Structural damage detection based on convolutional neural networks and population of bridges

A new model updating strategy with physics-based and data-driven models

(2021) Yongyong Xiang et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Multi-Sensor and Decision-Level Fusion-Based Structural Damage Detection Using a One-Dimensional Convolutional Neural Network

(2021) Shuai Teng et al.   SENSORS

A novel interval model updating framework based on correlation propagation and matrix-similarity method

(2021) Baopeng Liao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Structural Damage Features Extracted by Convolutional Neural Networks from Mode Shapes

(2020) Kefeng Zhong et al.   Applied Sciences-Basel

A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications

(2020) Onur Avci et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Foundations of Population-based SHM, Part II: Heterogeneous populations – Graphs, networks, and communities

(2020) J. Gosliga et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Foundations of population-based SHM, Part III: Heterogeneous populations – Mapping and transfer

(2020) P. Gardner et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

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

Modal Strain Energy-Based Structural Damage Detection Using Convolutional Neural Networks

(2019) Shuai Teng et al.   Applied Sciences-Basel

Machine learning based novelty detection using modal analysis

(2019) Ali I. Ozdagli et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Structural damage detection using convolutional neural networks combining strain energy and dynamic response

(2019) Shuai Teng et al.   MECCANICA

Automatic classification of pavement crack using deep convolutional neural network

(2018) Baoxian Li et al.   International Journal of Pavement Engineering

Vibration-based damage detection for a population of nominally identical structures: Unsupervised Multiple Model (MM) statistical time series type methods

(2018) K.J. Vamvoudakis-Stefanou et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A novel deep learning-based method for damage identification of smart building structures

(2018) Yang Yu et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

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

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

Wavelet Decompositions for High Frequency Vibrational Analyses of Plates

(2017) Su Zhang et al.   International Journal of Applied Mechanics

A machine-learning approach for structural damage detection using least square support vector machine based on a new combinational kernel function

(2016) Ramin Ghiasi et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

The Vibration Monitoring Methods and Signal Processing Techniques for Structural Health Monitoring: A Review

(2015) D. Goyal et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Structural Damage Detection Using Modal Strain Energy and Hybrid Multiobjective Optimization

(2015) Young-Jin Cha et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Cross-validation for selecting a model selection procedure

(2015) Yongli Zhang et al.   JOURNAL OF ECONOMETRICS

Crack detection in a rotating shaft using artificial neural networks and PSD characterisation

(2013) A. A. Mohammed et al.   MECCANICA

Dynamic-Based Damage Identification Using Neural Network Ensembles and Damage Index Method

(2010) Ulrike Dackermann et al.   ADVANCES IN STRUCTURAL ENGINEERING