Optimization of Slurry Mix Ratio of Alkali-activated Materials for Recycled Aggregate Modification
There are micro-cracks and residual mortar on the surface of recycled aggregate,which leads to poor strength of re-cycled concrete prepared from it,so it needs to be modified.In this paper,the alkali-activated material slurry is applied to modify the recycled aggregate,and the influence of the interaction of different components in the alkali-activated material slurry on the strength of recycled concrete is studied,and the mix ratio of the slurry is optimized.By optimizing the design of ex-periments with Box Behnken in the response surface design method(RSM),a multivariate nonlinear regression model was established with the ratio of slag powder to fly ash,the amount of cement clinker,and the amount of chloride salt as varia-bles,and the strength of recycled concrete as the response.Based on the response surface database,a BP-GA high-preci-sion prediction optimization model is constructed using BP neural network and genetic algorithm.The results are as follows.The interaction between the amount of cement clinker and the amount of chloride salt in the alkali activated material slurry used for the modification of recycled aggregate slurry has the most significant impact on the performance of recycled con-crete.When optimizing the slurry mix ratio using response surface methodology,the relative error accuracy is controlled to 4.00%.When the BP-GA model is used for prediction and optimization,the relative error accuracy is controlled to 0.78%,and the high-precision optimization of the slurry mix ratio of the alkali-activated material for slurry modification is realized.
recycled aggregateslurry modificationalkali-activated material slurryresponse surfaceBP neural networkgenetic algorithm
万方数据
维普
