internet]. 2019;9(20 ):1-13. Available from: https://sid.ir/paper/266061/en

IEEE: Copy

REZA MIKAEIL, MOHAMMAD ATAEI, Mohammad Javanshir Giv, Saleh Ghadernejad, and Amir Jafarpour, “Development of a Fuzzy Classification System to Evaluate the Quality of Coal Mines Roof (Case Study: Eastern Alborz Coal Mines),” JOURNAL OF ANALYTICAL AND NUMERICAL METHODS IN MINING ENGINEERING, vol. 9, no. 20 , pp. 1–13, 2019, [Online]. Available: https://sid.ir/paper/266061/en

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