Real-Time Unsupervised Detection of Early Damage in Railway Bridges Using Traffic-Induced Responses-Reference-Cited by-同舟云学术

Real-Time Unsupervised Detection of Early Damage in Railway Bridges Using Traffic-Induced Responses

Published:2021-10-24 Issue: Volume: Page:117-142
ISSN:2522-560X
Container-title:Structural Integrity
language:
Short-container-title:

Author:

Meixedo Andreia,Ribeiro Diogo,Santos João,Calçada Rui,Todd Michael D.

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-81716-9_6

Reference33 articles.

1. Melo LRT, Ribeiro D, Calçada R, Bittencourt TN (2020) Validation of a vertical train–track–bridge dynamic interaction model based on limited experimental data. Struct Infrastruct Eng 16(1):181–201. https://doi.org/10.1080/15732479.2019.1605394

2. Meixedo A, Ribeiro D, Calçada R, Delgado R (2014) Global and local dynamic effects on a railway viaduct with precast deck. In: Proceedings of the second international conference on railway technology: research, development and maintenance. Civil-Comp Press, Stirlingshire. https://doi.org/10.4203/ccp.104.77

3. Rytter A (1993) Vibrational based inspection of civil engineering structures. Dept. of Building Technology and Structural Engineering, Aalborg University, Aalborg

4. Meixedo A, Alves V, Ribeiro D, Cury A, Calçada R (2016) Damage identification of a railway bridge based on genetic algorithms. In: Maintenance, monitoring, safety, risk and resilience of bridges and bridge networks—proceedings of the 8th international conference on bridge maintenance, safety and management, IABMAS 2016, Foz Do Iguaçu; Brazil

5. Cury A, Cremona C (2012) Assignment of structural behaviours in long-term monitoring: application to a strengthened railway bridge. Struct Health Monit 11(4):422–441. https://doi.org/10.1177/1475921711434858

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A strategy for out-of-roundness damage wheels identification in railway vehicles based on sparse autoencoders;Railway Engineering Science;2024-06-19

2. Clustering-Based Classification of Polygonal Wheels in a Railway Freight Vehicle Using a Wayside System;Applied Sciences;2024-04-25

3. Early identification of out-of-roundness damage wheels in railway freight vehicles using a wayside system and a stacked sparse autoencoder;Vehicle System Dynamics;2024-03-27

4. Railway Bridges Health Monitoring Supported by Artificial Intelligence;Digital Innovations in Architecture, Engineering and Construction;2024

5. Research progress and prospect of digital twin in bridge engineering;Advances in Structural Engineering;2023-11-27