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- W4385835613 abstract "Composite steel–concrete beams are widely used in buildings and bridges due to their nature, ease of construction, low cost, and excellent structural performance. Ventilation ducts and pipes under beams in high-rise buildings restrict floor clearance. Composite steel–concrete beams with web openings can overcome the abovementioned impediments but have lower flexural strength and load-carrying capacity. This study has been conducted to optimize the geometry and emplacement of the opening for the enhancement of its structural behaviour. Three geometries (circle, rectangle, and triangle) were considered in the composite steel–concrete beam and analyzed using ABAQUS v6.14. The optimized geometry is emplaced at varying positions between the end of the support and mid-span. Based on stress concentration and the maximum stress resistance, the circular geometry placed at one-third of the span was effective from the numerical analysis. The load-carrying capacity of the beams was predicted using the artificial neural network (ANN) model, and the results were validated by multiple determination coefficients (R2) and mean square error (MSE). The results of R2 and MSE for all the models were more significant than 0.94 and less than 0.09, respectively. This indicates that ANN provides a perfect fit for numerical data." @default.
- W4385835613 created "2023-08-16" @default.
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- W4385835613 date "2023-08-15" @default.
- W4385835613 modified "2023-10-03" @default.
- W4385835613 title "Numerical method and validation using ANN of composite steel–concrete beam for optimized geometry and emplacement of web opening" @default.
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- W4385835613 doi "https://doi.org/10.1007/s42107-023-00860-6" @default.
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