One-Class Convolutional Neural Network (OC-CNN) Model for Rapid Bridge Damage Detection Using Bridge Response Data

Evaluation of structural integrity of railway bridge using acceleration data and semi-supervised learning approach

(2021) Jun S. Lee et al.   ENGINEERING STRUCTURES

Performance of Camera-Based Vibration Monitoring Systems in Input-Output Modal Identification Using Shaker Excitation

(2021) Maksat Kalybek et al.   Remote Sensing

Structural health monitoring using wireless smart sensor network – An overview

(2021) A. Sofi et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Damage detection for bridge structures under vehicle loads based on frequency decay induced by breathing cracks

(2021) Jinsong Zhu et al.   Structure and Infrastructure Engineering

A methodological approach towards evaluating structural damage severity using 1D CNNs

(2021) Mohammad Almutairi et al.   Structures

Data-Driven Structural Health Monitoring and Damage Detection through Deep Learning: State-of-the-Art Review

(2020) Mohsen Azimi et al.   SENSORS

Physics-guided convolutional neural network (PhyCNN) for data-driven seismic response modeling

(2020) Ruiyang Zhang et al.   ENGINEERING STRUCTURES

Field experiment on a PSC-I bridge for convolutional autoencoder-based damage detection

(2020) Kanghyeok Lee et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Unsupervised deep learning approach using a deep auto-encoder with an one-class support vector machine to detect structural damage

(2020) Zilong Wang et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Deep learning-based detection of structural damage using time-series data

(2020) Hung V. Dang et al.   Structure and Infrastructure Engineering

Vibration‐based structural state identification by a 1‐dimensional convolutional neural network

(2019) Youqi Zhang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

A Machine Learning Approach to Bridge-Damage Detection Using Responses Measured on a Passing Vehicle

(2019) Abdollah Malekjafarian et al.   SENSORS

Using drive-by health monitoring to detect bridge damage considering environmental and operational effects

(2019) William Locke et al.   JOURNAL OF SOUND AND VIBRATION

A Damage Localization Approach for Rahmen Bridge Based on Convolutional Neural Network

(2019) Kanghyeok Lee et al.   KSCE Journal of Civil Engineering

A novel unsupervised deep learning model for global and local health condition assessment of structures

(2018) Mohammad Hossein Rafiei et al.   ENGINEERING STRUCTURES

Wireless and real-time structural damage detection: A novel decentralized method for wireless sensor networks

(2018) Onur Avci et al.   JOURNAL OF SOUND AND VIBRATION

Application of Internet of Things Technology and Convolutional Neural Network Model in Bridge Crack Detection

(2018) Liyan Zhang et al.   IEEE Access

Deep principal component analysis: An enhanced approach for structural damage identification

(2018) Moisés Silva et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Deep learning and its applications to machine health monitoring

(2018) Rui Zhao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks

(2017) Osama Abdeljaber et al.   JOURNAL OF SOUND AND VIBRATION

The use of a non-probabilistic artificial neural network to consider uncertainties in vibration-based-damage detection

(2017) Khairul H. Padil et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Feasibility of using digital image correlation for unmanned aerial vehicle structural health monitoring of bridges

(2017) Daniel Reagan et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Monitoring the Dynamic Behavior of The Merlynston Creek Bridge Using Interferometric Radar Sensors and Finite Element Modeling

(2017) Bidur Kafle et al.   International Journal of Applied Mechanics

Output-only damage detection using vehicle-induced displacement response and mode shape curvature index

(2016) Dongming Feng et al.   Structural Control & Health Monitoring

A global expectation-maximization based on memetic swarm optimization for structural damage detection

(2016) Adam Santos et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Deep learning

(2015) Yann LeCun et al.   NATURE

Dynamic Responses of Simply Supported Girder Bridges to Moving Vehicular Loads Based on Mathematical Methods

(2014) Qingfei Gao et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Application of Neural Network for Prediction of Unmeasured Mode Shape in Damage Detection

(2013) Lyn Dee Goh et al.   ADVANCES IN STRUCTURAL ENGINEERING

The application of a damage detection method using Artificial Neural Network and train-induced vibrations on a simplified railway bridge model

(2013) Jiangpeng Shu et al.   ENGINEERING STRUCTURES

Bridge-vehicle coupled vibration response and static test data based damage identification of highway bridges

(2013) Jinsong Zhu et al.   STRUCTURAL ENGINEERING AND MECHANICS

Identification of flutter derivatives from full-scale ambient vibration measurements of the Clifton Suspension Bridge

(2013) Nikolaos Nikitas et al.   WIND AND STRUCTURES

Identification of Dynamic Vehicular Axle Loads: Theory and Simulations

(2010) Lu Deng et al.   JOURNAL OF VIBRATION AND CONTROL

Potential and Limitations of a Deconvolution Approach for Guided Wave Structural Health Monitoring

(2009) T. Cicero et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Damage detection of truss bridge joints using Artificial Neural Networks

(2007) M. Mehrjoo et al.   EXPERT SYSTEMS WITH APPLICATIONS