Machine learning models for predicting rock fracture toughness at different temperature conditions

Machine learning models for predicting rock fracture toughness at different temperature conditions

The rock fracture toughness (RFT) is significantly influenced by thermal treatments. Accurate evaluation of RFT at different temperatures holds great importance in the fields of geotechnical engineering. Current analytical and empirical models, based on our current but incomplete understanding of th...

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Bibliographic Details
Main Authors: Xunjian Hu, Dong Liao, Dongdong Ma, Senlin Xie, Ni Xie, Haibo Hu, Xiaonan Gong
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Case Studies in Construction Materials
Subjects:
Machine learning
Fracture toughness
Rock mechanics
Temperature
Semi-circle bend test
Online Access:http://www.sciencedirect.com/science/article/pii/S2214509523008021

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http://www.sciencedirect.com/science/article/pii/S2214509523008021

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