Traffic Safety Evaluation for Railway Bridges Using Expanded Multisensor Data Fusion-Reference-Cited by-同舟云学术

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Traffic Safety Evaluation for Railway Bridges Using Expanded Multisensor Data Fusion

Published:2016-06-06 Issue:10 Volume:31 Page:749-760
ISSN:1093-9687
Container-title:Computer-Aided Civil and Infrastructure Engineering
language:en
Short-container-title:Computer-Aided Civil and Infrastructure Engineering

Author:

Park Jong-Woong¹,Lee Kyoung-Chan²,Sim Sung-Han³,Jung Hyung-Jo⁴,Spencer Billie F.¹

Affiliation:

1. Department of Civil and Environmental Engineering; University of Illinois at Urbana-Champaign; Urbana IL USA

2. High-Speed Railroad Systems Research Center; Korea Railroad Research Institute; Uiwang Republic of Korea

3. School of Urban and Environmental Engineering; Ulsan National Institute of Science and Technology (UNIST); Ulsan Republic of Korea

4. Department of Civil and Environmental Engineering; Korea Advanced Institute of Science and Technology (KAIST); Daejeon Republic of Korea

Funder

Korea Railroad Research Institute

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering

Reference42 articles.

1. Signal processing techniques for vibration-based health monitoring of smart structures;Amezquita-Sanchez;Archives of Computational Methods in Engineering,2014

2. A test method for damage diagnosis of suspension bridge suspender cables;An;Computer-Aided Civil and Infrastructure Engineering,2015

3. Passive and adaptive damping systems for vibration mitigation and increased fatigue service life of a tied arch railway bridge;Andersson;Computer-Aided Civil and Infrastructure Engineering,2015

4. An alternate double-single track proposal for high-speed peripheral railway lines;Castillo;Computer-Aided Civil and Infrastructure Engineering,2014

5. Structural damage detection using modal strain energy and hybrid multiobjective optimization;Cha;Computer-Aided Civil and Infrastructure Engineering,2015

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1. Damage detection based on accelerometers and computer vision measurements of moving load-induced structural responses;Mechanical Systems and Signal Processing;2024-04

2. New Sensors and Digital Data Processing Algorithms for Monitoring Railway Bridges;Digital Innovations in Architecture, Engineering and Construction;2024

3. High‐resolution model reconstruction and bridge damage detection based on data fusion of unmanned aerial vehicles light detection and ranging data imagery;Computer-Aided Civil and Infrastructure Engineering;2023-12-12

4. Integration of multi-point influence line information for damage localization of bridge structures;Journal of Civil Structural Health Monitoring;2023-11-17

5. Intelligent recognition of defects in high‐speed railway slab track with limited dataset;Computer-Aided Civil and Infrastructure Engineering;2023-10-12

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