Experimental Study on Forecasting Mathematical Model of Drying Shrinkage of Recycled Aggregate Concrete

On the basis of basic law in AASHTO2007 model, the forecasting mathematical model of drying shrinkage of recycled aggregate concrete (RAC) is established by regression analysis and experimental study. The research results show that (1) with the replacement rate of RCA increases, the drying shrinkage...

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Bibliographic Details
Published in:Mathematical Problems in Engineering 2012-01, Vol.2012 (2012), p.990-1003-356
Main Authors: Guo, Yuanchen, Wang, Xue
Format: Article
Language:English
Subjects:
Accuracy
Aggregates
Cement
Civil engineering
Concrete aggregates
Concrete mixing
Concretes
Curing
Desiccants
Drying
Error analysis
Fly ash
Forecasting
Mathematical models
Reagents
Recycled
Recycled materials
Regression analysis
Regression models
Shrinkage
Studies
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Summary:On the basis of basic law in AASHTO2007 model, the forecasting mathematical model of drying shrinkage of recycled aggregate concrete (RAC) is established by regression analysis and experimental study. The research results show that (1) with the replacement rate of RCA increases, the drying shrinkage value of RAC increases; this trend is even more obvious in the early drying time. (2) The addition of fly ash can inhibit the drying shrinkage of RAC, but the effect is not very obvious. Specifically, the addition of fly ash will increase the shrinkage to some extent when the mixing amount is 20%. (3) The addition of expansive agent can obviously inhibit the shrinkage of RAC; the inhibition affection is better than that of fly ash. (4) The forecasting mathematical models of drying shrinkage of RAC established in this paper have high accuracy and rationality according to experiment validation and error analysis.
ISSN:1024-123X
1563-5147
DOI:10.1155/2012/567812