Abstract
This study presents an innovative approach towards the enhancement of the flexural performance and efficacy of reinforced concrete composite beams by replacing the traditional tensile reinforcement with a steel plate at the soffit of the beam, which has been welded to a prefabricated cage consisting of the vertical stirrups and hanger bars in the compression zone. Reinforced concrete beams of size 1600 × 100 × 150 mm with and without a steel plate and bent-up bars at both ends were cast and tested under four-point bending using a computerized servo-controlled 1000kN capacity loading frame. The beam under investigation has been separated into four sets, viz. reinforced concrete beams (RCB), reinforced concrete beams with bent-up bar (RCBWBB), plate reinforced concrete beams (PCB), and plate reinforced concrete beams with bent-up bars (PCBWBB). The proposed model has shown an 8–10% increment in ultimate load-carrying capacities compared to the control beam specimen. Results have also shown that the steel plate reinforced beams behave as composite sections until the ultimate load leads to the yielding of the plate, without any debonding failure at the steel plate concrete interface. For better prediction of the behaviour of these beams, a study has also been carried out employing an artificial neural network (ANN) with ten hidden layers, which has demonstrated high accuracy with an R2 value of 0.96294 and low MAE and RMSE values of 0.02909 and 0.04376, respectively. The ANN results have shown a satisfactory correlation with the experimental results, indicating the effectiveness of the approach in predicting the strength and behaviour of the beams.
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Mondal, P., Rajender, A., Samanta, A.K. et al. Performance Study and Efficacy of Steel Plate Reinforced Concrete Composite Beam with Prefabricated Cage and Bent-Up Bars: An ANN-Based Approach. Trans Indian Natl. Acad. Eng. 9, 241–252 (2024). https://doi.org/10.1007/s41403-023-00451-6
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DOI: https://doi.org/10.1007/s41403-023-00451-6