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A New Benchmark Problem for Structural Damage Detection: Bolt Loosening Tests on a Large-Scale Laboratory Structure
(
Springer
, 2022 , Conference)
Monitoring the structural performance of engineering structures has always been pertinent for maintaining structural health and assessing the life cycle of structures. Structural Health Monitoring (SHM) and Structural ...
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
(
Academic Press
, 2021 , Article Review)
Monitoring structural damage is extremely important for sustaining and preserving the service life of civil structures. While successful monitoring provides resolute and staunch information on the health, serviceability, ...
Structural damage detection in real time: Implementation of 1D convolutional neural networks for SHM applications
(
Springer
, 2017 , Conference)
Most of the classical structural damage detection systems involve two processes, feature extraction and feature classification. Usually, the feature extraction process requires large computational effort which prevent the ...
Convolutional neural networks for real-time and wireless damage detection
(
Springer New York LLC
, 2020 , Conference)
Structural damage detection methods available for structural health monitoring applications are based on data preprocessing, feature extraction, and feature classification. The feature classification task requires considerable ...
Structural health monitoring with self-organizing maps and artificial neural networks
(
Springer New York LLC
, 2020 , Conference)
The use of self-organizing maps and artificial neural networks for structural health monitoring is presented in this paper. The authors recently developed a nonparametric structural damage detection algorithm for extracting ...
Quantification of structural damage with self-organizing maps
(
Springer New York LLC
, 2016 , Conference)
One of the main tasks in structural health monitoring process is to create reliable algorithms that are capable of translating the measured response into meaningful information reflecting the actual condition of the monitored ...
Nonparametric structural damage detection algorithm for ambient vibration response: Utilizing artificial neural networks and self-organizing maps
(
American Society of Civil Engineers (ASCE)
, 2016 , Article)
This study presentes a new nonparametric structural damage detection algorithm that integrates self-organizing maps with a pattern-recognition neural network to quantify and locate structural damage. In this algorithm, ...
Self-organizing maps for structural damage detection: A novel unsupervised vibration-based algorithm
(
American Society of Civil Engineers (ASCE)
, 2016 , Article)
The study presented in this paper is arguably the first study to use a self-organizing map (SOM) for global structural damage detection. A novel unsupervised vibration-based damage detection algorithm is introduced using ...
Progressive image stitching algorithm for vision based automated inspection
(
IEEE Computer Society
, 2016 , Conference)
The increasing number of skyscrapers along with the large number of tall bridges throughout the world also increases the demand of a robust, automated and remotely controlled health monitoring system for civil architectures. ...
Integrity monitoring of cast in-situ piles using thermal approach: A field case study
(
Elsevier
, 2022 , Article)
A review of the literature shows that pile integrity is a significant concern in pile construction; in particular, determining the location and nature of anomalies along the depth of the piles using thermal integrity testing ...