Effect of Waste Tire Aggregate on Thermal and Strength Characteristics of Fly Ash–Based Geopolymer Composites Produced at Various Binder Contents
Publication: Journal of Materials in Civil Engineering
Volume 35, Issue 10
Abstract
The main objective of the current study is the recycle of end-of-life tires as fine aggregate in the production of fly ash–based geopolymer composites. Moreover, it aimed to improve some adverse characteristics caused by the recycled fine aggregate named crumb rubber of such composites by changing the binder content of the composite mixture. In this regard, four crumb rubber replacement levels of 10%, 20%, 30%, and 40% were designated in the production of rubberized geopolymer composites. The main mixtures were designed at a binder content of . Herein, it should be stated that in the current study, the term binder content was considered a total of precursor (aluminosilicate-rich raw material) and alkaline activator. According to the performance of the geopolymer composites, the binder content was increased to first and then . Thereby, twelve crumb rubber incorporated and three plain fly ash–based geopolymer composites were designed and produced in this study. The performance of these composites was evaluated in terms of fresh and hardened state properties. As fresh state properties, the flowability and fresh unit weight were tested while as hardened state properties, dry unit weight, compressive and splitting tensile strength, total and capillary absorption capacities, and thermal conductivity were tested. The results revealed that replacing river sand with crumb rubber remarkably influenced the characteristics of geopolymer composites. The flowability, unit weights, strength performance, and thermal conductivity of geopolymer composites decreased whereas the absorption capacity increased. Increasing binder content became a remedy for some characteristics of composites. As a consequence, it can be stated that this waste material can be used in the production of such composites but in a controlled manner.
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Data Availability Statement
All data, models, and code generated or used during the study appear in the published article.
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Received: Oct 21, 2022
Accepted: Mar 15, 2023
Published online: Jul 26, 2023
Published in print: Oct 1, 2023
Discussion open until: Dec 26, 2023
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