Theoretical and experimental researches on fracture toughness for bedded shale using the centrally cracked Brazilian disk method with acoustic emission monitoring

•The fracture toughness (KIc, KI + II, and KIIc) for the CCBD bedded shale are investigated using the AE technique.•The fracture criteria (MTS, MTSN, and MTSEDF) are applied to predict the fracture toughness.•The proposed k-means clustering method succeeds in identifying the specific fracture modes...

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Vydáno v:Theoretical and applied fracture mechanics Ročník 124; s. 103784
Hlavní autoři: Zheng, Kun, Wang, Chaolin, Zhao, Yu, Bi, Jing
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 01.04.2023
Témata:
Bedded shale
centrally cracked Brazilian disk
Fracture criteria
Fracture modes
Fracture toughness
K-means clustering method
centrally cracked Brazilian disk
Fracture criteria
K-means clustering method
Fracture modes
Fracture toughness
Bedded shale
ISSN:0167-8442, 1872-7638
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Shrnutí:•The fracture toughness (KIc, KI + II, and KIIc) for the CCBD bedded shale are investigated using the AE technique.•The fracture criteria (MTS, MTSN, and MTSEDF) are applied to predict the fracture toughness.•The proposed k-means clustering method succeeds in identifying the specific fracture modes for the CCBD bedded shale. To investigate the fracture toughness including pure mode I, combined mode I + II, and pure mode II, the CCBD (centrally cracked Brazilian disk) fracture experiments with acoustic emission (AE) detecting are conducted on the shale specimens with distinct bedded inclination angles (0°, 30°, 60°, and 90°), and this research first introduces the detailed derivations on the three dominating fracture criteria. The investigated results demonstrate that the fracture resistances for the tested CCBD shale are insensitive to the bedded direction and the anisotropy of the fracture toughness is regarded as relatively weak, which is reflected in the smoother and more regular rupturing paths. The improved criteria (GMTS, GMTSN, and GMTSEDF) can provide a reasonable agreement with the measured data by considering the variable damaged radius of microcracking zone. The proposed k-means clustering method succeeds in identifying the specific fracture modes for the tested CCBD bedded shale in conjunction with the KDE (kernel density estimation) method, whereas the conventional AE parameter (RA and AF) method fails to analyze the fracture mechanisms.
ISSN:0167-8442
1872-7638
DOI:10.1016/j.tafmec.2023.103784