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A Comprehensive Method for Subsidence Prediction on Two-Seam Longwall Mining

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  • Bin Zhang

    (School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China
    Key Laboratory of Deep Geodrilling Technology, Ministry of Natural Resources, Beijing 100083, China)

  • Jiacheng Ye

    (School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China
    Key Laboratory of Deep Geodrilling Technology, Ministry of Natural Resources, Beijing 100083, China)

  • Zhongjian Zhang

    (School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China
    Key Laboratory of Deep Geodrilling Technology, Ministry of Natural Resources, Beijing 100083, China)

  • Liang Xu

    (School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China
    Key Laboratory of Deep Geodrilling Technology, Ministry of Natural Resources, Beijing 100083, China)

  • Nengxiong Xu

    (School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China
    Key Laboratory of Deep Geodrilling Technology, Ministry of Natural Resources, Beijing 100083, China)

Abstract

The purpose of mining subsidence prediction is to establish a reliable assessment for surface subsidence resulting from underground mining. In this study, a new method for predicting subsidence in two-seam mining is proposed. First, the surface subsidence due to mining the upper seam is monitored. Then, taking the subsidence data as indicators, the optimal mechanical parameters of overlying strata can be obtained by orthogonal experimental design and inverse analysis of numerical simulation. Finally, further subsidence is calculated and predicted by the numerical model. A case of two-seam underground mining is studied using this methodology. This coal mine is located in the Dongsheng coal field in Inner Mongolia, China. Based on GPS surface subsidence monitoring and parameter inversion, the subsidence induced by two-seam mining is estimated and predicted. This study shows that the ratio of the height of overlying strata to mining thickness (H/M), mining configuration and adjacent mining have a significant effect on the surface subsidence caused by two-seam mining. By parameter inversion, the proposed optimal parameters can be applied to predict the subsidence of a nearby mine with similar stratigraphic conditions. Furthermore, this methodology can also be used to predict the subsidence caused by mining of more than two seams.

Suggested Citation

  • Bin Zhang & Jiacheng Ye & Zhongjian Zhang & Liang Xu & Nengxiong Xu, 2019. "A Comprehensive Method for Subsidence Prediction on Two-Seam Longwall Mining," Energies, MDPI, vol. 12(16), pages 1-18, August.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:16:p:3139-:d:257967
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    References listed on IDEAS

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    1. Qiang Sun & Jixiong Zhang & Qiang Zhang & Xu Zhao, 2017. "Analysis and Prevention of Geo-Environmental Hazards with High-Intensive Coal Mining: A Case Study in China’s Western Eco-Environment Frangible Area," Energies, MDPI, vol. 10(6), pages 1-15, June.
    2. Qingxiang Huang & Jian Cao, 2019. "Research on Coal Pillar Malposition Distance Based on Coupling Control of Three-Field in Shallow Buried Closely Spaced Multi-Seam Mining, China," Energies, MDPI, vol. 12(3), pages 1-17, January.
    3. Xiaowei Feng & Nong Zhang & Lianyuan Gong & Fei Xue & Xigui Zheng, 2015. "Application of a Backfilling Method in Coal Mining to Realise an Ecologically Sensitive “Black Gold” Industry," Energies, MDPI, vol. 8(5), pages 1-12, April.
    4. Lei Nie & Min Zhang & Heqing Jian, 2013. "Analysis of surface subsidence mechanism and regularity under the influence of seism and fault," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 66(2), pages 773-780, March.
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    Cited by:

    1. Piotr Strzałkowski, 2022. "Predicting Mining Areas Deformations under the Condition of High Strength and Depth of Cover," Energies, MDPI, vol. 15(13), pages 1-17, June.
    2. Bingchao Zhao & Yaxin Guo & Xuwei Mao & Di Zhai & Defu Zhu & Yuming Huo & Zedong Sun & Jingbin Wang, 2022. "Prediction Method for Surface Subsidence of Coal Seam Mining in Loess Donga Based on the Probability Integration Model," Energies, MDPI, vol. 15(6), pages 1-21, March.
    3. André Vervoort, 2020. "The Time Duration of the Effects of Total Extraction Mining Methods on Surface Movement," Energies, MDPI, vol. 13(16), pages 1-12, August.

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