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The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

A review of discrete modeling techniques for fracturing processes in discontinuous rock masses

Open access
Lisjak, A., Grasselli, G.·2014·Journal of Rock Mechanics and Geotechnical Engineering

Abstract

The goal of this review paper is to provide a summary of selected discrete element and hybrid finite–discrete element modeling techniques that have emerged in the field of rock mechanics as simulation tools for fracturing processes in rocks and rock masses. The fundamental principles of each computer code are illustrated with particular emphasis on the approach specifically adopted to simulate fracture nucleation and propagation and to account for the presence of rock mass discontinuities. This description is accompanied by a brief review of application studies focusing on laboratory-scale models of rock failure processes and on the simulation of damage development around underground excavations.

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Crossref · 10.1016/j.jrmge.2013.12.007

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Metadata

Authors
Lisjak, A., & Grasselli, G.
Venue
Journal of Rock Mechanics and Geotechnical Engineering
Publisher
Elsevier BV
Published
2014-08
Volume
6
Issue
4
Pages
301-314
ISSN
1674-7755 (ISSN-L)
OpenAlex
W2004030340
Cited by
591
References
39
FWCI
28.96
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: A review of discrete modeling techniques for fracturing processes in discontinuous rock masses. https://app.cochat.ai/papers/10.1016/j.jrmge.2013.12.007
The paper
Lisjak, A., & Grasselli, G. (2014). A review of discrete modeling techniques for fracturing processes in discontinuous rock masses. Journal of Rock Mechanics and Geotechnical Engineering. https://doi.org/10.1016/j.jrmge.2013.12.007

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.