A Machine-Learning-Based Method for Identifying the Failure Risk State of Fissured Sandstone under Water–Rock Interaction

A Machine-Learning-Based Method for Identifying the Failure Risk State of Fissured Sandstone under Water–Rock Interaction

The mechanical properties of fissured sandstone will deteriorate under water–rock interaction. It is crucial to extract the precursor information of fissured sandstone instability under water–rock interaction. The potential of each acoustic emission (AE) parameter as a precursor for instability in t...

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Bibliographic Details
Main Authors: Jinbo Qu, Cheng Song, Jinwen Bai, Guorui Feng, Xudong Shi, Junbiao Ma
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Sensors
Subjects:
acoustic emission (AE)
fissured sandstone
water–rock interaction
precursor information
instability identification
machine learning
Online Access:https://www.mdpi.com/1424-8220/24/17/5752

Internet

https://www.mdpi.com/1424-8220/24/17/5752

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