Modeling of shear strength of RC beams using artificial neural network

• Main Authors: Aquino, Dan Emmanuel A., Que, Phoebee B., Urena, Aaron James B.
• Format: text
• Language: English
• Published: Animo Repository 2009
• Subjects: Concrete beams; Reinforced concrete; Polymer-impregnated concrete; Civil Engineering
• Online Access: https://animorepository.dlsu.edu.ph/etd_bachelors/11513
• Institution: De La Salle University

The increase in data available in literature on the shear strength of reinforced concrete (RC) beams prompted the creation of model that would be able to predict the shear strength of RC beams with a wider range of parameters. Two artificial neural network models were developed from the data current...