Empirical Models for the Prediction of Flexural Resistance and Initial Stiffness of Welded Beam-Column Joints
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- @InProceedings{Gandomi:2008:EASEC,
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author = "A. H. Gandomi and A. H. Alavi and M. G. Sahab and
M. Gandomi and M. Safari Gorji",
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title = "Empirical Models for the Prediction of Flexural
Resistance and Initial Stiffness of Welded Beam-Column
Joints",
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booktitle = "Proceedings of the 11th East Asia-Pacific Conference
on Structural Engineering \& Construction (EASEC-11)",
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year = "2008",
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address = "Taipei, Taiwan",
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month = "19-21 " # nov,
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organisation = "National Taiwan University",
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keywords = "genetic algorithms, genetic programming, Steel
structures, Welded joints, Combined genetic programming
and simulated annealing, Flexural resistance, Initial
rotation stiffness",
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URL = "http://dc199.4shared.com/doc/beWiACYZ/preview.html",
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size = "10 pages",
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abstract = "Welded beam-column joints play a fundamental role in
the global response of steel structures. The flexural
resistance and initial stiffness properties of the
joints are affected by different parameters. It is
idealistic to develop models, relating these properties
of the joints to the influencing parameters. This paper
proposes a novel approach for the prediction of
flexural resistance and initial stiffness of welded
joints by using a hybrid search algorithm that couples
genetic programming (GP) and simulated annealing (SA),
called GP/SA. Column height, column flange width,
column flange thickness, column flange yield stress,
column web thickness, column web yield stress, beam
height, beam web thickness, beam web yield stress, beam
flange thickness, beam flange width, beam flange yield
stress, and weld thickness are used as input variables
to the models. A reliable database from the previously
published literature was employed to develop the
empirical models. The accuracy of the proposed models
is satisfactory as compared to experimental results.
GP/SA models are further compared with the
corresponding design code (Eurocode 3) reference
values. The results demonstrate that the GP/SA based
models have better performance than Eurocode 3
models.",
- }
Genetic Programming entries for
A H Gandomi
A H Alavi
Mohammad Ghasem Sahab
Mostafa Gandomi
M Safari Gorji
Citations