基于灰色建模的再生混凝土碳化深度预测研究

在现有试验研究成果基础上，采用灰色模型，考虑水灰比、水泥用量和矿物掺和料三种因素，对再生混凝土碳化深度建模研究。研究表明灰色模型可以用于再生混凝土碳化深度预测；新陈代谢模型预测准确性最好。制作同条件碳化试件，获取碳化深度实测数据，采用灰色模型预测碳化深度，是一种实用的再生混凝土碳化深度预测方法。

Research on Carbonation Depth Prediction of Recycled Concrete Based on Gray Model

Based on available achievements on carbonation test data, the model of carbonation depth for recycled concrete considering water-binder( ), cement content, the kinds of mineral admixture was studied by gray model. The results show that gray model can be used to forecast recycled concrete carbonation depth; self-updating gray model is the best for recycled concrete carbonation depth prediction. Carbonation depth gray model prediction can be realized by making same condition Carbonization Specimen and obtaining carbonation depth measured data, which is practical method for forecasting recycled concrete carbonation depth.