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Shock and Vibration
Volume 2016 (2016), Article ID 2562949, 13 pages
http://dx.doi.org/10.1155/2016/2562949
Research Article

Damage Detection and Localization from Dense Network of Strain Sensors

1Department of Civil, Construction, and Environmental Engineering, Iowa State University, Ames, IA 50011, USA
2Department of Electrical and Computer Engineering, Iowa State University, Ames, IA 50011, USA
3Institute of Structural Engineering, Department of Civil, Environmental & Geomatic Engineering, ETH Zürich, 8093 Zürich, Switzerland
4Department of Civil and Environmental Engineering, University of Perugia, 06125 Perugia, Italy

Received 2 July 2015; Accepted 27 September 2015

Academic Editor: Sakdirat Kaewunruen

Copyright © 2016 Simon Laflamme 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 [9 citations]

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

  • Enrique Sevillano, Rui Sun, and Ricardo Perera, “Damage Detection Based on Power Dissipation Measured with PZT Sensors through the Combination of Electro-Mechanical Impedances and Guided Waves,” Sensors, vol. 16, no. 5, pp. 639, 2016. View at Publisher · View at Google Scholar
  • V Chinde, L Cao, U Vaidya, and S Laflamme, “Damage detection on mesosurfaces using distributed sensor network and spectral diffusion maps,” Measurement Science and Technology, vol. 27, no. 4, pp. 045110, 2016. View at Publisher · View at Google Scholar
  • Austin Downey, Simon Laflamme, and Filippo Ubertini, “Reconstruction of in-plane strain maps using hybrid dense sensor network composed of sensing skin,” Measurement Science and Technology, vol. 27, no. 12, pp. 124016, 2016. View at Publisher · View at Google Scholar
  • Austin Downey, Filippo Ubertini, and Simon Laflamme, “Algorithm for damage detection in wind turbine blades using a hybrid dense sensor network with feature level data fusion,” Journal of Wind Engineering and Industrial Aerodynamics, vol. 168, pp. 288–296, 2017. View at Publisher · View at Google Scholar
  • Austin Downey, Simon Laflamme, and Filippo Ubertini, “Experimental wind tunnel study of a smart sensing skin for condition evaluation of a wind turbine blade,” Smart Materials and Structures, vol. 26, no. 12, pp. 125005, 2017. View at Publisher · View at Google Scholar
  • Eleni N Chatzi, Vasilis K Dertimanis, Minas D Spiridonakos, and Yaowen Ou, “Vibration-based experimental damage detection of a small-scale wind turbine blade,” Structural Health Monitoring, vol. 16, no. 1, pp. 79–96, 2017. View at Publisher · View at Google Scholar
  • Pierluigi Fanelli, Chiara Biscarini, Elio Jannelli, Filippo Ubertini, and Stefano Ubertini, “Structural health monitoring of cylindrical bodies under impulsive hydrodynamic loading by distributed FBG strain measurements,” Measurement Science and Technology, vol. 28, no. 2, pp. 024006, 2017. View at Publisher · View at Google Scholar
  • Antonella D’Alessandro, Filippo Ubertini, Enrique García-Macías, Rafael Castro-Triguero, Austin Downey, Simon Laflamme, Andrea Meoni, and Annibale Luigi Materazzi, “Static and Dynamic Strain Monitoring of Reinforced Concrete Components through Embedded Carbon Nanotube Cement-Based Sensors,” Shock and Vibration, vol. 2017, pp. 1–11, 2017. View at Publisher · View at Google Scholar
  • P. Fanelli, A.L. Facci, and E. Jannelli, “Live crack damage detection with local strain measurement on solid bodies subjected to hydrodynamic loading,” Procedia Structural Integrity, vol. 8, pp. 539–551, 2018. View at Publisher · View at Google Scholar