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 …
Emerging artificial intelligence methods in structural engineering
H Salehi, R Burgueño - Engineering structures, 2018 - Elsevier
Artificial intelligence (AI) is proving to be an efficient alternative approach to classical
modeling techniques. AI refers to the branch of computer science that develops machines …
modeling techniques. AI refers to the branch of computer science that develops machines …
Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks
Structural health monitoring (SHM) and vibration-based structural damage detection have
been a continuous interest for civil, mechanical and aerospace engineers over the decades …
been a continuous interest for civil, mechanical and aerospace engineers over the decades …
1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data
Structural damage detection has been an interdisciplinary area of interest for various
engineering fields. While the available damage detection methods have been in the process …
engineering fields. While the available damage detection methods have been in the process …
Wireless and real-time structural damage detection: A novel decentralized method for wireless sensor networks
Being an alternative to conventional wired sensors, wireless sensor networks (WSNs) are
extensively used in Structural Health Monitoring (SHM) applications. Most of the Structural …
extensively used in Structural Health Monitoring (SHM) applications. Most of the Structural …
Non-probabilistic method to consider uncertainties in frequency response function for vibration-based damage detection using Artificial Neural Network
Artificial neural network (ANN) has become a popular computational approach in the field of
vibration-based damage detection, based on its ability to relate the nonlinear relationship …
vibration-based damage detection, based on its ability to relate the nonlinear relationship …
Structural damage detection in real time: implementation of 1D convolutional neural networks for SHM applications
Most of the classical structural damage detection systems involve two processes, feature
extraction and feature classification. Usually, the feature extraction process requires large …
extraction and feature classification. Usually, the feature extraction process requires large …
Localization and classification of structural damage using deep learning single-channel signal-based measurement
Diligent damage identification is a core thrust of structural health monitoring (SHM).
Vibration-based SHM has recently gained paramount importance. Substantial research …
Vibration-based SHM has recently gained paramount importance. Substantial research …
Unsupervised structural damage detection technique based on a deep convolutional autoencoder
Z Rastin, G Ghodrati Amiri, E Darvishan - Shock and Vibration, 2021 - Wiley Online Library
Structural health monitoring (SHM) is a hot research topic with the main purpose of damage
detection in a structure and assessing its health state. The major focus of SHM studies in …
detection in a structure and assessing its health state. The major focus of SHM studies in …
CycleGAN for undamaged-to-damaged domain translation for structural health monitoring and damage detection
The advances in data science in the last few decades have benefitted many other fields,
including Structural Health Monitoring (SHM). Artificial Intelligence (AI), such as Machine …
including Structural Health Monitoring (SHM). Artificial Intelligence (AI), such as Machine …