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Shock and Vibration
Volume 2015 (2015), Article ID 789384, 11 pages
http://dx.doi.org/10.1155/2015/789384
Research Article

Bridge Damage Severity Quantification Using Multipoint Acceleration Measurement and Artificial Neural Networks

1Department of Civil and Environmental Engineering, Ehime University, Matsuyama, Ehime 790-8577, Japan
2West Nippon Expressway Engineering Shikoku Company Ltd., Takamatsu, Kagawa 760-0072, Japan

Received 1 March 2015; Revised 6 April 2015; Accepted 7 April 2015

Academic Editor: Jiawei Xiang

Copyright © 2015 Pang-jo Chun et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Pang-jo Chun, Hiroaki Yamashita, and Seiji Furukawa, “Bridge Damage Severity Quantification Using Multipoint Acceleration Measurement and Artificial Neural Networks,” Shock and Vibration, vol. 2015, Article ID 789384, 11 pages, 2015. doi:10.1155/2015/789384