Research on Damage Identification in Transmission Tower Structures Based on Cross-Correlation Function Amplitude Vector [PDF]
SensorsTransmission 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 +3 more
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Damage Identification and Quantification in Beams Using Wigner-Ville Distribution [PDF]
Sensors, 2020 The paper presents the novel method of damage identification and quantification in beams using the Wigner-Ville distribution (WVD). The presented non-parametric method is characterized by high sensitivity to a local stiffness decrease due to the presence
Andrzej Katunin
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Structural Damage Identification Based on Transmissibility in Time Domain [PDF]
Sensors, 2022 Structural damage identification technology is of great significance to improve the reliability and safety of civil structures and has attracted much attention in the study of structural health monitoring.
Yunfeng Zou +4 more
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Damage Identification Using Measured and Simulated Guided Wave Damage Interaction Coefficients Predicted Ad Hoc by Deep Neural Networks [PDF]
SensorsThin-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 +2 more
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Seismic Damage Identification Method for Curved Beam Bridges Based on Wavelet Packet Norm Entropy [PDF]
Sensors, 2021 Curved beam bridges, whose line type is flexible and beautiful, are an indispensable bridge type in modern traffic engineering. Nevertheless, compared with linear bridges, curved beam bridges have more complex internal forces and deformation due to the ...
Tongfa Deng +4 more
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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 +4 more
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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
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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 +2 more
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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 +6 more
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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 +2 more
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