Geomechanics and Engineering

  • 제20권2호
  • /
  • Pages.113-120
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  • 2020
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  • 2005-307X(pISSN)
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  • 2092-6219(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Experimental investigation on multi-parameter classification predicting degradation model for rock failure using Bayesian method

  • Wang, Chunlai (School of Energy and Mining Engineering, China University of Mining and Technology Beijing) ;
  • Li, Changfeng (School of Energy and Mining Engineering, China University of Mining and Technology Beijing) ;
  • Chen, Zeng (School of Energy and Mining Engineering, China University of Mining and Technology Beijing) ;
  • Liao, Zefeng (School of Energy and Mining Engineering, China University of Mining and Technology Beijing) ;
  • Zhao, Guangming (School of Energy and Safety Engineering, Anhui University of Science and Technology) ;
  • Shi, Feng (School of Energy and Mining Engineering, China University of Mining and Technology Beijing) ;
  • Yu, Weijian (School of Resource and Environment and Safety Engineering, Hunan University of Science and Technology)
  • 투고 : 2019.02.11
  • 심사 : 2020.01.04
  • 발행 : 2020.01.25
⟨ 이전 논문 다음 논문 ⟩

초록

Rock damage is the main cause of accidents in underground engineering. It is difficult to predict rock damage accurately by using only one parameter. In this study, a rock failure prediction model was established by using stress, energy, and damage. The prediction level was divided into three levels according to the ratio of the damage threshold stress to the peak stress. A classification predicting model was established, including the stress, energy, damage and AE impact rate using Bayesian method. Results show that the model is good practicability and effectiveness in predicting the degree of rock failure. On the basis of this, a multi-parameter classification predicting deterioration model of rock failure was established. The results provide a new idea for classifying and predicting rockburst.

키워드

과제정보

연구 과제 주관 기관 : National Natural Science Foundation of China, Central Universities

We would like to thank the National Natural Science Foundation of China (No. 51574246), the National Key Research and Development Program of China (No. 2017YFC0804201), and Fundamental Research Funds for the Central Universities (No. 2011QZ01).

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피인용 문헌

  1. Theoretical and Experimental Study of the Effects of Impact Drilling Parameters on the Properties of Surrounding Rock Damage vol.2020, 2020, https://doi.org/10.1155/2020/8865619