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Formulation of elastic modulus of concrete using linear genetic programming

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Abstract

This paper proposes a novel approach for the formulation of elastic modulus of both normal-strength concrete (NSC) and high-strength concrete (HSC) using a variant of genetic programming (GP), namely linear genetic programming (LGP). LGP-based models relate the modulus of elasticity of NSC and HSC to the compressive strength, as similarly presented in several codes of practice. The models are developed based on experimental results collected from the literature. A subsequent parametric analysis is further carried out to evaluate the sensitivity of the elastic modulus to the compressive strength variations. The results demonstrate that the proposed formulas can predict the elastic modulus with an acceptable degree of accuracy. The LGP results are found to be more accurate than those obtained using the buildings codes and various solutions reported in the literature. The LGP-based formulas are quite simple and straightforward and can be used reliably for routine design practice.

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Correspondence to Amir Hossein Gandomi.

Additional information

This paper was recommended for publication in revised form by Associate Editor Chang-Wan Kim

Amir Hossein Gandomi received his B.Sc. and M.Sc. degrees in Civil and Structural Engineering from Iran University of Science & Technology and Tafresh University, respectively. He is currently a lecturer at Tafresh University and serves as a researcher in National Elites Foundation in Iran. His research interests include Structural Health Monitoring, and Artificial Intelligence Application in Civil Engineering.

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Gandomi, A.H., Alavi, A.H., Sahab, M.G. et al. Formulation of elastic modulus of concrete using linear genetic programming. J Mech Sci Technol 24, 1273–1278 (2010). https://doi.org/10.1007/s12206-010-0330-7

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  • DOI: https://doi.org/10.1007/s12206-010-0330-7

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