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Genetic programming
and orthogonal least squares: a hybrid approach to modeling
the compressive strength of CFRP-confined concrete
cylinders
Amir Hossein Gandomi, Amir Hossein Alavi, Parvin Arjmandi, Alireza Aghaeifar and Reza Seyednour |
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Vol. 5 (2010), No. 5, 735–753
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Abstract |
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The main objective of this paper is to apply genetic programming (GP) with an orthogonal least squares (OLS) algorithm to derive a predictive model for the compressive strength of carbon fiber-reinforced plastic (CFRP) confined concrete cylinders. The GP/OLS model was developed based on experimental results obtained from the literature. Traditional GP-based and least squares regression analyses were performed using the same variables and data sets to benchmark the GP/OLS model. A subsequent parametric analysis was carried out and the trends of the results were confirmed via previous laboratory studies. The results indicate that the proposed formula can predict the ultimate compressive strength of concrete cylinders with an acceptable level of accuracy. The GP/OLS results are more accurate than those obtained using GP, regression, or several CFRP confinement models found in the literature. The GP/OLS-based formula is simple and straightforward, and provides a valuable tool for analysis. |
Keywords
genetic programming, orthogonal least squares, CFRP
confinement, concrete compressive strength, formulation
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Milestones
Received: 10 March 2009
Revised: 17 November 2009
Accepted: 31 March 2010
Published: 3 December 2010
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Authors |
| Amir Hossein Gandomi | |
| College of Civil Engineering Tafresh University Tafresh Iran |
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| Amir Hossein Alavi | |
| School of Civil Engineering Iran University of Science and Technology Tehran Iran |
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| Parvin Arjmandi | |
| College of Civil Engineering Tafresh University Tafresh Iran |
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| Alireza Aghaeifar | |
| Department of Civil
Engineering Islamic Azad University Kashmar Branch Kashmar Iran |
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| Reza Seyednour | |
| Department of Research University of Social Welfare and Rehabilitation Sciences Tehran Iran |
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