Review of Expansion Prediction Models for Alkali-Silica Reaction of Concrete

Abstract

Abstract: This paper reviews the research status of the expansion prediction model of alkali-silica reaction (ASR). The damage caused by ASR to concrete structure is difficult to repair and the repair cost is high. To deal with this kind of durability problem, prevention is the main, and remedial is the secondary. Accurate prediction model can evaluate the real-time state of concrete structure and help to inhibit the ASR in concrete. This paper first summarizes the process and mechanism of ASR in concrete, and then introduces the research status of expansion prediction model of ASR in detail. Multiple factors such as reactant content, temperature, humidity, cementitious material composition and aggregate size should be considered in the process of ASR modeling. The model of ASR mainly includes theoretical model, structural model (macro model) and material model (meso model). The theoretical model is mainly used to describe the chemical mechanism of ASR and predict the worst particle size of aggregate, but the model is only applicable to specific types of aggregate; the material model explains the deterioration mechanism of concrete affected by ASR at the material level, but ignores the effects of concrete shrinkage and creep; the structural model is usually used to simulate and predict the mechanical behavior of concrete structures under ASR, but the chemical process of alkali-silica expansion and the effect of ion diffusion on ASR expansion are not fully considered.

Key words: concrete, durability, concrete structure, alkali-silica reaction, expansion prediction model

CLC Number:

TU528.04

GONG Qingnan, WANG Dehui. Review of Expansion Prediction Models for Alkali-Silica Reaction of Concrete[J]. BULLETIN OF THE CHINESE CERAMIC SOCIETY, 2021, 40(12): 3891-3902.

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