Unsupervised Machine Learning for Robust Bridge Damage Detection: Full-Scale Experimental Validation
Author:
Funder
National Science Foundation
Publisher
Elsevier BV
Subject
Civil and Structural Engineering
Reference91 articles.
1. Damage detection in structural systems utilizing artificial neural networks and proper orthogonal decomposition;Eftekhar Azam;Structural Control and Health Monitoring.,2019
2. Automated, strain-based, output-only bridge damage detection;Rageh;Journal of Civil Structural Health Monitoring.,2018
3. Railway bridge structural health monitoring and fault detection: State-of-the-art methods and future challenges;Vagnoli;Structural Health Monitoring.,2018
4. Stochastic modeling of deterioration in buildings and civil infrastructure;Kumar,2013
5. Routine highway bridge inspection condition documentation accuracy and reliability;Phares;J Bridge Eng.,2004
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