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A Review on Damage Monitoring and Identification Methods for Arch Bridges

Buildings, 2023
The damage monitoring and identification of arch bridges provide an important means to ensure the safe operation of arch bridges. At present, many methods have been developed, and the applicability and effectiveness of these methods depend on the damage ...
Jiafeng Yang, Lei Huang, Kai Tong, Qizhi Tang, Houxuan Li, Haonan Cai, Jingzhou Xin   +6 more
doaj   +3 more sources

Research on Damage Identification in Transmission Tower Structures Based on Cross-Correlation Function Amplitude Vector [PDF]

Sensors
Transmission towers constitute critical power infrastructure, yet structural damage may accumulate over their long-term service, underscoring the paramount importance of research on damage identification.
Qing Zhang, Xing Fu, Wenqiang Jiang, Hengdong Jin   +3 more
doaj   +2 more sources

Damage Identification Using Measured and Simulated Guided Wave Damage Interaction Coefficients Predicted Ad Hoc by Deep Neural Networks [PDF]

Sensors
Thin-walled structures are widely used in aeronautical and aerospace engineering due to their light weight and high structural performance. Ensuring their integrity is crucial for safety and reliability, which is why structural health monitoring (SHM ...
Christoph Humer, Simon Höll, Martin Schagerl   +2 more
doaj   +2 more sources

Auto-Regressive Integrated Moving-Average Machine Learning for Damage Identification of Steel Frames

Applied Sciences, 2021
Auto-regressive (AR) time series (TS) models are useful for structural damage detection in vibration-based structural health monitoring (SHM). However, certain limitations, e.g., non-stationarity and subjective feature selection, have reduced its wide ...
Yuqing Gao, Khalid M. Mosalam, Yueshi Chen, Wei Wang, Yiyi Chen   +4 more
doaj   +1 more source

Damage Detection of Continuous Beam Bridge Based on Maximum Successful Approximation Approach of Wavelet Coefficients of Vehicle Response

Applied Sciences, 2022
In view of problems such as closed traffic, the large number of sensors required, and the labor-intensive and time-consuming nature of previous bridge detection, this paper analyzes the dynamic response of the vehicle body of the continuous girder bridge
Kai Liu, Haopeng Qi, Zengshou Sun
doaj   +1 more source

Damage assessment in beam-like structures by correlation of spectrum using machine learning

Fracture and Structural Integrity, 2023
Damage assessment in the actual operating process of the structure is a modern and exciting problem of construction engineering due to several practical knowledge about the current condition of the inspected structures.
Luan Vuong-Cong, Toan Pham-Bao, Nhi Ngo-Kieu   +2 more
doaj   +1 more source

A Multi-Fidelity Deep Neural Network Approach to Structural Health Monitoring

Engineering Proceedings, 2022
The structural health monitoring (SHM) of civil structures and infrastructures is becoming a crucial issue in our smart and hyper-connected age. Due to structural aging and to unexpected loading conditions, partially linked to extreme events caused by ...
Matteo Torzoni, Andrea Manzoni, Stefano Mariani   +2 more
doaj   +1 more source

Damage Identification of Long-Span Bridges Using the Hybrid of Convolutional Neural Network and Long Short-Term Memory Network

Algorithms, 2021
The shallow features extracted by the traditional artificial intelligence algorithm-based damage identification methods pose low sensitivity and ignore the timing characteristics of vibration signals.
Lei Fu, Qizhi Tang, Peng Gao, Jingzhou Xin, Jianting Zhou   +4 more
doaj   +1 more source

Damage Identification in Hangers of Through-Arch Bridges Using Static Deflection Difference at the Anchorage Point

Applied Sciences, 2021
This study proposes a new damage identification method for hangers of arch bridges using the static deflection difference at the anchorage point of the hanger and the tie-beam.
Weiwei Wang, Mubiao Su
doaj   +1 more source

Damage Identification Method Using Additional Virtual Mass Based on Damage Sparsity

Applied Sciences, 2021
Damage identification methods based on structural modal parameters are influenced by the structure form, number of measuring sensors and noise, resulting in insufficient modal data and low damage identification accuracy.
Qingxia Zhang, Dengzheng Xu, Jilin Hou, Łukasz Jankowski, Haiyan Wang   +4 more
doaj   +1 more source