Modelling of carbonation of reinforced concrete structures in Intramuros, Manila using artificial neural network

• Main Authors: De Jesus, Richard M., Collado, Joshua A. M., Go, Jemison L., Rosanto, Mike A., Tan, John L.
• Format: text
• Published: Animo Repository 2017
• Subjects: Carbonization; Reinforced concrete; Neural networks (Computer science); Civil Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1886; https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=2885&context=faculty_research
• Institution: De La Salle University

Corrosion is a perennial problem in reinforced concrete structures, and is a serious concern due to the deterioration that it causes to reinforced concrete members. Though regarded as having a minor influence to corrosion compared to chloride-induced corrosion, carbonation is becoming a serious thre...