Damage detection of truss bridge joints using Artificial Neural Networks

Author:

Mehrjoo M.,Khaji N.,Moharrami H.,Bahreininejad A.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference27 articles.

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2. Fatigue analysis and life prediction of bridges with structural health monitoring data – Part II: application;Chan;International Journal of Fatigue,2001

3. Neural network novelty filtering for anomaly detection of Tsing Ma Bridge cables;Chan,1999

4. Classification of wavelet map patterns using multi-layer neural networks for gear fault detection;Chen;Mechanical Systems and Signal Processing,2002

5. Vibration of cracked structures: a state of the art review;Dimarogonas;Engineering Fracture Mechanics,1996

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4. Identification of damaged member in a truss structure using acoustic emission technique aided by SVM;Structural Health Monitoring;2024-04-16

5. Prediction of multiple transverse cracks in a composite beam using hybrid RNN-mPSO technique;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2024-03-22

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