Assessment of the uniaxial compressive strength of intact rocks: an extended comparison between machine and advanced machine learning models

Rock strength is the most deterministic parameter for studying geological disasters in resource development and underground engineering construction. However, the experimental procedure for finding rock strength is arduous and lengthy. Therefore, this investigation introduces an optimal computationa...

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Veröffentlicht in:	Multiscale and Multidisciplinary Modeling, Experiments and Design Jg. 7; H. 4; S. 3301 - 3325
Hauptverfasser:	Khatti, Jitendra, Grover, Kamaldeep Singh
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.09.2024
Schlagworte:	Characterization and Evaluation of Materials Engineering Mathematical Applications in the Physical Sciences Mechanical Engineering Numerical and Computational Physics Original Paper Simulation Solid Mechanics Gaussian process regression Uniaxial compressive strength Multicollinearity impact Intact rock
ISSN:	2520-8160, 2520-8179
Online-Zugang:	Volltext
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