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Reliability Assessment of Empirical Equations, ANN and MARS Models for Predicting the Mode I Fracture Toughness from Non-destructive Rock Properties
- Lawal, Abiodun Ismail;
- Kwon, Sangki
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18초록
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 equations; Fracture toughness; Machine learning; Normality test; Reliability analysis; ABSOLUTE ERROR MAE; PROPAGATION; RMSE
- 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 Ismail; Kwon, Sangki
- 발행일
- 2023-08
- 유형
- Article
- 저널명
- Rock Mechanics
- 권
- 56
- 호
- 8
- 페이지
- 6157 ~ 6166