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Cited by 560

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Discrete Element Modeling of Masonry Structures

Lemos, José V.·2007·International Journal of Architectural Heritage

Abstract

Masonry structures are represented by discrete element models as assemblies of blocks or particles, an idealization of their discontinuous nature that governs the mechanical behavior. This ‘discontinuum’ approach, an alternative to modeling masonry as a homogenized continuum, is particularly suited for detailed models used in fundamental research and the interpretation of experiments. Computational developments have allowed these techniques to be progressively applied in engineering practice, namely in the failure analysis of structural components and larger structures, under static or earthquake loading. A review is presented of the main models based on the discrete element and related numerical techniques that have been proposed for the analysis of masonry. The essential assumptions adopted by these models and numerical implementation issues are discussed. Differences between available models are illustrated by applications to various masonry problems that are very effectively analyzed by discrete elements.

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Metadata

Authors
Lemos, J. V.
Venue
International Journal of Architectural Heritage
Published
2007-05-31
Volume
1
Issue
2
Pages
190-213
ISSN
  • 1558-3058 (ISSN-L)
  • 1558-3066
OpenAlex
W2090163651
Cited by
560
References
10
FWCI
18.02
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Discrete Element Modeling of Masonry Structures. https://app.cochat.ai/papers/10.1080/15583050601176868
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Lemos, J. V. (2007). Discrete Element Modeling of Masonry Structures. International Journal of Architectural Heritage. https://doi.org/10.1080/15583050601176868

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.