Monitoring Railway Bridge KW51 Before, During, and After Retrofitting-Reference-Cited by-同舟云学术

Monitoring Railway Bridge KW51 Before, During, and After Retrofitting

Published:2021-03 Issue:3 Volume:26 Page:04721001
ISSN:1084-0702
Container-title:Journal of Bridge Engineering
language:en
Short-container-title:J. Bridge Eng.

Author:

Maes K.¹^ORCID,Lombaert G.²

Affiliation:

1. KU Leuven, Dept. of Civil Engineering, B-3001 Leuven, Belgium (corresponding author). ORCID: .

2. KU Leuven, Dept. of Civil Engineering, B-3001 Leuven, Belgium.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29BE.1943-5592.0001668

Reference11 articles.

1. The modal assurance criterion – twenty years of use and abuse;Allemang R. J.;Sound Vib. Mag.,2003

2. Vibration-based structural health monitoring using output-only measurements under changing environment

3. Maes K. and G. Lombaert. 2020. “Monitoring data for railway bridge KW51 in Leuven Belgium before during and after retrofitting. V1.0.” Zenodo. Accessed April 10 2020. https://doi.org/10.5281/zenodo.3745914.

4. Online automatic identification of the modal parameters of a long span arch bridge

Cited by 48 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. Transferring damage detection knowledge across rotating machines and framed structures: Harnessing domain adaptation and contrastive learning;Mechanical Systems and Signal Processing;2024-12

2. Removal of freezing effects from modal frequencies of civil structures for structural health monitoring;Engineering Structures;2024-11

3. Combining Compressed Sensing and Neural Architecture Search for Sensor-Near Vibration Diagnostics;IEEE Transactions on Industrial Informatics;2024-08

4. Discussing optimal sensor placement for ambient vibration test of an existing bridge;Engineering Structures;2024-07

5. CBLA: Empowering Virtual Sensor Nodes with Zero Deployment Costs for SHM Systems;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30