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  5. Predicting the Hydration of Ground Granulated Blast Furnace Slag and Recycled Glass Blended Cements

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Article
en
2025

Predicting the Hydration of Ground Granulated Blast Furnace Slag and Recycled Glass Blended Cements

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en
2025
Vol 15 (12)
Vol. 15
DOI: 10.3390/app15126872

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Mark Tyrer
Mark Tyrer

Imperial College London

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Mark Tyrer
Mark G. Richardson
Niall Holmes
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Abstract

The use of recycled glass powder (RCGP) is investigated as a partial replacement for ground granulated blast furnace slag in blended CEM II/A-LL cements using thermodynamic modelling to simulate cement paste hydration at a water-to-cement (w/c) ratio of 0.5. This study allows a rapid means of examining the likely evolution of these materials over the first two to three years, allowing experimental work to focus on promising formulations. A comparison is made between the evolving solid phase and solution chemistries of four materials: a standard Portland-limestone (CEM II/A-LL), a ‘control’ blend, comprising equal quantities of CEM II/A-LL with GGBS and two novel blended cements containing RCGP. These represent 15% replacement (by mass) of GGBS by RCGP blended with either 40% or 60% CEM II/A-LL. The simulations were performed using the code HYDCEM, a cement hydration simulator, which calls on the thermodynamic model PHREEQC to sequentially simulate the evolution of the four cements. The results suggest that partial replacement of GGBS by 15% RCGP results in no significant change in system chemistry. The partial replacement of cementitious slag by waste container glass provides a route by which this material can be diverted from the landfill inventory, and the mass-balance and energy balance implications will be reported elsewhere.

How to cite this publication

Mark Tyrer, Mark G. Richardson, Niall Holmes, John Newell, Marcus Yio, Hong Wong (2025). Predicting the Hydration of Ground Granulated Blast Furnace Slag and Recycled Glass Blended Cements. , 15(12), DOI: https://doi.org/10.3390/app15126872.

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Publication Details

Type

Article

Year

2025

Authors

6

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.3390/app15126872

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