Journal of Civil Structural Health Monitoring

, Volume 9, Issue 1, pp 137–151 | Cite as

Sensitivity-based damage detection algorithm for structures using vibration data

  • C. G. KrishnanunniEmail author
  • R. Sethu Raj
  • Deepak Nandan
  • C. K. Midhun
  • A. S. Sajith
  • Mohammed Ameen
Original Paper


Damage in a structure can lead to changes in the structural properties such as stiffness and natural frequencies. The ratio of frequency changes in two modes is a function of the damage location. In this paper, vibration data and static displacement measurements are used to detect and quantify structural damages. A sensitivity analysis is performed to study how natural frequencies and static displacements change in the presence of a structural damage. An objective function representing an error is defined using the sensitivity equation and minimized using Cuckoo Search algorithm. The effectiveness of the technique is demonstrated with the help of cantilever beams and fixed–fixed beam in which different damage scenarios are simulated using ANSYS and analyzed to obtain the modal parameters. In addition, a laboratory tested space frame model has been used to demonstrate the proposed technique. Numerical results indicate that damages can be accurately detected and quantified in a relatively shorter computational time using the Cuckoo Search algorithm.


Damage Sensitivity equation Vibration Objective function Algorithm 



The authors would like to thank Enupala Indu for providing technical assistance for the work conducted at National institute of Technology, Calicut. The authors would also like to thank Minu Ann Peter for the technical assistance on the use of uni-axial shake table for data acquisition.

Compliance with ethical standards

Conflict of interest

The authors declare no conflict of interest in preparing this article.


This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Structural Engineering Division, Department of Civil EngineeringNational Institute of TechnologyCalicutIndia

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