High strength concrete modeling by artificial neural networks

• Main Authors: Ng, Tiffany, Roxas, Christian Carlo, Flores, Arturo, Jr., Oreta, Andres Winston C.
• Format: text
• Published: Animo Repository 2002
• Subjects: High strength concrete—Testing; Civil Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/8816
• Institution: De La Salle University

Artificial Neural Networks (ANN) of the backpropagation type were used to map the strength of High Strength Concrete (HSC) given the design mix. Several ANN models were trained and simulated using 89 sets of data composed of the amount of cement, water, admixture, slag, silica fume, RHA, fine aggreg...