A new prediction model for the load capacity of castellated steel beams
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- @Article{Gandomi20111096,
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author = "Amir Hossein Gandomi and Seyed Morteza Tabatabaei and
Mohammad Hossein Moradian and Ata Radfar and
Amir Hossein Alavi",
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title = "A new prediction model for the load capacity of
castellated steel beams",
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journal = "Journal of Constructional Steel Research",
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volume = "67",
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number = "7",
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pages = "1096--1105",
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year = "2011",
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ISSN = "0143-974X",
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DOI = "doi:10.1016/j.jcsr.2011.01.014",
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URL = "http://www.sciencedirect.com/science/article/B6V3T-52BVR2R-1/2/9f40e5717143288037afed5176f8d52e",
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keywords = "genetic algorithms, genetic programming, Castellated
beam, Failure load, Gene expression programming",
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abstract = "In this study, a robust variant of genetic
programming, namely gene expression programming (GEP),
is used to build a prediction model for the load
capacity of castellated steel beams. The proposed model
relates the load capacity to the geometrical and
mechanical properties of the castellated beams. The
model is developed based on a reliable database
obtained from the literature. To verify the
applicability of the derived model, it is employed to
estimate the load capacity of parts of the test results
that were not included in the modelling process. The
external validation of the model was further verified
using several statistical criteria recommended by
researchers. A multiple least squares regression
analysis is performed to benchmark the GEP-based model.
A sensitivity analysis is further carried out to
determine the contributions of the parameters affecting
the load capacity. The results indicate that the
proposed model is effectively capable of evaluating the
failure load of the castellated beams. The GEP-based
design equation is remarkably straightforward and
useful for pre-design applications.",
- }
Genetic Programming entries for
A H Gandomi
Seyed Morteza Tabatabaei
Mohammad Hossein Moradian
Ata Radfar
A H Alavi
Citations