Prediction of compressive strength of recycled concrete cylinders reinforced with fiber-reinforced polymer using a combined genetic algorithm and neural network approach

= 0.91). Sensitivity analysis revealed that the elastic modulus, tensile strength, and thickness of the FRP layers have the most significant impact on the stress-strain response. These results confirm the model's reliability and its potential application in designing sustainable and efficient reinforced concrete structures.