Recent progress and future trends on damage identification methods for bridge structures

Y An, E Chatzi, SH Sim, S Laflamme… - … Control and Health …, 2019 - Wiley Online Library
Damage identification forms a key objective in structural health monitoring. Several state‐of‐
the‐art review papers regarding progress in this field up to 2011 have been published. This …

Structural damage detection with automatic feature‐extraction through deep learning

Y Lin, Z Nie, H Ma - Computer‐Aided Civil and Infrastructure …, 2017 - Wiley Online Library
Structural damage detection is still a challenging problem owing to the difficulty of extracting
damage‐sensitive and noise‐robust features from structure response. This article presents a …

Early damage detection by an innovative unsupervised learning method based on kernel null space and peak‐over‐threshold

H Sarmadi, KV Yuen - Computer‐Aided Civil and Infrastructure …, 2021 - Wiley Online Library
This article proposes an innovative unsupervised learning method for early damage
detection and long‐term structural health monitoring of civil structures under environmental …

Detecting structural damage under unknown seismic excitation by deep convolutional neural network with wavelet-based transmissibility data

Y Lei, Y Zhang, J Mi, W Liu… - Structural Health …, 2021 - journals.sagepub.com
Many research groups in the structural health monitoring community have made efforts to
utilize deep learning-based approaches for damage detection on a variety of structures …

A decentralized unsupervised structural condition diagnosis approach using deep auto‐encoders

K Jiang, Q Han, X Du, P Ni - Computer‐Aided Civil and …, 2021 - Wiley Online Library
In this paper, the ideas of deep auto‐encoder (DAE) and manifold learning are adopted to
solve the problem of structural condition diagnosis. A scalable decentralized end‐to‐end …

One-dimensional convolutional neural network for damage detection of jacket-type offshore platforms

X Bao, T Fan, C Shi, G Yang - Ocean Engineering, 2021 - Elsevier
Vibration-based damage detection techniques play an important role in health monitoring of
offshore structures. This study explores the possibility to use the one-dimensional …

A deep learning-based bridge damage detection and localization method

H Sun, L Song, Z Yu - Mechanical Systems and Signal Processing, 2023 - Elsevier
Existing studies have utilized highly efficient partial least-squares regression (PLSR) to
estimate nodal loads of the entire bridge using a small number of bridge sensors, and when …

Predicting fatigue damage of highway suspension bridge hangers using weigh-in-motion data and machine learning

Y Deng, M Zhang, DM Feng, AQ Li - Structure and Infrastructure …, 2021 - Taylor & Francis
Continuous and real-time tension force monitoring is a key point in fatigue damage
evaluation for bridge suspenders or hangers. Usually, effective sensors are not equipped in …

Statistical time features for global corrosion assessment in a truss bridge from vibration signals

JJ Yanez-Borjas, M Valtierra-Rodriguez… - Measurement, 2020 - Elsevier
Truss-type structures are commonly used for configuring civil structures such as bridges, roof
supports, cranes, among others. However, they are susceptible to suffer different types of …

Rapid impact testing and system identification of footbridges using particle image velocimetry

Y Tian, J Zhang, S Yu - Computer‐Aided Civil and …, 2019 - Wiley Online Library
The rapid impact testing of bridges contains unique advantages. For example, structural
parameters, including frequency response function and structural flexibility matrix can be …