Strata Movement Prediction for Safe Recovery of Vertical Shaft Protection Coal Pillars During Backfill Mining

The safe and efficient recovery of shaft protection coal pillars is a critical issue in coal mining engineering. Backfill mining, which replaces underground coal resources with solid waste materials, provides an effective approach for controlling strata deformation and improving resource recovery. In this study, a strata movement prediction model for backfill mining was established based on elastic foundation theory and similarity transformation assumptions. Numerical simulations were conducted to investigate the evolution characteristics of strata subsidence boundaries, and the boundary constraint function of the prediction model was derived through inversion. The effects of backfill porosity on the strata subsidence range were analyzed. The results indicate that the strata subsidence boundary point exhibits a logarithmic relationship with strata burial depth. Under a backfill ratio of 90%, reducing the porosity of backfill materials can effectively decrease the subsidence range of overlying strata. The proposed strata movement prediction model was applied to an engineering case to evaluate the effectiveness of shaft protection coal pillar recovery. Results show that although the strata damage angle under backfill mining is smaller than that under caving mining, the height of the strata affected by critical damage deformation is significantly reduced. By adopting backfill mining, the required width of the ventilation shaft protection coal pillar is reduced by 301.5 m, which significantly improves the mining recovery rate.

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Publication Details

Journal
Applied Sciences
Published
2026-10-07
DOI
https://doi.org/10.3390/app16199914
Primary Topic
Geomechanics and Mining Engineering
Type
article
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Strata Movement Prediction for Safe Recovery of Vertical Shaft Protection Coal Pillars During Backfill Mining

Xiangsheng Yang, Kaikai Guo, Huaizhan Li, Guangli Guo et al.
Applied Sciences
Geomechanics and Mining Engineering
article

Strata Movement Prediction for Safe Recovery of Vertical Shaft Protection Coal Pillars During Backfill Mining

Xiangsheng Yang, Kaikai Guo, Huaizhan Li, Guangli Guo, Yajun Bao
article en

Abstract

The safe and efficient recovery of shaft protection coal pillars is a critical issue in coal mining engineering. Backfill mining, which replaces underground coal resources with solid waste materials, provides an effective approach for controlling strata deformation and improving resource recovery. In this study, a strata movement prediction model for backfill mining was established based on elastic foundation theory and similarity transformation assumptions. Numerical simulations were conducted to investigate the evolution characteristics of strata subsidence boundaries, and the boundary constraint function of the prediction model was derived through inversion. The effects of backfill porosity on the strata subsidence range were analyzed. The results indicate that the strata subsidence boundary point exhibits a logarithmic relationship with strata burial depth. Under a backfill ratio of 90%, reducing the porosity of backfill materials can effectively decrease the subsidence range of overlying strata. The proposed strata movement prediction model was applied to an engineering case to evaluate the effectiveness of shaft protection coal pillar recovery. Results show that although the strata damage angle under backfill mining is smaller than that under caving mining, the height of the strata affected by critical damage deformation is significantly reduced. By adopting backfill mining, the required width of the ventilation shaft protection coal pillar is reduced by 301.5 m, which significantly improves the mining recovery rate.

Applied SciencesVol. 16(19)
China University of Mining and Technology (CN), Soochow University (CN), Suzhou University (CN)
Openalex Percentile: Top 22%
Geomechanics and Mining Engineering
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Strata Movement Prediction for Safe Recovery of Vertical Shaft Protection Coal Pillars During Backfill Mining — Xiangsheng Yang, Kaikai Guo, et al. · Applied Sciences (2026) | TGRS Research Map | TGRS