Application of machine learning in predicting the rate-dependent compressive strength of rocks

Accurate prediction of compressive strength of rocks relies on the rate-dependent behaviors of rocks, and correlation among the geometrical, physical, and mechanical properties of rocks. However, these properties may not be easy to control in laboratory experiments, particularly in dynamic compressi...

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Detalhes bibliográficos

Principais autores:	Mingdong Wei, Wenzhao Meng, Feng Dai, Wei Wu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2022-10-01
coleção:	Journal of Rock Mechanics and Geotechnical Engineering
Assuntos:	Machine learning Rock dynamics Compressive strength Strain rate
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S167477552200049X
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