Deformation response of roof in solid backfilling coal mining based on viscoelastic properties of waste gangue

International Journal of Mining Science and Technology

Meng Li¹  Jixiong Zhang²  Anthony John Spencer Spearing²  Shiwei Liu³  Peng Huang⁴  Xingjie Yan⁴ 

[1] Corresponding author.;State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Xuzhou 221116, China;School of Mathematics, China University of Mining and Technology, Xuzhou 221116, China;School of Mines, China University of Mining and Technology, Xuzhou 221116, China;

关键词: SBM;    Fractional order;    Thin plate;    Time factor;    Viscoelastic foundation;    Roof deflection and bending moment;   

DOI  :  

来源: DOAJ

【 摘 要 】

Solid backfill mining (SBM) is a form of green mining, the core of which is to control and minimize the deformation and movement of strata above longwall coal mines. Establishing a mechanical model that can reliably describe roof deformation by considering the viscoelastic properties of waste gangue is important as it assists in improving mine designs and reducing the environmental impact on the surface. In this paper, the time-dependent deformation characteristics of gangue under different stress levels were obtained by using lateral confinement compression, that reliably represents the compaction of goaf. The viscoelastic foundation model for gangue mechanical response is different from the traditionally used elastic foundation model, as it considers the time factor and viscoelasticity. A mechanical model using a thin plate on a fractional viscoelastic foundation was established, and the roof deflection, bending moment, time-dependent, viscous and other characteristics of SBM were included and analyzed. Compared with the existing elastic foundation model, the proposed fractional order viscoelastic foundation model has higher accuracy with laboratory data. The plate deflection increases by 50.9% and the bending moment increases by 37.9% after 100 days, which the elastic model would not have been able to predict.

【 授权许可】

Unknown