Empirical Models for the Prediction of Flexural Resistance and Initial Stiffness of Welded Beam-Column Joints

Created by W.Langdon from gp-bibliography.bib Revision:1.7650

@InProceedings{Gandomi:2008:EASEC,

• author = "A. H. Gandomi and A. H. Alavi and M. G. Sahab and M. Gandomi and M. Safari Gorji",
• title = "Empirical Models for the Prediction of Flexural Resistance and Initial Stiffness of Welded Beam-Column Joints",
• booktitle = "Proceedings of the 11th East Asia-Pacific Conference on Structural Engineering \& Construction (EASEC-11)",
• year = "2008",
• address = "Taipei, Taiwan",
• month = "19-21 " # nov,
• organisation = "National Taiwan University",
• keywords = "genetic algorithms, genetic programming, Steel structures, Welded joints, Combined genetic programming and simulated annealing, Flexural resistance, Initial rotation stiffness",
• URL = "http://dc199.4shared.com/doc/beWiACYZ/preview.html",
• size = "10 pages",
• 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