Rock dynamic strength prediction in cold regions using optimized hybrid algorithmic models

• Main Authors: Lv, You, Shen, Yanjun, Zhang, Anlin, Ren, Li, Xie, Jing, Zhang, Zetian, Zhang, Zhilong, An, Lu, Sun, Junlong, Yan, Zhiwei, Mi, Ou
• Other Authors: Asian School of the Environment
• Format: Article
• Language: English
• Published: 2024
• Subjects: Earth and Environmental Sciences; Dynamic mechanical strength; Freezing and thawing action
• Online Access: https://hdl.handle.net/10356/181309
• Institution: Nanyang Technological University

Predicting the dynamic mechanical characteristics of rocks during freeze–thaw cycles (FTC) is crucial for comprehending the damage process of FTC and averting disasters in rock engineering in cold climates. Nevertheless, the conventional mathematical regression approach has constraints in accurately...