Loading rate and mineralogical controls on tensile strength of rocks: a machine learning view

• Main Authors: Tie, Jiahao, Meng, Wenzhao, Wei, Mingdong, Wu, Wei
• Other Authors: School of Civil and Environmental Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Civil engineering; Tensile Strength; Loading Rate
• Online Access: https://hdl.handle.net/10356/170052
• Institution: Nanyang Technological University

Machine learning models show the effects of loading rate and mineralogical composition on rock tensile strength. Difference between the indirect and direct tensile strengths becomes larger with a higher loading rate. Training with dissimilar mineralogical compositions reduces prediction reliability...