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Shock and Vibration
Volume 20, Issue 1, Pages 181-188

Ambient Vibration Based Damage Diagnosis Using Statistical Modal Filtering and Genetic Algorithm: A Bridge Case Study

S. El-Ouafi Bahlous,1 M. Neifar,1 S. El-Borgi,1,2 and H. Smaoui3,4

1Applied Mechanics and Systems Research Laboratory, Tunisia Polytechnic School, University of Carthage, La Marsa, Tunisia
2Mechanical Engineering Program, Texas A&M University, Doha, Qatar
3Laboratory of Materials, Energy and Optimization for Sustainability, ENIT, University of El Manar, Tunis, Tunisia
4Department of Civil Engineering, Salman Ben Abdellaziz University, Al-Kharj, Saudi Arabia

Received 2 November 2011; Revised 14 February 2012

Copyright © 2013 Hindawi Publishing Corporation. 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.

  • Jeng-Wen Lin, Pu Fun Shen, and Hao-Ping Wen, “Repetitive control mechanism of disturbance cancellation using a hybrid regression and genetic algorithm,” Mechanical Systems and Signal Processing, vol. 62-63, pp. 356–365, 2015. View at Publisher · View at Google Scholar
  • Xiaochen Zhang, Hongli Gao, and Haifeng Huang, “Screw Performance Degradation Assessment Based on Quantum Genetic Algorithm and Dynamic Fuzzy Neural Network,” Shock and Vibration, vol. 2015, pp. 1–11, 2015. View at Publisher · View at Google Scholar
  • Damir Zenunovic, Mirsad Topalovic, and Radomir Folic, “Identification of Modal Parameters of Bridges Using Ambient Vibration Measurements,” Shock and Vibration, vol. 2015, pp. 1–21, 2015. View at Publisher · View at Google Scholar
  • Ahmet Can Altunişik, “Experimental identification of box girder bridge model under undamaged and damaged conditions considering time effect,” Computers and Concrete, vol. 18, no. 4, pp. 827–852, 2016. View at Publisher · View at Google Scholar
  • Hong Zhao, and Hao-Ran Hu, “Optimal design of a pipe isolation plugging tool using a computational fluid dynamics simulation with response surface methodology and a modified genetic algorithm,” Advances in Mechanical Engineering, vol. 9, no. 10, pp. 168781401771556, 2017. View at Publisher · View at Google Scholar