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Research article

First published 2021-6

A Bayesian Belief Network method for bridge deterioration detection

Matteo Vagnoli, Rasa Remenyte-Prescott, John Andrews

Proceedings of the Institution of Mechanical Engineers,Part O: Journal of Risk and Reliability

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Research article

First published 2001-4

Nondestructive Damage Detection of Bridges: A Status Review

Xiaotong Wang, Chih-Chen Chang, Lichu Fan

Advances in Structural Engineering

Open access

Review article

First published 2022-9

Review of artificial intelligence-based bridge damage detection

Yang Zhang, Ka-Veng Yuen

Advances in Mechanical Engineering

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Research article

First published 2015-9

Fast damage detection of cable-stayed bridges using an improved edge-detection method

Guirong Yan, Peng Chen, Guangda Hu [...]

Journal of Intelligent Material Systems and Structures

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Research article

First published 2025

Bridge damage detection using unsupervised learning with vehicle-induced vibrations

Yan Zeng, Dongming Feng, Ye Xia [...]

Structural Health Monitoring

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Research article

First published 2009-09

Damage Detection of Shear Connectors in Composite Bridges

K. Liu, G. De Roeck

Structural Health Monitoring

Open access

Research article

First published 2017-9

Stereovision-based surface flaws detection experiment of foundations of Yiqiao Bridge

Baohua Shan, Yu Yan, Hai Wang [...]

Advances in Mechanical Engineering

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Research article

First published 2021-7

Field experiment on a PSC-I bridge for convolutional autoencoder-based damage detection

Kanghyeok Lee, Seunghoo Jeong, Sung-Han Sim [...]

Structural Health Monitoring

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Research article

First published 2019-11

Vibration-based dual-criteria approach for damage detection in arch bridges

Nirmani Jayasundara, David Thambiratnam, Tommy Chan [...]

Structural Health Monitoring

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Research article

First published 2020-10-21

Anomaly detection of bridge health monitoring data based on KNN algorithm

Zhen Lei, Liang Zhu, Youliang Fang [...]

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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