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Mathematical Problems in Engineering
Volume 2013, Article ID 416941, 10 pages
http://dx.doi.org/10.1155/2013/416941
Research Article

Combined Data with Particle Swarm Optimization for Structural Damage Detection

1Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian 116024, China
2College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China

Received 23 October 2012; Accepted 11 December 2012

Academic Editor: Sheng-yong Chen

Copyright © 2013 Fei Kang 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.

Citations to this Article [5 citations]

The following is the list of published articles that have cited the current article.

  • Jun Hu, Shan Hu, Fei Kang, and Jianhua Zhang, “Real-Time Dry Beach Length Monitoring for Tailings Dams Based on Visual Measurement,” Mathematical Problems in Engineering, vol. 2013, pp. 1–7, 2013. View at Publisher · View at Google Scholar
  • Bharadwaj Nanda, Damodar Maity, and Dipak Kumar Maiti, “Damage assessment from curvature mode shape using unified particle swarm optimization,” Structural Engineering and Mechanics, vol. 52, no. 2, pp. 307–322, 2014. View at Publisher · View at Google Scholar
  • Songtao Chang, Yongji Wang, Lei Liu, and Xing Wei, “Attainability Analysis for Entry Vehicles Based on Differential Evolution,” Mathematical Problems in Engineering, vol. 2014, pp. 1–8, 2014. View at Publisher · View at Google Scholar
  • Bharadwaj Nanda, Anand, Dipak K. Maiti, Bharadwaj Nanda, R. Anand, and Dipak K. Maiti, “Frequency based inverse damage assessment technique using novel hybrid neuro-particle swarm optimization,” Smart Innovation, Systems and Technologies, vol. 33, pp. 617–626, 2015. View at Publisher · View at Google Scholar
  • Ahmed Alalikhan, Ljiljana Miškovic, Saad Al-Wazni, Zoran Miškovic, and Ratko Salatic, “Testing heuristic optimisation methods for vibration-based detection of Damage,” Gradjevinar, vol. 68, no. 7, pp. 543–547, 2016. View at Publisher · View at Google Scholar