Abstract

Compared with ordinary concrete, foamed concrete has the advantages of light weight, high fluidity, good thermal and sound insulation properties. It has been initially applied in the construction industry. As the most basic research content of foamed concrete, the strength prediction model has received widespread attention from scholars. In this paper, the existing foamed concrete strength prediction models were summarized. The development status of the traditional empirical model based on theory or experiment and the artificial intelligence model based on computer technology were analyzed, and the advantages and disadvantages of each model were described comprehensively. The following conclusions can be drawn: ①Porosity is an important factor affecting the density and compressive strength of foamed concrete. Considering pore structure and volume composition will be more convenient and accurate to predict the strength. ② As for gel-space ratio model, considering the contribution of different hydration products produced by the cementitious materials to the strength is helpful to improve the accuracy of the prediction model. ③ The artificial intelligence model overcomes the shortcomings of less factors in the empirical model and large amount of experiments with high cost, which makes the strength prediction more effective and precise. This paper provides a train of thought for further research on the strength prediction model of foamed concrete. The development of foamed concrete strength prediction model can provide theoretical guidance for the design of foamed concrete, and is of great significance for promoting the application of foamed concrete in various occasions.

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