Genetic Programming to Improvement FIB Model - Bond and Anchorage of Reinforcing Steel in Structural Concrete
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @InProceedings{conf/iwann/PerezVRA13,
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author = "Juan Luis Perez and Ismael Vieito and
Juan R. Rabunal and Fernando Martinez-Abella",
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title = "Genetic Programming to Improvement {FIB} Model - Bond
and Anchorage of Reinforcing Steel in Structural
Concrete",
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bibdate = "2013-06-25",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/iwann/iwann2013-1.html#PerezVRA13",
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booktitle = "Advances in Computational Intelligence - 12th
International Work-Conference on Artificial Neural
Networks, {IWANN} 2013, Puerto de la Cruz, Tenerife,
Spain, June 12-14, 2013, Proceedings, Part {I}",
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publisher = "Springer",
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year = "2013",
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volume = "7902",
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editor = "Ignacio Rojas and Gonzalo Joya Caparr{\'o}s and
Joan Cabestany",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-642-38678-7",
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pages = "463--470",
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series = "Lecture Notes in Computer Science",
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URL = "http://dx.doi.org/10.1007/978-3-642-38679-4",
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DOI = "doi:10.1007/978-3-642-38679-4_46",
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abstract = "Starting from the FIB database, this work is aimed to
analyse the current equations which predict the main
datum that can be provided by bond tests: the ultimate
bar stress when the failure is reached. Furthermore,
Genetic Programming (GP) techniques are also applied in
order to enhance the expression of the FIB, which
achieves the best adjustment so far, giving rise to the
new Model Code 2010. The final result shown is a highly
predictive equation. The results are compared with
those included in the Model Code and it is showed the
influence of the main variables on the phenomenon
(concrete strength, yield strength of steel, concrete
cover, transverse reinforcement and diameter of the
bar).",
- }
Genetic Programming entries for
Juan Luis Perez
Ismael Vieito
Juan Ramon Rabunal Dopico
Fernando Martinez Abella
Citations