Enhancing the durability of concrete in severely cold regions: mix proportion optimization based on machine learning

• Main Authors: Chen, Hongyu, Cao, Yuan, Liu, Yang, Qin, Yawei, Xia, Linyue
• Other Authors: School of Civil and Environmental Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering::Civil engineering; Concrete Durability; Mix Proportion Optimization
• Online Access: https://hdl.handle.net/10356/172953
• Institution: Nanyang Technological University

Compared with inland areas, the environment for concrete in severely cold regions is more harsh and includes ion erosion, changes in dry and wet conditions, low-temperature freeze–thaw cycles and other occurrences leading to surface damage to and the cracking of roads and bridges, which causes concr...