Genetic programming in the simulation of Frp-to-concrete patch-anchored joints
Created by W.Langdon from
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- @Article{Kalfat:2016:CS,
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author = "R. Kalfat and A. Nazari and R. Al-Mahaidi and
J. Sanjayan",
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title = "Genetic programming in the simulation of
Frp-to-concrete patch-anchored joints",
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journal = "Composite Structures",
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volume = "138",
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pages = "305--312",
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year = "2016",
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ISSN = "0263-8223",
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DOI = "doi:10.1016/j.compstruct.2015.12.005",
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URL = "http://www.sciencedirect.com/science/article/pii/S026382231501082X",
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abstract = "Although fibre reinforced polymer composites (FRPs)
have proven to be one of the most efficient materials
for strengthening existing reinforced concrete (RC)
structures against various loading actions, premature
debonding remains the major factor limiting their full
use. Experiments have demonstrated that anchorage
systems such as bidirectional fiber patch anchors are
an effective method to improve the bond performance of
FRP when bonded to concrete substrates and they can be
applied to existing strengthening systems to achieve a
given level of strengthening using less material. The
present research aims to use available experimental
data on patch-anchored joints to develop a new
anchorage strength model using genetic programming. The
model incorporates a number of input parameters which
have been found to influence the strength of the
anchor: concrete strength, laminate thickness, laminate
width, patch anchor size and strength of adhesive. The
genetically programmed model is compared with
predictions from a semi-empirically derived model and
provides less error and better correlations with the
available data.",
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keywords = "genetic algorithms, genetic programming, FRP,
Concrete, Anchorage, Bidirectional fibre, Bond",
- }
Genetic Programming entries for
Robin Kalfat
Ali Nazari
Riadh Al-Mahaidi
Jay G Sanjayan
Citations