Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019
Structural damage identification has received considerable attention during the past
decades. Although several reviews have been presented, some new developments have …
decades. Although several reviews have been presented, some new developments have …
Structural health monitoring research under varying temperature condition: A review
Suffering from solar radiation, day–night replacement and seasonal changes, the structure
will produce notable temperature behaviour, which has a vital effect on the long-term …
will produce notable temperature behaviour, which has a vital effect on the long-term …
Fusing damage-sensitive features and domain adaptation towards robust damage classification in real buildings
Abstract Structural Health Monitoring (SHM) enables the rapid assessment of structural
integrity in the immediate aftermath of strong ground motions. Data-driven techniques, often …
integrity in the immediate aftermath of strong ground motions. Data-driven techniques, often …
Sensor networks for structures health monitoring: Placement, implementations, and challenges—A review
The development of structural health monitoring (SHM) systems and their integration in
actual structures has become a necessity as it can provide a robust and low-cost solution for …
actual structures has become a necessity as it can provide a robust and low-cost solution for …
[HTML][HTML] On using autoencoders with non-standardized time series data for damage localization
In this paper, an autoencoder trained with non-standardized time series data and evaluated
using covariance-based residuals for generally applicable unsupervised damage …
using covariance-based residuals for generally applicable unsupervised damage …
[HTML][HTML] A hierarchical output-only Bayesian approach for online vibration-based crack detection using parametric reduced-order models
This contribution presents a hierarchical Bayesian filter for recursive input, state and
parameter estimation using spatially incomplete and noisy output-only vibration …
parameter estimation using spatially incomplete and noisy output-only vibration …
Structural damage detection based on cross-correlation function with data fusion of various dynamic measurements
X Wang, F Chen, H Zhou, P Ni, L Wang… - Journal of Sound and …, 2022 - Elsevier
To take advantage of various types of dynamic measurement data for structural damage
detection, an identification strategy based on cross-correlation function with data fusion of …
detection, an identification strategy based on cross-correlation function with data fusion of …
Steel railway bridge fatigue damage detection using numerical models and machine learning: Mitigating influence of modeling uncertainty
Stringer-to-floor beam connections were reported as one of the most fatigue-prone details in
riveted steel railway bridges. To detect stiffness degradation that results from the initiation …
riveted steel railway bridges. To detect stiffness degradation that results from the initiation …
A modified teaching–learning optimization algorithm for structural damage detection using a novel damage index based on modal flexibility and strain energy under …
B Ahmadi-Nedushan, H Fathnejat - Engineering with Computers, 2022 - Springer
In this paper, a novel two-stage structural damage detection method using modal flexibility
and strain energy-based index (MFSEBI) and modified teaching–learning-based …
and strain energy-based index (MFSEBI) and modified teaching–learning-based …
Probabilistic damage localization by empirical data analysis and symmetric information measure
This article aims to address some challenges in data-based damage localization by
proposing innovative methods including a hybrid algorithm for feature extraction, a …
proposing innovative methods including a hybrid algorithm for feature extraction, a …