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Cited by 1,604

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

3D printing using concrete extrusion: A roadmap for research

Open access
Buswell, R.A., Leal de Silva, W.R., Jones, S.Z., Dirrenberger, J.·2018·Cement and Concrete Research

Abstract

Large-scale additive manufacturing processes for construction utilise computer-controlled placement of extruded cement-based mortar to create physical objects layer-by-layer. Demonstrated applications include component manufacture and placement of in-situ walls for buildings. These applications vary the constraints on design parameters and present different technical issues for the production process. In this paper, published and new work are utilised to explore the relationship between fresh and hardened paste, mortar, and concrete material properties and how they influence the geometry of the created object. Findings are classified by construction application to create a matrix of issues that identifies the spectrum of future research exploration in this emerging field.

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Registry

Crossref · 10.1016/j.cemconres.2018.05.006

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Metadata

Authors
Buswell, R. A., Leal de Silva, W. R., Jones, S. Z., & Dirrenberger, J.
Venue
Cement and Concrete Research
Publisher
Elsevier BV
Published
2018-10
Volume
112
Pages
37-49
ISSN
0008-8846 (ISSN-L)
OpenAlex
W2808508889
Cited by
1,604
References
4
FWCI
95.26
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: 3D printing using concrete extrusion: A roadmap for research. https://app.cochat.ai/papers/10.1016/j.cemconres.2018.05.006
The paper
Buswell, R. A., Leal de Silva, W. R., Jones, S. Z., & Dirrenberger, J. (2018). 3D printing using concrete extrusion: A roadmap for research. Cement and Concrete Research. https://doi.org/10.1016/j.cemconres.2018.05.006

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.