This paper proposes an image-based method for automated rock fracture segmentation and
fracture trace quantification. It is integrated using a CNN-based model named FraSegNet, a …

A tunnel is an imperative underground passageway that supports fast and uninterrupted
transportation. Over time, various factors, such as ageing, topographical changes, and …

The automated interpretation of rock structure can improve the efficiency, accuracy, and
consistency of the geological risk assessment of tunnel face. Because of the high …

This paper presents a hybrid ensemble classifier combined synthetic minority oversampling
technique (SMOTE), random search (RS) hyper-parameters optimization algorithm and …

The presence of fractures in a rock mass can have a substantial influence on its mechanical
and hydraulic properties. For many years, computed tomography (CT) scan has been …

One early sign of tunnel structure deterioration originates in the form of cracking, and
therefore crack detection and resultant classification is integral for tunnel structural …

Accurate recognition of rock fractures is an important problem in rock engineering because
fractures greatly influence the mechanical and hydraulic properties of rock structures …

The overall assessment of tunnel lining, including shapes, categories, and depths of tunnel
internal defects as well as the thickness of tunnel linings is vital to the safe operation of …

Cracks in the tunnel become an unavoidable problem in tunnel construction and tunnel
using. Cracks will affect the stability of the tunnel and have a negative impact on the …

This paper develops a deep learning-based approach that extends the PANet model by
adding a semantic branch which refines the process of crack evaluation to reduce …