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    Prediction of microscale rock mechanical performance from microCT images: Heterogeneous coal as an example

    Access Status
    Fulltext not available
    Authors
    Zhang, Y.
    Zhang, Z.
    Sarmadivaleh, Mohammad
    Lebedev, Maxim
    Barifcani, Ahmed
    Iglauer, Stefan
    Date
    2017
    Type
    Conference Paper
    
    Metadata
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    Citation
    Zhang, Y. and Zhang, Z. and Sarmadivaleh, M. and Lebedev, M. and Barifcani, A. and Iglauer, S. 2017. Prediction of microscale rock mechanical performance from microCT images: Heterogeneous coal as an example, 51st US Rock Mechanics / Geomechanics Symposium, pp. 3578-3582.
    Source Title
    51st US Rock Mechanics / Geomechanics Symposium 2017
    Source Conference
    51st US Rock Mechanics / Geomechanics Symposium
    ISBN
    9781510857582
    School
    WASM: Minerals, Energy and Chemical Engineering (WASM-MECE)
    URI
    http://hdl.handle.net/20.500.11937/69120
    Collection
    • Curtin Research Publications
    Abstract

    © 2017 ARMA, American Rock Mechanics Association. The prediction of rock mechanical performance is very important as it is directly related to safety issues and geological engineering design. However, there is a lack of understanding at the micrometer scale. Thus we introduce a new method to predict micro scale rock mechanical properties based on microCT imaging, combined with nanoindentation testing and discrete element method (DEM) modelling. Essentially microCT scanning and nanoindentation testing provide the morphology and mechanical property inputs for the DEM simulation. As an example the CO2-swelling effect of a highly heterogeneous coal sample is presented, and we were able to correctly predict the internal stresses, and the failure mechanisms of the unswelling (mineral) phase, consistent with lab experiments. We thus conclude that the proposed method can accurately and efficiently predict the rock mechanical performance at microscale.

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