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
• 其他作者: School of Civil and Environmental Engineering
• 格式: Article
• 語言: English
• 出版: 2024
• 主題: Engineering::Civil engineering; Concrete Durability; Mix Proportion Optimization
• 在線閱讀: https://hdl.handle.net/10356/172953

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...