Multi-Factor Prediction Model for Chloride Diffusion Coefficient Considering Material Parameters and Stress Level

Abstract

Abstract: In order to overcome the shortcomings of low prediction accuracy for traditional model that cannot effectively consider the effect of material parameters and external load, a multi-factor prediction model for chloride diffusion coefficient was proposed by considering material parameters and stress level. Firstly, the influences of water-binder ratio, sand ratio, mineral admixture (fly ash, slag, silica fume) and stress level on diffusion coefficient were investigated based on 311 sets of rapid chloride migration test data. Then a multi-factor prediction model for chloride diffusion coefficient was established by using the two-phase analysis method and stepwise regression method. Finally, the effectiveness and accuracy of the prediction model were verified by comparing with traditional models and experimental data. The coefficient of determination of the model is 0.90.

Key words: concrete, chloride diffusion coefficient, material parameter, stress level, stepwise regression, prediction model

CLC Number:

TU528.01

YU Bo, HUANG Junhui, WANG Jialiang, QIN Hecheng. Multi-Factor Prediction Model for Chloride Diffusion Coefficient Considering Material Parameters and Stress Level[J]. BULLETIN OF THE CHINESE CERAMIC SOCIETY, 2022, 41(9): 3091-3099.

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