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Mathematical Problems in Engineering
Article . 2015 . Peer-reviewed
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Mathematical Problems in Engineering
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Modelling Gas Diffusion from Breaking Coal Samples with the Discrete Element Method

Authors: Lin, Dan-Ling.; Wang, Yucang.; Guo, Wanwu.;

Modelling Gas Diffusion from Breaking Coal Samples with the Discrete Element Method

Abstract

Particle scale diffusion is implemented in the discrete element code, Esys-Particle. We focus on the question of how to calibrate the particle scale diffusion coefficient. For the regular 2D packing, theoretical relation between micro- and macrodiffusion coefficients is derived. This relation is then verified in several numerical tests where the macroscopic diffusion coefficient is determined numerically based on the half-time of a desorption scheme. To further test the coupled model, we simulate the diffusion and desorption in the circular sample. The numerical results match the analytical solution very well. An example of gas diffusion and desorption during sample crushing and fragmenting is given at the last. The current approach is the first step towards a realistic and comprehensive modelling of coal and gas outbursts.

Country
Australia
Related Organizations
Keywords

091307 Numerical Modelling and Mechanical Characterisation, 080202 Applied Discrete Mathematics, 850201 Coal Mining and Extraction, 970102 Expanding Knowledge in the Physical Sciences, 080110 Simulation and Modelling, Discrete element method -- Gas diffusion -- Modelling of coal and gas outbursts, Pure basic research, 518, 970101 Expanding Knowledge in the Mathematical Sciences, Journal Article. Refereed, Scholarly Journal

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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