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Study on Roof Deformation and Failure Law of Close Distance Coal Seams Mining Based on Digital Image Correlation

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A Correction to this article was published on 21 May 2024

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Abstract

In order to research the laws of roof collapsing and overlaying stratum movement in close distance coal seams mining and prevent roof accidents during such mining. The close distance coal seams mining in a coal mine is used as the study subject in this study, and a similar simulation experiment is conducted. A similar simulation experiment of the close distance coal seams is seen using the digital image correlation. The evolution of roof displacement–strain in the mining process is researched, along with the roof caving features in various coal seam mining processes. The evolution law of roof stress-displacement is revealed in the mining process of close distance coal seams which provides the basis for the roof stability control in close distance coal seams. Lower coal seam mining in close distance coal seams has a larger degree of abutment pressure stress concentration and a higher level of advanced abutment pressure intensity. Greater harm is caused by lower coal seam roof strata mining than by single coal seam mining. The stope support strength design must take upper goaf influence into account. Therefore, to ensure the stope roof stability in close distance coal seams, it is necessary to implement roof pressure monitoring, stope roof’s grouting reinforcement, measures to improve the performance of hydraulic support, and roof effective control in close distance coal seams mining by using the principle of coordinated control.

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Acknowledgements

This paper was supported by the National Natural Science Foundation of China (52164002, 52164005, and 52064005), the funding from Guizhou Science and Technology Plan Project (Qianke Science Support [2021] General 399) and the China National Key R & D Program (2022YFC2904001).

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Yang, S.L., Li, Q., Yue, H. et al. Study on Roof Deformation and Failure Law of Close Distance Coal Seams Mining Based on Digital Image Correlation. Exp Tech (2024). https://doi.org/10.1007/s40799-024-00717-w

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