Enhancing bridge damage assessment: Adaptive cell and deep learning approaches in time-series analysis
In recent years, the application of Deep Learning (DL) for damage detection in Structural
Health Monitoring (SHM) using time-series data has garnered significant attention from the …
Health Monitoring (SHM) using time-series data has garnered significant attention from the …
Towards vibration-based damage detection of civil engineering structures: overview, challenges, and future prospects
In this paper, we delve into the evolving landscape of vibration-based structural damage
detection (SDD) methodologies, emphasizing the pivotal role civil structures play in society's …
detection (SDD) methodologies, emphasizing the pivotal role civil structures play in society's …
Concrete acoustic emission signal augmentation method based on generative adversarial networks
W Fu, R Zhou, Z Guo - Measurement, 2024 - Elsevier
With the development of concrete structure health monitoring (SHM), the utilization of
acoustic emission (AE) as an effective non-destructive testing method has attracted …
acoustic emission (AE) as an effective non-destructive testing method has attracted …
A novel unsupervised deep learning approach for vibration-based damage diagnosis using a multi-head self-attention LSTM autoencoder
S Ghazimoghadam, SAA Hosseinzadeh - Measurement, 2024 - Elsevier
While vibration-based structural health monitoring (SHM) has seen advances with
unsupervised deep learning, limitations remain in localizing and quantifying structural …
unsupervised deep learning, limitations remain in localizing and quantifying structural …
An interpretable TFAFI-1DCNN-LSTM framework for UGW-based pre-stress identification of steel strands
L Zhang, J Jia, Y Bai, X Du, B Guo, H Guo - Mechanical Systems and Signal …, 2025 - Elsevier
Steel strands serve as the key load-bearing components of pre-stressed bridges, yet the
identification of effective pre-stress for steel strands is a challenging task. In this study, a time …
identification of effective pre-stress for steel strands is a challenging task. In this study, a time …
[HTML][HTML] Transfer learning in bridge monitoring: Laboratory study on domain adaptation for population-based SHM of multispan continuous girder bridges
The presence of sufficient labelled data associated to various environmental conditions and
damage scenarios often represents a challenge for the applicability of supervised-learning …
damage scenarios often represents a challenge for the applicability of supervised-learning …
SHM data compression and reconstruction based on IGWO-OMP algorithm
L Zhang, J Jia, Y Bai, X Du, P Lin, H Guo - Engineering Structures, 2024 - Elsevier
The long-term operating structural health monitoring (SHM) system generates massive
monitoring data, whose transmission and storage are challenging tasks. To address this …
monitoring data, whose transmission and storage are challenging tasks. To address this …
A two-step approach for damage identification in bridge structure using convolutional Long Short-Term Memory with augmented time-series data
L Nguyen-Ngoc, H Tran-Ngoc, T Le-Xuan… - … in Engineering Software, 2024 - Elsevier
This paper presents a novel two-step approach to identifying structural damages in bridge
structure through the integration of 1D Convolutional Neural Network (1DCNN) and Long …
structure through the integration of 1D Convolutional Neural Network (1DCNN) and Long …
Damage identification based on the inner product matrix and parallel convolution neural network for frame structure
Y He, J Feng, B Sun, F Wang, L Zhang, J Jiang - Scientific Reports, 2024 - nature.com
Structural health monitoring based on vibration signal analysis has been extensively
employed for damage identification. Mainstream machine learning techniques, such as …
employed for damage identification. Mainstream machine learning techniques, such as …
[HTML][HTML] A Novel Method of Bridge Deflection Prediction Using Probabilistic Deep Learning and Measured Data
The deflection control of the main girder in suspension bridges, as flexible structures, is
critically important during their operation. To predict the vertical deflection of existing …
critically important during their operation. To predict the vertical deflection of existing …