A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
Monitoring structural damage is extremely important for sustaining and preserving the
service life of civil structures. While successful monitoring provides resolute and staunch …
service life of civil structures. While successful monitoring provides resolute and staunch …
[HTML][HTML] Review of finite element model updating methods for structural applications
At the time of designing structures up to date, the density and magnitude of the load have
increased, and the requirements for regulation have also become more stringent. To ensure …
increased, and the requirements for regulation have also become more stringent. To ensure …
Machine learning algorithms in civil structural health monitoring: A systematic review
M Flah, I Nunez, W Ben Chaabene… - Archives of computational …, 2021 - Springer
Abstract Applications of Machine Learning (ML) algorithms in Structural Health Monitoring
(SHM) have become of great interest in recent years owing to their superior ability to detect …
(SHM) have become of great interest in recent years owing to their superior ability to detect …
Vibration‐based structural condition assessment using convolution neural networks
H Khodabandehlou, G Pekcan… - Structural Control and …, 2019 - Wiley Online Library
A novel vibration‐based structural health monitoring (SHM) approach that uses two‐
dimensional deep convolution neural networks (CNN) is introduced. The CNN extracts the …
dimensional deep convolution neural networks (CNN) is introduced. The CNN extracts the …
Unsupervised learning methods for data-driven vibration-based structural health monitoring: a review
Structural damage detection using unsupervised learning methods has been a trending
topic in the structural health monitoring (SHM) research community during the past decades …
topic in the structural health monitoring (SHM) research community during the past decades …
An in-depth survey demystifying the Internet of Things (IoT) in the construction industry: Unfolding new dimensions
In this digital era, many industries have widely adopted the Internet of Things (IoT), yet its
implementation in the construction industry is relatively limited. Integration of Construction …
implementation in the construction industry is relatively limited. Integration of Construction …
Monitoring of transport infrastructure exposed to multiple hazards: A roadmap for building resilience
DV Achillopoulou, SA Mitoulis, SA Argyroudis… - Science of the total …, 2020 - Elsevier
Monitoring-enhanced resilience in transport management is emerging together with the new
technologies and digital data, however have not been fully explored yet. Digital technologies …
technologies and digital data, however have not been fully explored yet. Digital technologies …
Effects of environmental and operational conditions on structural health monitoring and non-destructive testing: A systematic review
The development of Structural Health Monitoring (SHM) and Non-Destructive Testing (NDT)
techniques has rapidly evolved and matured over the past few decades. Advances in sensor …
techniques has rapidly evolved and matured over the past few decades. Advances in sensor …
A drive-by bridge inspection framework using non-parametric clusters over projected data manifolds
Developing robust bridge health monitoring (BHM) frameworks based on the vehicle-
mounted sensing, or so-called indirect structural health monitoring (SHM) or Drive-by Bridge …
mounted sensing, or so-called indirect structural health monitoring (SHM) or Drive-by Bridge …
Structural health monitoring and management of cultural heritage structures: a state-of-the-art review
In recent decades, the urgency to protect and upgrade cultural heritage structures (CHS) has
become of primary importance due to their unique value and potential areas of impact …
become of primary importance due to their unique value and potential areas of impact …