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Key Factors Identification and Risk Assessment for the Stability of Deep Surrounding Rock in Coal Roadway

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  • Dongmei Huang

    (State Key Laboratory of Mining Disaster Prevention and Control Co-Founded by Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao 266590, China
    College of Mining and Safety Engineering, Shandong University of Science and Technology, Qingdao 266590, China)

  • Weijun Li

    (State Key Laboratory of Mining Disaster Prevention and Control Co-Founded by Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao 266590, China
    College of Mining and Safety Engineering, Shandong University of Science and Technology, Qingdao 266590, China)

  • Xikun Chang

    (State Key Laboratory of Mining Disaster Prevention and Control Co-Founded by Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao 266590, China
    College of Mining and Safety Engineering, Shandong University of Science and Technology, Qingdao 266590, China)

  • Yunliang Tan

    (State Key Laboratory of Mining Disaster Prevention and Control Co-Founded by Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao 266590, China
    College of Mining and Safety Engineering, Shandong University of Science and Technology, Qingdao 266590, China)

Abstract

In order to evaluate the stability of deep surrounding rock, all of the affecting factors should be theoretically identified. However, some factors have slight impacts on the stability of deep surrounding rock compared with others. To conduct an effective risk assessment, key factors should be first extracted. The analytic hierarchy process (AHP) and grey relation analysis (GRA) methods are integrated to determine the key factors. First, the AHP method is applied to sort the factors by calculating the weights of them. Seven out of fifteen factors are extracted as the key factors, which account for 80% of the weights. Further, the GCA method is used to validate the effects of these key factors by analyzing the correlation between the performance of each factor and that of the reference. Considering the influence of these key factors and experts’ judgements, the multilevel fuzzy comprehensive evaluation method is adopted to obtain the risk level of the deep surrounding rock stability. Finally, the risk assessment of the deep surrounding rock in the E-Zhuang coal mine of Chinese Xinwen Mining Area illustrates the operability of the proposed method.

Suggested Citation

  • Dongmei Huang & Weijun Li & Xikun Chang & Yunliang Tan, 2019. "Key Factors Identification and Risk Assessment for the Stability of Deep Surrounding Rock in Coal Roadway," IJERPH, MDPI, vol. 16(15), pages 1-15, August.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:15:p:2802-:d:255177
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    References listed on IDEAS

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    1. Zizheng Zhang & Xianyang Yu & Hai Wu & Min Deng, 2019. "Stability Control for Gob-Side Entry Retaining with Supercritical Retained Entry Width in Thick Coal Seam Longwall Mining," Energies, MDPI, vol. 12(7), pages 1-16, April.
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    Cited by:

    1. Chunjing Gao & Dongmei Huang & Xikun Chang & Han Xi, 2019. "Risk Analysis and Extension Assessment for the Stability of Surrounding Rock in Deep Coal Roadway," IJERPH, MDPI, vol. 16(23), pages 1-16, November.

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