Formulation of elastic modulus of concrete using linear genetic programming
Created by W.Langdon from
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- @Article{Gandomi:2010:jMST,
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author = "Amir Hossein Gandomi and Amir Hossein Alavi and
Mohammad Ghasem Sahab and Parvin Arjmandi",
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title = "Formulation of elastic modulus of concrete using
linear genetic programming",
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journal = "Journal of Mechanical Science and Technology",
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year = "2010",
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volume = "24",
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number = "6",
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pages = "1273--1278",
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month = jun,
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email = "ah_alavi@hotmail.com, a.h.gandomi@gmail.com",
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keywords = "genetic algorithms, genetic programming, Tangent
elastic modulus, Linear genetic programming,
Compressive strength, Normal and high strength
concrete, Formulation",
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ISSN = "1738-494X",
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DOI = "doi:10.1007/s12206-010-0330-7",
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size = "6 pages",
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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 formulae 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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notes = "1Structural Health Monitoring Research Group, College
of Civil Engineering, Tafresh University, Tafresh,
Iran",
- }
Genetic Programming entries for
A H Gandomi
A H Alavi
Mohammad Ghasem Sahab
Parvin Arjmandi
Citations