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Optimisation and Prediction of Fresh Ultra-High-Performance Concrete Properties Enhanced with Nanosilica
Optimisation and Prediction of Fresh Ultra-High-Performance Concrete Properties Enhanced with Nanosilica
title
The use of high chemical admixture dosages in ultra-high-performance concrete (UHPC) mixtures to achieve adequate water demand can slow down early cement hydration and prolong the setting time. In this ______, the effects of nanosilica (Ns) with high chemical admixture dosages on the rheological properties of UHPC was investigated. A factorial design approach was employed to predict and optimise the Ns content, water-binder ratio (W/B), and sand-binder (s/b) ratio to obtain the best flowability, setting time, and compressive strength. This ______ represents an attempt to modelling and optimise eighteen U.
The use of high chemical admixture dosages in ultra-high-performance concrete (UHPC) mixtures to achieve adequate water demand can slow down early cement hydration and prolong the setting time. In this ______, the effects of nanosilica (Ns) with high chemical admixture dosages on the rheological properties of UHPC was investigated. A factorial design approach was employed to predict and optimise the Ns content, water-binder ratio (W/B), and sand-binder (s/b) ratio to obtain the best flowability, setting time, and compressive strength. This ______ represents an attempt to modelling and optimise eighteen U.
study
Khaldon Kasim Aswed1, Maan S. Hassan2* and Hussein Al-Quraishi3 Received 6 September 2021, accepted 26 January 2022 doi:10.3151/jact.20.103
Khaldon Kasim Aswed1, Maan S. Hassan2* and Hussein Al-Quraishi3 Received 6 September 2021, accepted 26 January 2022 doi:10.3151/jact.20.103
authors
Copyright © 2022 Japan Concrete Institute 103 Scientific paper
Copyright © 2022 Japan Concrete Institute 103 Scientific paper
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