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Experimental Study on Forecasting Mathematical Model of Drying Shrinkage of Recycled Aggregate Concrete
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-03-19
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Guo, Yuanchen& Wang, Xue. 2012. Experimental Study on Forecasting Mathematical Model of Drying Shrinkage of Recycled Aggregate Concrete. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-1001698
Modern Language Association (MLA)
Guo, Yuanchen& Wang, Xue. Experimental Study on Forecasting Mathematical Model of Drying Shrinkage of Recycled Aggregate Concrete. Mathematical Problems in Engineering No. 2012 (2012), pp.1-14.
https://search.emarefa.net/detail/BIM-1001698
American Medical Association (AMA)
Guo, Yuanchen& Wang, Xue. Experimental Study on Forecasting Mathematical Model of Drying Shrinkage of Recycled Aggregate Concrete. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-1001698
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1001698