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Optimizing sulfate and acid resistance in rubberized engineered cementitious composite with graphene oxide-pretreated crumb rubber: A response surface methodology approach

Crumb rubber (CR) pretreatment methods effectively mitigate mechanical strength loss in cementitious composites. Yet, their impact on composite durability remains underinvestigated. This study examines the effect of CR pretreatment with graphene oxide (GO) on the durability of rubberized engineered...

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Published in:Developments in the built environment 2024-04, Vol.18, p.100405, Article 100405
Main Authors: Abdulkadir, Isyaka, Mohammed, Bashar S., Woen, Ean Lee, Sing, Wong Leong, Al-Yacouby, Ahmad Mahamad
Format: Article
Language:English
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Summary:Crumb rubber (CR) pretreatment methods effectively mitigate mechanical strength loss in cementitious composites. Yet, their impact on composite durability remains underinvestigated. This study examines the effect of CR pretreatment with graphene oxide (GO) on the durability of rubberized engineered cementitious composite (RECC), employing response surface methodology (RSM) for predictive model development and optimization. Water absorption, sulfate and acid resistance, compressive strength, and the porosity using mercury intrusion porosimetry were evaluated across 16 RSM-generated mixes using five GO concentrations (GOC) (0–1 mg/mL) and three pretreated CR (PCR) replacement levels (1–5%) as input variables. Results reveal increased resistance to water absorption, expansion, weight, and strength loss in sulfate and acid media with higher GOC levels across all PCR groups. Developed response predictive models demonstrate high R2 values (53–97%). Optimization resulted in 0.73 mg/mL and 2.5% for GOC and PCR, respectively. •The effect of GO-crumb rubber (CR) pretreatment on the durability of ECC has been reported.•GO-pretreated CR outperformed untreated CR in terms of water absorption, sulfate, and acid resistance.•The degree of resistance to aggressive environments increases with increasing GO concentration.•Models for predicting durability responses were developed and successfully validated.•Optimal CR content and GO concentration levels for achieving the best composite durability performance achieved.
ISSN:2666-1659
2666-1659
DOI:10.1016/j.dibe.2024.100405