journal article·2025-08-10Open access

Study on the Alleviation of Mining-Induced Surface Deformation via Goaf Solid Waste Backfill Mining in a Deep Coal Mine

Shuo Liu, Meng Li, Linlin Xie, Peng Huang, Qiang Guo, Zhangjie Yin

Applied Sciences· Volume 15· Issue 16

Abstract

The deep mining of coal resources can lead to surface subsidence, thereby damaging the stability of buildings on the surface; however, this issue can be effectively mitigated through goaf backfilling with coal gangue and other solid wastes. In this study, the technical principles of goaf solid waste backfill mining are illustrated, and the surface movement and deformation patterns under different burial depths and compression rates are examined. Additionally, the monitoring and analysis of the roof subsidence and surface building conditions after goaf solid waste backfill mining are described. The results show that as the burial depth and compression rate increase, the maximum values of the surface subsidence and horizontal deformation gradually decrease. When the burial depth is between 800 and 1200 m, the design value of the compression rate for the goaf should be higher than 79%. The actual measurement results show that the maximum subsidence value of the roof after goaf backfilling is 635 mm, and the compression rate is about 80.8%, which is consistent with the theoretical design value. Hence, surface buildings are little affected by mining activities and are within the safe range for use.
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Research context

OpenAlex topics: Tailings Management and Properties · Rock Mechanics and Modeling · Geomechanics and Mining Engineering

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources, School of Mines, China University of Mining and Technology, Xuzhou 221116, China

Funding

National Natural Science Foundation of China · The Independent Research Project of State Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources, CUMT · The Natural Science Foundation of Jiangsu Province

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