Aiming at the problem of insufficient number samples due to difficulty data acquisition in identification tunnel lining defects, a generative adversarial network was introduced expand data, and improved for mode collapse traditional that generated image features were not obvious. On basis WGAN-GP network, deep convolutional is selected as its backbone effectiveness feature extraction by Lv et a...

This paper presents studies that focus on fire and explosion-induced damage of tunnel structures by employing the Discrete Element Method (DEM). By assuming a two-dimensional aggregate distribution reconstructing digital representation experimental concrete blocks, numerical model lining was established in PFC2D program. The temperature shock wave pressure at surface were obtained using Fluent ...

The defect identification of tunnel lining is a task with lot tasks and time-consuming work, currently, it mainly relies on manual operation. This paper takes the ground-penetrating radar image internal defects as research object, chooses popular VGG16, ResNet34 convolutional neural network (CNN) to build automatic recognition model for comparative study, proposes an improved defect-recognition...

This study investigates the effect of shield tunnel grouting on excess pore pressure distributions around and ground consolidation settlement. First, it presents half-plane an unlined caused by based complex variable theory conformal mapping method. Second, analytical solution for soil is derived using transformation method Terzaghi–Rendulic. The drainage conditions lining are idealized into th...

In a novel shield tunneling method, the tunnel lining is produced by an extrusion process with continuous shield advance. A robotic manipulator is used to build the tunnel supporting formwork, consisting of rings of steel segments. As the shield of the tunnel-boring machine advances, concrete is continuously injected in the space between the formwork and the surrounding soil. This technology re...