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Cited by 429

The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.

Clayey soil stabilization using geopolymer and Portland cement

Open access
Ghadir, Pooria, Ranjbar, Navid·2018·Construction and Building Materials

Abstract

Abstract This study compares the mechanical performance of clayey soil stabilization using volcanic ash (VA) based geopolymer and ordinary Portland cement (OPC). The effects of curing conditions and time, alkali activator/clay and alkali activator molarity, and VA/clay ratio are determined. The compressive strength of the untreated clayey soil specimens could be increased from 0.2 to 4 MPa and 2 to 12 MPa at the OC and DC conditions, respectively, when the soil partially replaced by 15 wt% of the binders. It is observed that geopolymer treatment is more efficient at the dry conditions (DC) while the Portland cement is superb at the wet environments (OC). This difference is associated with the role of water and pH in the kinetics of geopolymerization and the Portland cement hydration. Moreover, increasing the molarity of alkali activator and alkali activator/clay improve the compressive strength of the geopolymer treated soil. Besides, the higher energy absorption in all geopolymer specimens shows the superior ductility of this material in comparison with OPC.

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Crossref · 10.1016/j.conbuildmat.2018.07.207

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Metadata

Authors
Ghadir, P., & Ranjbar, N.
Venue
Construction and Building Materials
Publisher
Elsevier BV
Published
2018-11
Volume
188
Pages
361-371
ISSN
0950-0618 (ISSN-L)
OpenAlex
W2888659315
Cited by
429
References
49
FWCI
25.37
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Clayey soil stabilization using geopolymer and Portland cement. https://app.cochat.ai/papers/10.1016/j.conbuildmat.2018.07.207
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Ghadir, P., & Ranjbar, N. (2018). Clayey soil stabilization using geopolymer and Portland cement. Construction and Building Materials. https://doi.org/10.1016/j.conbuildmat.2018.07.207

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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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