Fractal characteristics of overburden fissures in shallow thick coal seam mining in loess gully areas

PLoS One. 2022 Sep 27;17(9):e0274209. doi: 10.1371/journal.pone.0274209. eCollection 2022.

Abstract

The problems of water scarcity and ecological fragility are common in the loess gully area. To research the distribution and evolution of the overburden fissures and quantitatively analyze them have certain theoretical and engineering significance for realizing the evaluation of overburden damage degree and safe and green mining. This paper takes the 6102 working face of Chuancao Gedan Coal Mine as the engineering background. The development law and distribution characteristics of overburden fissures caused by the mining of shallow coal seams in the loess gully area were studied by the combination of physical similarity simulation, numerical similarity simulation and fractal theory. The results show that the fractal dimension change of the overburden fissures caused by the shallow mining of coal seam groups in the loess gully area can be divided into three stages during the mining process of the working face. Repeated mining causes the activation and development of overburden fissures, the fractal dimension increases significantly, and the regularity of changes weakens. The magnitude of the stress near the working face and the fluctuation times of the stress in the goaf have an influence on the change of the fractal dimension of the overburden fissures. According to the development angle and the fractal dimension of the overburden fissures, the overburden rock above the goaf is divided into the collapse fissure area, the compaction fissure area, and the vertical fissure area. Overburden fissures develop violently in the vertical fissure area, the overburden fissures in the compaction fissure area are mostly transverse fissures, and the overburden fissures in the caving fissure area are irregular.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Coal
  • Coal Mining* / methods
  • Computer Simulation
  • Fractals*
  • Models, Theoretical

Substances

  • Coal

Grants and funding

Thanks to the National Natural Science Foundation of China(, grant number 51864036), the Program for Young Talents of Science and Technology in Universities of Inner Mongolia Autonomous Region(grant number NJYT-19-B33), and the Program for young innovative talents of “Grassland Talents” of Inner Mongolia for providing financial support to the author Jianwei Li. Thanks to the Support the Reform and Development of Higher Education-Postgraduate Education(grant number 0404062107) for providing financial support to the author Xinwei Guo. The authors express their sincere gratitude for this financial support.