A new empirical model to estimate 3-D coal mass strength

He Peng-fei, P. H.S.W. Kulatilake, Liu Dong-qiao, He Man-chao

Research output: Contribution to conferencePaper

Abstract

Estimation of the rock mass strength has been a difficult task in the rock engineering practice. This research was focused on developing a new empirical model to estimate the 3-D coal mass strength, which can capture both the scale effect and anisotropic behavior. Both a laboratory experimental scheme and a numerical modeling scheme were carried out at the 3-D level. The laboratory experiments were performed to achieve the following:(a) Firstly, the geomechanical properties for the intact coal and coal discontinuities were estimated through the laboratory geomechanical property tests; (b) Secondly, naturally existing fracture networks in the cubic coal blocks were first detected by the industrial Computed Tomography (CT) scanning technique and then quantified by the fracture tensor based methodology; (c) Thirdly, polyaxial tests were conducted on the same cubic coal blocks to obtain the JCMS values under different confining stresses. With respect to the numerical modeling, the geometric models of the jointed coal blocks were set up to simulate the laboratory polyaxial compression tests under different confining stress combinations and to obtain a JCMS data bank. Finally, a new empirical model was developed to estimate the JCMS values at the 3-D level.

Original languageEnglish (US)
StatePublished - 2018
Event2nd International Discrete Fracture Network Engineering Conference, DFNE 2018 - Seattle, United States
Duration: Jun 20 2018Jun 22 2018

Other

Other2nd International Discrete Fracture Network Engineering Conference, DFNE 2018
CountryUnited States
CitySeattle
Period6/20/186/22/18

ASJC Scopus subject areas

  • Geochemistry and Petrology
  • Geophysics

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    Peng-fei, H., Kulatilake, P. H. S. W., Dong-qiao, L., & Man-chao, H. (2018). A new empirical model to estimate 3-D coal mass strength. Paper presented at 2nd International Discrete Fracture Network Engineering Conference, DFNE 2018, Seattle, United States.