Formulation of shear strength of slender RC beams using gene expression programming, part I: Without shear reinforcement
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- @Article{Gandomi:2014:AiC,
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author = "Amir H. Gandomi and Amir H. Alavi and
Sadegh Kazemi and Mostafa Gandomi",
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title = "Formulation of shear strength of slender {RC} beams
using gene expression programming, part I: Without
shear reinforcement",
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journal = "Automation in Construction",
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volume = "42",
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pages = "112--121",
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year = "2014",
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month = jun,
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keywords = "genetic algorithms, genetic programming, Gene
expression programming, Shear strength, Reinforced
concrete beam, Normal and high-strength concrete,
Formulation",
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ISSN = "0926-5805",
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URL = "http://www.sciencedirect.com/science/article/pii/S0926580514000326",
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DOI = "doi:10.1016/j.autcon.2014.02.007",
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size = "10 pages",
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abstract = "In this study, a new design equation is derived to
predict the shear strength of slender reinforced
concrete (RC) beams without stirrups using gene
expression programming (GEP). The predictor variables
included in the analysis are web width, effective
depth, concrete compressive strength, amount of
longitudinal reinforcement, and shear span to depth
ratio. A set of published database containing 1942
experimental test results is used to develop the model.
An extra set of test results which is not involved in
the modelling process is employed to verify the
applicability of the proposed model. Sensitivity and
parametric analyses are carried out to determine the
contributions of the affecting parameters. The proposed
model is effectively capable of estimating the ultimate
shear capacity of members without shear steel. The
results obtained by GEP are found to be more accurate
than those obtained using several building codes. The
GEP-based formula is fairly simple and useful for
pre-design applications.",
- }
Genetic Programming entries for
A H Gandomi
A H Alavi
Sadegh Kazemi
Mostafa Gandomi
Citations