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BULLETIN OF THE CHINESE CERAMIC SOCIETY ›› 2026, Vol. 45 ›› Issue (6): 2011-2020.DOI: 10.16552/j.cnki.issn1001-1625.2025.1238

• Solid Waste and Eco-Materials • Previous Articles     Next Articles

Prediction Model for Autogenous Shrinkage of Concrete with Combined Incorporation of Fly Ash and Ground Granulated Blast-Furnace Slag Powder

GU Shengbin1(), LI Beixing2(), WENG Xianjie1, TIAN Shenhua2   

  1. 1.Jiangxi Provincial Transportation Engineering Group Co.,Ltd.,Nanchang 330000,China
    2.State Key Laboratory of Silicate Materials for Architectures,Wuhan University of Technology,Wuhan 430070,China
  • Received:2025-12-11 Revised:2026-02-02 Online:2026-06-15 Published:2026-07-14
  • Contact: LI Beixing

Abstract:

To accurately predict the influence of combined incorporation of fly ash (FA) and ground granulated blast-furnace slag powder (GGBS) on the early-age autogenous shrinkage behavior of concrete, this study systematically investigated the development of autogenous shrinkage in 16 concrete mixtures with total replacement levels of 20%, 30%, 40%, and 50% (mass fraction) by FA and GGBS, and FA-to-GGBS blending ratios of 3∶0, 3∶1, 3∶2, and 3∶3 (mass ratio). Based on the experimental results, a corresponding prediction model for autogenous shrinkage was established. The results indicate that when the FA-to-GGBS blending ratio is fixed, the autogenous shrinkage rate of concrete decreases with the increase in the total replacement level of mineral admixtures. Conversely, with a constant total replacement level, the autogenous shrinkage increases significantly as the proportion of GGBS rises. Grey relational analysis further reveals that the FA content is the dominant factor influencing autogenous shrinkage, with a greater impact than GGBS. Building on these findings, this study modifies the classical B4 model for concrete autogenous shrinkage by introducing a correction term Kfs to characterize the effect of combined incorporation of FA and GGBS and adopting a time-development exponent nfs related to the ultimate autogenous shrinkage. Thus, a prediction model suitable for concrete incorporating both FA and GGBS is established. Validation results demonstrate that the model predictions agree well with experimental data, providing a theoretical basis for predicting autogenous shrinkage in related engineering applications.

Key words: concrete, autogenous shrinkage, fly ash, ground granulated blast-furnace slag powder, prediction model

CLC Number: