RCE-GAN: A Rebar Clutter Elimination Network to Improve Tunnel Lining Void Detection from GPR Images

Ground penetrating radar (GPR) is one of the most recommended tools for routine inspection of tunnel linings. However, the rebars in the reinforced concrete produce a strong shielding effect on the electromagnetic waves, which may hinder the interpretation of GPR data. In this work, we proposed a method to improve the identification of tunnel lining voids by designing a generative adversarial network-based rebar clutter elimination network (RCE-GAN). The designed network has two sets of generators and discriminators, and by introducing the cycle-consistency loss, the network is capable of learning high-level features between unpaired GPR images. In addition, an attention module and a dilation center part were designed in the network to improve the network performance. Validation of the proposed method was conducted on both synthetic and real-world GPR images, collected from the implementation of finite-difference time-domain (FDTD) simulations and a controlled physical model experiment, respectively. The results demonstrate that the proposed method is promising for its lower demand on the training dataset and the improvement in the identification of tunnel lining voids.

The Stress-Strain State of the Tunnel Lining that Crosses the Fault Zone of Soil Blocks during an Earthquake

The study examines the question of the tunnel behavior under seismic or geophysical load in the zone of changes in the hardness of the surrounding soil mass. In the course of the study, the internal forces and displacements arising in the structure of a tunnel in the zone of intersection of the boundaries of soil layers with different properties, in the case when these layers move relative to each other, were determined by analytical and numerical solutions. The data obtained by the analytical method was compared to numerical models using practical examples.

Analysis of Structural Response of Subway Shield Tunnel Lining under the Influence of Cavities

The existence of cavities behind the shield tunnel lining can cause cracking, broken pieces, water leakage, and other problems, which reduces the durability and safety of the shield tunnel segment structure. In order to clarify the mechanism of cavity damage, a more systematic study of the effects of cavities on the shield tunnel lining structure from the angle, depth, and the number of cavities is carried out using model tests and numerical simulations without considering the effects of the stiffness reduction effect at the tunnel segment joints and groundwater seepage in this paper. The findings show that the bending moment value and the cavity angle value are approximately linear with the increase of single cavity angle, and the bending moment at the vault arch is reversed when the angle of the cavity behind the arch is greater than 30°. With the increase of single cavity depth, the axial force and bending moment at the cavity increase, and the distribution of bending moment remains unchanged, and the bending moment tends to be stable and unchanged beyond a certain depth. With the increase of single cavity angle and depth, the structural safety coefficient of the segment decreases, and the degree of influence is angle value > depth value. The existence of multiple cavities intensifies the influence of each cavity on the segment, especially when there are cavities behind the top and bottom of the vault; the bending moment value of the top of the vault increases by 22.53% compared with that of the single cavity condition.

Hydromechanical Simulation of Tunnel Excavation in Rock Considering a Nearby Karst Cave

Tunnel excavation tends to be affected by karst cavities in karst areas. Some cavities that are at low risk of causing safety issues without treatment tend to be ignored in the design and construction of tunnels to reduce costs. It is necessary to gain a better understanding of the effect of such a cavity on the seepage around a tunnel, the deformation of the surrounding rock, and the stress of the tunnel lining. In this paper, a two-dimensional rock-tunnel hydromechanical model with a karst cave was established with FLAC3D finite difference software to simulate the tunnel excavation with the consideration of seepage. Numerical simulations were performed to analyze the deformation of the surrounding rock, the seepage field of the surrounding rock, and the stress of the tunnel lining, and the results were compared for scenarios when the karst cave is at different locations relative to the tunnel. These results can provide a reference for the design and construction of tunnel engineering in rock with karst caves.

A Numerical Method for the Design of the U-Shaped Segmental Tunnel Lining under the Impact of Earthquakes: A Case Study of a Tunnel in the Hanoi Metro System

Circular tunnels are usually encountered when excavation tunnel. However, the U-shapedtunnel lining is used a lot in practice because of it’s advantages. However, there are not many studies inthe world to calculate and design for underground structures with U-shaped tunnel lining, especially inthe case of tunnels being affected by earthquakes. This paper proposes a new numerical-HRM methodapproach for the analysis of U-shaped segmental tunnel lining under the impact of earthquakes. Hanoi isthe capital of Vietnam, this is a big city with more than 8 million people. Hanoi is located between twomajor fault systems, the Red River fault system and the Son La-Dien Bien-Lai Chau fault system.Therefore, the Hanoi area is assessed as likely to be affected by earthquakes of magnitude Mw = 6.1 up to6.5 Richter. The Hanoi metro system is constructed by TBM and the U-shaped segmental tunnel lining isalso one of the types of tunnel lining considered for use in the construction of metro tunnels in Hanoi. Theimproved HRM method has been used to investigate the effect of joints in the tunnel lining from the Hanoisystem metro under the impact of earthquakes is conducted considering from the results of the tunnellining behavior in terms of bending moment (M), normal forces (N) and tunnel lining displacements (δn)in both cases: the U-shaped continuous tunnel lining and the U-shaped segmental tunnel lining.

Evolution of tunnels in alpha/beta-hydrolase fold proteins - what can we learn from studying epoxide hydrolases?

The evolutionary variability of a protein's residues is highly dependent on protein region and protein function. Solvent-exposed residues, excluding those at interaction interfaces, are more variable than buried residues. Active site residues are considered to be conserved as they ensure an enzyme's activity and selectivity. The abovementioned rules apply also to α/β-hydrolase fold proteins - an example of enzymes with buried active sites equipped with tunnels linking the reaction site with the exterior. We hypothesised two scenarios: (1) tunnels are lined by mostly variable residues, allowing adaptation to the evolutionary pressures of a changeable environment; or (2) tunnels are lined by mostly conserved amino acids, and are equipped with a number of specific variable residues that are able to respond to evolutionary pressure. We also wanted to check if evolutionary analysis can help distinguish functional and non-functional tunnels. Soluble epoxide hydrolases (sEHs) represent a good case study for the analysis of the evolution of tunnels in an α/β-hydrolase fold family due to their size and architecture. Here, we propose methods for the comparison of tunnels detected in both crystal structures and molecular dynamics simulations, as well as the assignment of tunnel functionality, and we identify critical steps for careful tunnel inspection. We also compare the entropy values of the tunnel-lining residues and system-specific compartments in seven selected sEHs from different clades. We present three different cases of entropy distribution among tunnel-lining residues. As a result, we propose a 'perforation' model for tunnel evolution via the merging of internal cavities or surface perforations. We also report an approach for the identification of highly variable tunnel-lining residues as potential targets to be used for the fine-tuning of selected enzymes.