Rate-dependent compressive and tensile strength of rocks: from prediction to explanation using machine learning

Bulletin of Engineering Geology and the Environment 2026

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Authors: Peerzadi Arzeena Imtiyaz, Shruti Upadhyaya, Shwetabh Yadav
DOI: 10.1007/s10064-026-05128-2
Cited by: 1
References: 36

Fields of Study & Subjects

Rock Mechanics and Modeling Tunneling and Rock Mechanics Mineral Processing and Grinding

Publication details

Journal / source
Bulletin of Engineering Geology and the Environment
Publisher
Springer Science and Business Media LLC
Volume
85
Issue
7
Publication date
30 June 2026
Language
EN