Research on the correction of the prediction model for the expansion rate of concrete alkali-silica reaction
To establish an accurate and feasible prediction model for the Alkali-silica Reaction expansion rate of concrete prisms,a fitting regression method was used to determine the correction parameters of the introduced model based on the deviation between the predicted values and the measured values of the power function model,hyperbolic function model,and composite index model.The power function model and hyperbolic function model were then corrected,and the accuracy and feasibility of the correction method were ultimately evaluated.The research results indicate that through regression analysis of the 180 d age expansion rate of two sets of concrete mix proportions,the composite exponential function model has better consistency between the predicted expansion rate values and the measured values compared to the power function model and the hyperbolic function model.The fitted regression correlation coefficients of the corrected power function model and hyperbolic function model have been improved.The model correction method used has a certain degree of accuracy and feasibility.The overall compliance of the power function correction model is better than the other model,so it is recommended to prioritize using the power function correction model when using prediction models.