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Prediction of the Compressive Strength of Concrete Admixed with Metakaolin Using Gene Expression Programming
Joint Authors
Akin, Oluwatobi O.
Ocholi, Amana
Abejide, Olugbenga S.
Obari, Johnson A.
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-04
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
One of the problems of optimization of concrete is to formulate a mathematical equation that shows the relationship between the various constituents of concrete and its properties.
In this work, modelling of the compressive strength of concrete admixed with metakaolin was carried out using the Gene Expression Programming (GEP) algorithm.
The dataset from laboratory experimentation was used for the analysis.
The mixture proportions were made of three different water/binder ratios (0.4, 0.5, and 0.6), and the grades of concrete produced were grade M15 and M20.
The compressive strength of the concrete was determined after 28 days of curing.
The parameters used in the GEP algorithm are the input variables which include cement content, water, metakaolin content, and fine and coarse aggregate, while the response was designated as the compressive strength.
The model was trained and tested using the parameters.
The R-square value from the GEP algorithm was compared with the use of conventional stepwise regression analysis.
With a coefficient of determination (R-square value) of 0.95, the GEP algorithm has shown to be a good alternative for modelling concrete compressive strength.
American Psychological Association (APA)
Akin, Oluwatobi O.& Ocholi, Amana& Abejide, Olugbenga S.& Obari, Johnson A.. 2020. Prediction of the Compressive Strength of Concrete Admixed with Metakaolin Using Gene Expression Programming. Advances in Civil Engineering،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1125204
Modern Language Association (MLA)
Akin, Oluwatobi O.…[et al.]. Prediction of the Compressive Strength of Concrete Admixed with Metakaolin Using Gene Expression Programming. Advances in Civil Engineering No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1125204
American Medical Association (AMA)
Akin, Oluwatobi O.& Ocholi, Amana& Abejide, Olugbenga S.& Obari, Johnson A.. Prediction of the Compressive Strength of Concrete Admixed with Metakaolin Using Gene Expression Programming. Advances in Civil Engineering. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1125204
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1125204