Optimal adjustment of EC-2 shear formulation for concrete elements without web reinforcement using Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Article{Perez20103452,
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author = "Juan L. Perez and Antoni Cladera and
Juan R. Rabunal and Fernando Martinez Abella",
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title = "Optimal adjustment of {EC-2} shear formulation for
concrete elements without web reinforcement using
Genetic Programming",
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journal = "Engineering Structures",
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volume = "32",
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number = "11",
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pages = "3452--3466",
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year = "2010",
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ISSN = "0141-0296",
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DOI = "doi:10.1016/j.engstruct.2010.07.006",
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URL = "http://www.sciencedirect.com/science/article/B6V2Y-50TYH2X-1/2/715d665c31d9157a5e00ad7e43279a8e",
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keywords = "genetic algorithms, genetic programming, Beam,
Concrete, Code of practice, Shear strength",
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abstract = "This paper presents the improvement of the EC-2 shear
strength formulation for concrete beams without shear
reinforcement. The method used is based on the
modification of the Genetic Programming (GP) technique
configured to generate symbolic regression from a set
of experimental data. Starting from the EC-2
formulation, several points of the equation are subject
to optimisation, together with the set of restrictions
that must be fulfilled, achieving in this way to
control and direct the searching process. It is
specifically pursued to improve the term of size
effect, the influence of the amount longitudinal
reinforcement and the bending-moment-shear-force
interaction. For the development and checking of the
models it has been used in about 1200 experimental
tests on concrete beams from the literature. The four
expressions obtained are analysed in depth through GP
and, finally, three expressions of great simplicity are
proposed that improve, significantly, the shear
strength prediction with respect to the proposals of
the Eurocode 2 and ACI 318-05 Code.",
- }
Genetic Programming entries for
Juan Luis Perez
Antoni Cladera Bohigas
Juan Ramon Rabunal Dopico
Fernando Martinez Abella
Citations