Prediction of moment redistribution capacity in reinforced concrete beams using gene expression programming

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@Article{AYDOGAN:2023:istruc,

• author = "Mehmet Safa Aydogan and Sema Alacali and Guray Arslan",
• title = "Prediction of moment redistribution capacity in reinforced concrete beams using gene expression programming",
• journal = "Structures",
• volume = "47",
• pages = "2209--2219",
• year = "2023",
• ISSN = "2352-0124",
• DOI = "doi:10.1016/j.istruc.2022.12.054",
• URL = "https://www.sciencedirect.com/science/article/pii/S2352012422012425",
• keywords = "genetic algorithms, genetic programming, Moment redistribution, RC continuous beams, Prediction, Design codes, Gene expression programming",
• abstract = "Moment redistribution can play an important role in making the design of reinforced concrete (RC) structures more realistic and economical. In this paper, a new comprehensive formula has been proposed that considers four input parameters that are thought to influence moment redistribution the most in statically indeterminate RC beams using gene expression programming (GEP). For this reason, an experimental database of 108 data points was collected from experimental studies in the literature to predict the moment redistribution of the RC beams using genetic programming. All of these collected data points belong to two-span RC continuous beams. The results of the GEP formulation were statistically compared with the experimental results obtained from the literature and the results from the equations provided by the current design code provisions. The results of the comparison revealed that the proposed GEP-based formulation has the best performance and accuracy among the proposed models. Moreover, the sensitivity analysis and parametric study were also carried out to evaluate the most critical parameters affecting on moment redistribution of RC continuous beams",

}

Genetic Programming entries for Mehmet Safa Aydogan Sema Alacali Guray Arslan

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