Reliability Assessment of Empirical Equations, ANN and MARS Models for Predicting the Mode I Fracture Toughness from Non-destructive Rock Properties

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초록

Mode I fracture toughness is highly imperative in various rock mechanics applications.Machine learning models are proposed for accurate prediction of mode I fracture toughness.The reliability assessment of the empirical equations and proposed models enables the selection of the most suitable among them.The reliability analysis revealed that some of the models assessed are unsuitable for fracture toughness prediction. © 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature.

키워드

Empirical equationsFracture toughnessMachine learningNormality testReliability analysisABSOLUTE ERROR MAEPROPAGATIONRMSE
제목
Reliability Assessment of Empirical Equations, ANN and MARS Models for Predicting the Mode I Fracture Toughness from Non-destructive Rock Properties
저자
Lawal, Abiodun IsmailKwon, Sangki
DOI
10.1007/s00603-023-03345-9
발행일
2023-08
유형
Article
저널명
Rock Mechanics
56
8
페이지
6157 ~ 6166