Research on rock fracture pattern recognition based on convolutional neural networks and digital image correlation
Xiaohua Xu
Rock failure modes are a key factor for assessing the stability of geological structures and predicting crack propagation, and are critical to ensuring the safety of rock engineering. To address the identification of rock fracture modes, an automatic recognition method for rock mass fracture modes integrating Digital Image Correlation (DIC) with deep learning is proposed. Original image data were collected through laboratory uniaxial compression, biaxial compression and Brazilian splitting tests