Radwan, Mohammed K. H. and Onn, Chiu Chuen and Mo, Kim Hung and Yap, Soon Poh and Chin, Ren Jie and Lai, Sai Hin (2022) Sustainable ternary cement blends with high-volume ground granulated blast furnace slag-fly ash. Environment Development and Sustainability, 24 (4). pp. 4751-4785. ISSN 1387-585X, DOI https://doi.org/10.1007/s10668-021-01633-4.
Full text not available from this repository.Abstract
Coal fly ash and granulated ground blast furnace slag (GGBS) are more widely used as supplementary cementitious materials in cement production. This study investigates the influence of high-volume ordinary Portland cement (OPC) replacement with fly ash and/or GGBS on the flow, compressive strength and environmental impacts of the resulting binary and ternary blends. Experimental results showed that the use of ternary blends enhanced the flow characteristics, specifically with the incorporation of 20% to 30% fly ash. Overall, partially replacing OPC in the ternary and binary blends reduced the early-age compressive strength, while an improvement to the later-age strength was observed. Nevertheless, beyond 28 days, the inclusion of 20% and 30% of fly ash in the ternary blends exhibited the highest compressive strength. The results from life cycle assessment (LCA) revealed that the OPC is the key contributor to the environmental impact where 50% and 70% OPC replacement reduced on average 44% and 61% of the total impacts, respectively, regardless of the blending system. As such, effectively the eco-mechanical performance of blends was improved. The 70% ternary blends gave superior eco-mechanical performance (lowest GWP/strength ratio) in the presence of 10% and 20% of fly ash. This study also showed that the artificial neural network model can be developed and adequately used to predict the properties of the OPC blends (i.e. eco-mechanical performance). GRAPHICS] .
| Item Type: | Article |
|---|---|
| Funders: | Universiti Malaya [Grant No: IIRG002C-2020IISS] |
| Uncontrolled Keywords: | Eco-friendly cement; Ternary cement; Supplementary cementitious material; Life cycle assessment (LCA); Eco-mechanical; Artificial neural network |
| Subjects: | G Geography. Anthropology. Recreation > GE Environmental Sciences |
| Divisions: | Faculty of Engineering > Department of Civil Engineering |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 07 Oct 2023 04:48 |
| Last Modified: | 07 Oct 2023 04:48 |
| URI: | http://eprints.um.edu.my/id/eprint/42444 |
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