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The Prediction of Concrete Temperature during Curing Using Regression and Artificial Neural Network
Joint Authors
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-02-27
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
Cement hydration plays a vital role in the temperature development of early-age concrete due to the heat generation.
Concrete temperature affects the workability, and its measurement is an important element in any quality control program.
In this regard, a method, which estimates the concrete temperature during curing, is very valuable.
In this paper, multivariable regression and neural network methods were used for estimating concrete temperature.
In order to achieve this purpose, ten laboratory cylindrical specimens were prepared under controlled situation, and concrete temperature was measured by thermistors existent in vibrating wire strain gauges.
Input data variables consist of time (hour), environment temperature, water to cement ratio, aggregate content, height, and specimen diameter.
Concrete temperature has been measured in ten different concrete specimens.
Nonlinear regression achieved the determined coefficient (R2) of 0.873.
By using the same input set, the artificial neural network predicted concrete temperature with higher R2 of 0.999.
The results show that artificial neural network method significantly can be used to predict concrete temperature when regression results do not have appropriate accuracy.
American Psychological Association (APA)
Najafi, Zahra& Ahangari, Kaveh. 2013. The Prediction of Concrete Temperature during Curing Using Regression and Artificial Neural Network. Journal of Engineering،Vol. 2013, no. 2013, pp.1-5.
https://search.emarefa.net/detail/BIM-510416
Modern Language Association (MLA)
Najafi, Zahra& Ahangari, Kaveh. The Prediction of Concrete Temperature during Curing Using Regression and Artificial Neural Network. Journal of Engineering No. 2013 (2013), pp.1-5.
https://search.emarefa.net/detail/BIM-510416
American Medical Association (AMA)
Najafi, Zahra& Ahangari, Kaveh. The Prediction of Concrete Temperature during Curing Using Regression and Artificial Neural Network. Journal of Engineering. 2013. Vol. 2013, no. 2013, pp.1-5.
https://search.emarefa.net/detail/BIM-510416
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-510416