基于灰色建模的再生混凝土碳化深度预测研究  

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

作　　者：王兵[1] 王思源[1] 邵红才[1] 

机构地区：[1]扬州职业大学土木工程学院,扬州225009

出　　处：《科学技术与工程》2013年第4期1083-1086,共4页Science Technology and Engineering

基　　金：扬州市科技计划项目(YZ2010163);2012江苏省教育厅产业化推广项目资助

摘　　要：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。Based on available achievements on carbonation test data, the model of carbonation depth for recy- cled concrete considering water-binder（ mw/mb ） , 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-up- dating gray model is the best for recycled concrete carbonation depth prediction. Carbonation depth gray model pre- diction 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.

关 键 词：再生混凝土 灰色模型 同条件碳化试件 碳化深度预测 

分 类 号：TU528.573.9[建筑科学—建筑技术科学]