2014
DOI: 10.1002/2014jb011198
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Failure mechanisms in coal: Dependence on strain rate and microstructure

Abstract: The brittle coal failure behavior under various axial strain rates from 10 À3 to 10 À2 s À1 is experimentally and numerically studied. The numerical microscale finite difference model is built on the accurate X-ray microcomputed tomography images, which provides a ground-breaking and bottom-up approach to investigate the effects of microstructure on coal failure under various strain rates. Experimentally, prior to loading, the coal sample is scanned, and the three-dimensional coal structure model is constructe… Show more

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Cited by 58 publications
(32 citation statements)
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References 60 publications
(84 reference statements)
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“…Zhao et al . [] performed experimental and numerical investigations of the failure behavior of brittle coal under uniaxial compression for various loading strain rates. They reported that the strength and failure mechanisms of a coal rock mass depend on the loading strain rate and also the microstructure of the material.…”
Section: Introductionmentioning
confidence: 99%
“…Zhao et al . [] performed experimental and numerical investigations of the failure behavior of brittle coal under uniaxial compression for various loading strain rates. They reported that the strength and failure mechanisms of a coal rock mass depend on the loading strain rate and also the microstructure of the material.…”
Section: Introductionmentioning
confidence: 99%
“…The microstructures of a rock at the grain scale are usually associated with different mineral aggregations and microdefects such as microcracks, voids, and cleavage planes [Duan and Kwok, 2016;Hallbauer et al, 1973;Kranz, 1983;Olsson and Peng, 1976]. Numerous laboratory test results indicate that the strength and deformation responses and the associated microcracking behavior of rocks are to a large extent affected by the internal microstructures [Brace et al, 1966;Eberhardt et al, 1998;Fredrich et al, 1990;Martin and Chandler, 1994;Wong, 1982a;Zhao et al, 2014].…”
Section: Introductionmentioning
confidence: 99%
“…in a random and stochastically based manner. After introducing μCT, researchers can set-up numerical models 1:1 inlcuding all relevant microscopic features [30]. After μCT image processing, slices are used to visualize the distribution of various material inclusions.…”
Section: Materials and Methodsologymentioning
confidence: 99%