Artificial neural network model using ultrasonic test results to predict compressive stress in concrete

• Main Authors: Ongpeng, Jason, Soberano, Marcus, Oreta, Andres, Hirose, Sohichi
• Format: text
• Published: Animo Repository 2017
• Subjects: Concrete—Compression testing; Fiber-reinforced concrete > Testing; Ultrasonic testing; Neural networks (Computer science); Civil Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1904
• Institution: De La Salle University

This study focused on modeling the behavior of the compressive stress using the average strain and ultrasonic test results in concrete. Feed-forward backpropagation artificial neural network (ANN) models were used to compare four types of concrete mixtures with varying water cement ratio (WC), ordin...