A model for time-to-cracking of concrete due to chloride induced corrosion using artificial neural network

• Main Authors: Concha, Nolan C., Oreta, Andres Winston C.
• Format: text
• Published: Animo Repository 2018
• Subjects: Concrete—Cracking; Concrete—Compression testing; Concrete—Testing; Neural networks (Computer science); Civil Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/3722; https://animorepository.dlsu.edu.ph/context/faculty_research/article/4724/type/native/viewcontent/072009.html
• Institution: De La Salle University

To monitor the initiation of concrete cracking beyond the service life of the structure, a novel prediction model of time to cracking of concrete cover using artificial neural network (ANN) was developed in this study. Crack mitigation prevents corrosion and crack development to occur in a more rapi...