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International Journal of Rock Mechanics and Mining Sciences
Article . 2011 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Discrete element simulation of rock cutting

Authors: Rojek, Jerzy; Oñate, Eugenio; Labra, Carlos; Kargl, H;

Discrete element simulation of rock cutting

Abstract

This paper presents numerical modelling of rock cutting processes. The model consists of a tool–rock system. The rock is modelled using the discrete element method, which is suitable to study problems of multiple material fracturing such as those involved in rock cutting. Both 2D and 3D models are considered in this work. The paper presents a brief overview of the theoretical formulation and calibration of the discrete element model by a methodology combining the dimensional analysis with simulation of the unconfined compressive strength (UCS) and indirect tension (Brazilian) tests. The rock cutting process with roadheader picks, which is typical for underground excavation, has been simulated. The results of the 2D and 3D analyses have been compared with one another, and numerical results have been compared with the available experimental data.

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Keywords

Engineering, Manufacturing, Engineering, Mechanical, Engineering, Civil, Engineering, Industrial, Engineering, Multidisciplinary, Engineering, Ocean, Computer Science, Software Engineering, Engineering, Aerospace, Engineering, Biomedical, Engineering, Marine

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    194
    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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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!
194
Top 1%
Top 1%
Top 10%
Green
hybrid