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Cited by 2,411

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Carbon dioxide equivalent (CO2-e) emissions: A comparison between geopolymer and OPC cement concrete

Open access
Turner, Louise K., Collins, Frank G.·2013·Construction and Building Materials

Abstract

Abstract Concrete for construction has traditionally been based on an Ordinary Portland Cement (OPC) binder. Geopolymers, an alternative binder based on fly ash (a fine waste collected from the emissions liberated by coal burning power stations) that is activated by an alkaline activator, have potential to lower the significant carbon footprint of OPC concrete. This paper presents the results of comprehensive carbon footprint estimates for both geopolymer and OPC concrete, including energy expending activities associated with mining and transport of raw materials, manufacturing and concrete construction. Previous studies have shown a wide variation of reported emission estimates: the results of this study are benchmarked with data from those studies.

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Crossref · 10.1016/j.conbuildmat.2013.01.023

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Metadata

Authors
Turner, L. K., & Collins, F. G.
Venue
Construction and Building Materials
Publisher
Elsevier BV
Published
2013-06
Volume
43
Pages
125-130
ISSN
0950-0618 (ISSN-L)
OpenAlex
W2095259135
Cited by
2,411
References
2
FWCI
78.34
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Carbon dioxide equivalent (CO2-e) emissions: A comparison between geopolymer and OPC cement concrete. https://app.cochat.ai/papers/10.1016/j.conbuildmat.2013.01.023
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Turner, L. K., & Collins, F. G. (2013). Carbon dioxide equivalent (CO2-e) emissions: A comparison between geopolymer and OPC cement concrete. Construction and Building Materials. https://doi.org/10.1016/j.conbuildmat.2013.01.023

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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.