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Cited by 359

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Designing more sustainable and greener self-compacting concrete

Open access
Long, Guangcheng, Gao, Yu, Xie, Youjun·2015·Construction and Building Materials

Abstract

The present paper focuses on understanding the relationship between the mixing proportion parameters of self-compacting concrete (SCC) and its environmental impact and thus developing more greener SCC . Three simple indices combining the embodied environmental impacts with engineering properties (such as strength) of SCC are proposed. And 16 SCC mixtures with different compositions are designed to quantitatively evaluate the corresponding environmental impacts of SCC by use of the proposed index. Results indicate the ecological impact index of SCC closely depends on the mixing proportions. The addition of high volume mineral admixtures not only can effectively reduce the e-CO 2 and e-resource indices but also decrease the e-energy index. Selecting a reasonable aggregate volume can help decrease the environmental impact of SCC. Employing recycled limestone sand to replace river sand will increase the e-CO 2 index and e-energy index of SCC, although it can reduce the e-resource index. Regardless of the mixing proportion parameters, the e-CO 2 , e-energy and e-resource index of SCC both decrease with the increasing compressive strength for SCCs with a compressive strength ranging from 30 to 60 MPa.

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Crossref · 10.1016/j.conbuildmat.2015.02.072

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Metadata

Authors
Long, G., Gao, Y., & Xie, Y.
Venue
Construction and Building Materials
Publisher
Elsevier BV
Published
2015-06
Volume
84
Pages
301-306
ISSN
0950-0618 (ISSN-L)
OpenAlex
W2048705579
Cited by
359
References
1
FWCI
11.01
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Designing more sustainable and greener self-compacting concrete. https://app.cochat.ai/papers/10.1016/j.conbuildmat.2015.02.072
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Long, G., Gao, Y., & Xie, Y. (2015). Designing more sustainable and greener self-compacting concrete. Construction and Building Materials. https://doi.org/10.1016/j.conbuildmat.2015.02.072

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

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