Geomechanics and Engineering

  • 제21권3호
  • /
  • Pages.301-313
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  • 2020
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  • 2005-307X(pISSN)
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  • 2092-6219(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Study on the distribution law of stress deviator below the floor of a goaf

  • Li, Zhaolong (School of Mechanics and Civil Engineering, China University of Mining & Technology (Beijing)) ;
  • Shan, Renliang (School of Mechanics and Civil Engineering, China University of Mining & Technology (Beijing)) ;
  • Wang, Chunhe (School of Mechanics and Civil Engineering, China University of Mining & Technology (Beijing)) ;
  • Yuan, Honghu (School of Mechanics and Civil Engineering, China University of Mining & Technology (Beijing)) ;
  • Wei, Yonghui (School of Mechanics and Civil Engineering, China University of Mining & Technology (Beijing))
  • 투고 : 2020.02.07
  • 심사 : 2020.03.25
  • 발행 : 2020.05.10
⟨ 이전 논문 다음 논문 ⟩

초록

In the process of mining closely spaced coal seams, the problem of roadway arrangement in lower coal seams has long been a concern. By means of mechanical model calculation and numerical simulation postprocessing, the distribution of the stress deviator below the floor of a goaf and the evolution of the stress deviator in the vertical and horizontal directions are studied under the influence of horizontal stress. The results of this theoretical study and numerical simulation show that the stress deviator decreases exponentially with increasing depth from the floor below the coal side. With the increase in the horizontal stress coefficient λ, the stress deviator concentration area shifts. The stress deviator is concentrated within 10 m below the goaf and 15 m laterally from the coal side; thus, the magnitude of the surrounding rock stress deviator should be considered when planning the construction of a roadway in this area.

키워드

과제정보

연구 과제 주관 기관 : China University of Mining & Technology (Beijing)

The research described in this paper was financially supported by the Fundamental Research Funds for Central Universities of China University of Mining & Technology (Beijing) (CN) (2010YL09).

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피인용 문헌

  1. Hoek-Brown Failure Criterion-Based Creep Constitutive Model and BP Neural Network Parameter Inversion for Soft Surrounding Rock Mass of Tunnels vol.11, pp.21, 2020, https://doi.org/10.3390/app112110033