Recent progress and future trends on damage identification methods for bridge structures-Reference-Cited by-同舟云学术

Recent progress and future trends on damage identification methods for bridge structures

Published:2019-07-17 Issue:10 Volume:26 Page:
ISSN:1545-2255
Container-title:Structural Control and Health Monitoring
language:en
Short-container-title:Struct Control Health Monit

Author:

An Yonghui¹^ORCID,Chatzi Eleni²,Sim Sung‐Han³^ORCID,Laflamme Simon⁴,Blachowski Bartlomiej⁵,Ou Jinping¹

Affiliation:

1. Department of Civil Engineering, State Key Laboratory of Coastal and Offshore EngineeringDalian University of Technology Dalian China

2. Department of Civil, Environmental, and Geomatic EngineeringETH Zurich Zurich Switzerland

3. School of Urban and Environmental EngineeringUlsan National Institute of Science and Technology Ulsan Republic of Korea

4. Department of Civil, Construction and Environmental EngineeringIowa State University Ames Iowa USA

5. Department of Intelligent Technologies, Institute of Fundamental Technological ResearchPolish Academy of Sciences Warsaw Poland

Funder

National Natural Science Foundation of China

National Basic Research Program of China

Fundamental Research Funds for the Central Universities

Publisher

Wiley

Subject

Mechanics of Materials,Building and Construction,Civil and Structural Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/stc.2416

Reference228 articles.

1. Bridge damage detection using spatiotemporal patterns extracted from dense sensor network

2. Structural health monitoring of civil infrastructure

3. SimSH SpencerBF.Decentralized identification and multimetric monitoring of civil infrastructure using smart sensors.Newmark Structural Laboratory Report Series2015; University of Illinois at Urbana‐Champaign Report 38.

4. Compressed sensing embedded in an operational wireless sensor network to achieve energy efficiency in long-term monitoring applications

5. AdamN AbdaouiA BadawyA ElfoulyT AhmedM ShehataM.Structural health monitoring using wireless sensor networks: a comprehensive survey. IEEE Communications Surveys & Tutorials 2017.

Cited by 221 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. Vibration-based methods for local damage identification of breathing cracks in truss-like structures;Journal of Sound and Vibration;2024-12

2. Structural damage identification based on Wasserstein Generative Adversarial Network with gradient penalty and dynamic adversarial adaptation network;Mechanical Systems and Signal Processing;2024-12

3. Bridge damage location and quantification under the moving vehicle loads based on deep learning multi-objective regression;Engineering Structures;2024-12

4. Cause-agnostic bridge damage state identification utilising machine learning;Engineering Structures;2024-12

5. Using the load distribution between girders to monitor the condition of bridges;Engineering Structures;2024-11