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Impact of particle size of fly ash on the early compressive strength of concrete: Experimental investigation and modelling.

Authors :
Cui, Yunpeng
Wang, Licheng
Liu, Jun
Liu, Runqing
Pang, Bo
Source :
Construction & Building Materials. Mar2022, Vol. 323, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

• Hydration degrees of the concrete with gap-graded size fly ash were calculated. • A primary mathematical model was established and verified. • Accuracy of the model was improved by calculation error correction. Fly ash (FA) was commonly used for admixture in concrete to change the durability and workability of concrete due to its dilution effect, enhanced pozzolanic reaction effect, nucleation effect and physical filling effect. The efficient utilization of FA based on particle size has now become a hot research topic at present. In this work, FA particles with gap-graded sizes were prepared by sieving method and then prepared for concrete mixing. The hydration heat, compressive strength and pore structure of concrete were studied using isothermal calorimetry, mercury intrusion porosimetry (MIP) analysis. Hydration degrees of the concrete with gap-graded FA particles were calculated, and a primary mathematical model was tentatively established and verified according to the particle sizes of FA and early compressive strength (7 days) of concrete based on Neville's theory, where the hydration degree was used as an intermediate variable. However, the mathematical model can just roughly reflect the relationship between FA particle sizes and the early compressive strength of concrete due to the lack of consideration of porosity in Neville's theory. Therefore, to improve the accuracy of the model, calculation error of the model with pore characteristic parameters were used as correction coefficients. The calculation error was significantly reduced from 30 ~70% to 3~17%. The modified model was proved to be effective to predict the early compressive strength of concrete prepared with gap-graded sizes of FA. It is of great significance to the prediction of concrete strength and the efficient utilization of FA. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09500618
Volume :
323
Database :
Academic Search Index
Journal :
Construction & Building Materials
Publication Type :
Academic Journal
Accession number :
155340715
Full Text :
https://doi.org/10.1016/j.conbuildmat.2022.126444