Digital twin for smart metro service platform: Evaluating long-term tunnel structural performance

C Zhou, W Qin, H Luo, Q Yu, B Fan, Q Zheng - Automation in Construction, 2024 - Elsevier
The metro system is crucial for urban transportation networks because it significantly
improves traffic flow, with tunnels playing a key role in ensuring the safety and quality of …

The sensing performance of a novel optical cable for tunnel water leakage monitoring based on distributed strain Sensing

H Wang, D Zhang, K Ren, B Shi, J Guo… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
To overcome the shortcomings of the existing water leakage monitoring methods for traffic
and public utility tunnels, such as the high probability of missed detection and significant …

Structural damage detection using low-rank matrix approximation and cointegration analysis

M Xu, W Wu, J Li, FTK Au, S Wang, H Hao… - Engineering Structures, 2022 - Elsevier
This paper proposes a novel approach of time series analysis to identify the potential
changes in structural conditions, eg, degradation owing to accumulated damage. Although …

Long-term monitoring method for tunnel structure transformation using a 3D light detection and ranging equipped in a mobile robot

S Jeong, MG Kim, JY Park… - Structural Health …, 2023 - journals.sagepub.com
This study proposes a long-term health monitoring method for tunnel structure
transformation using a 3D light detection and ranging (LiDAR) equipped in a mobile robot …

A method for monitoring the uneven settlement of shield tunnels considering the flattening effect using distributed strain data measured from BOTDA sensors

Z Zhou, X Ma, Y Liu, H Li - Structural Health Monitoring, 2024 - journals.sagepub.com
When investigating the uneven settlement monitoring of shield tunnels, the influence of the
flattening effect under longitudinal bending is rarely considered, which leads to inaccurate …

Thermomechanical behavior of tunnel linings in the geothermal environment: Field tests and analytical study

Q Wang, M Wang, Y Yuan, Y Hu, H Wang - Tunnelling and Underground …, 2023 - Elsevier
Geothermal environment brings challenge to the construction and maintenance of tunnels.
This motivates the present study on the thermomechanical behavior of the supporting …

Multiclass anomaly detection in imbalanced structural health monitoring data using convolutional neural network

M Zhao, A Sadhu, M Capretz - Journal of Infrastructure Preservation and …, 2022 - Springer
Structural health monitoring (SHM) system aims to monitor the in-service condition of civil
infrastructures, incorporate proactive maintenance, and avoid potential safety risks. An SHM …

Static load identification of nonlinear structure based on internal force estimation exemplified by underground straight-wall arch structure

K Zheng, J Yuan, K Yang, Y Qu, C Gao, J Shi - Structures, 2023 - Elsevier
Due to the complexity of the interaction between surrounding rock and support structure,
underground structures have complex and time-varying boundary conditions that is difficult …

Development of an optimization model for a monitoring point in tunnel stress deduction using a machine learning algorithm

X Tan, W Chen, L Wang, W Ye - Deep Underground Science …, 2024 - Wiley Online Library
Monitoring of the mechanical behavior of underwater shield tunnels is vital for ensuring their
long‐term structural stability. Typically determined by empirical or semi‐empirical methods …

A novel autoencoder for structural anomalies detection in river tunnel operation

TAN Xu-Yan, S Palaiahnakote, W Chen… - Expert Systems with …, 2024 - Elsevier
Anomaly diagnosis is essential to prevent disasters and ensure long-term stable operation
of tunnels. However, the diversity and scarcity of abnormal data make it difficult to identify …