Prediction of shear strength of corrosion reinforced concrete beams using Artificial Neural Network

• DOI: 10.58845/jstt.utt.2022.en.2.2.1-12
• Publication Date: 2023-12-04T08:04:16Z
• Authors: Panagiotis G. Ast...; Thuy-Anh Nguyen
• Keywords: Shear Strength

The shear strength of corroded reinforced concrete (CRC) beams is a critical consideration during the design stages RC structures. In this study, we propose machine learning technique for estimating CRC across range service periods. To do this, gathered 158 beam tests and used Artificial Neural Network (ANN) to create forecast model considered output. Twelve input variables indicate geometrical material properties, reinforcing parameters, degree corrosion in beam, whereas output considered. database designed employ 70 percent data point train 30 assess performance. makes outstanding predictions, according results, with an R2 value 0.989. addition, five empirical models literature are utilized test suggested ANN model, demonstrating that new performs much better. With any given period, time-dependent prediction can offer beams.