Sensitivity-based damage detection algorithm for structures using vibration data
- 223 Downloads
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.
KeywordsDamage 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.
- 1.Zou Y, Tong GP, Steven (2000) Vibration-based model-dependent damage (delamination) identification and health monitoring for composite structures: a review. J Sound Vibr 230(2):357–378Google Scholar
- 6.Hou Z, Noori M, Amand RST (2000) Wavelet based approach for structural damage detection. J Eng Mech 126(7):677–683Google Scholar
- 13.Courant R, Hilbert D (1953) Methods of mathematical phvsics. InterscienceGoogle Scholar
- 14.Yang X-S, Deb S (2009) Cuckoo search via Levy flights. In: Proceedings of world congress on nature and biologically inspired computing, IEEE Publications, pp 210–214. https://doi.org/10.1109/NABIC.2009.5393690
- 18.Yang JCS, Tsai T, Pavlin V, Chen J, Tsai WH (1985) Structural damage detection by the system identification technique. Shock Vibr Bull 55(1):57–66Google Scholar
- 19.Hansen PC (1999) The L-curve and it’s use in the numerical treatment of inverse problems. Department of Mathematical Modelling, IMM Technical University of Denmark, DenmarkGoogle Scholar
- 20.Krishnamoorthy CS (1995) Finite element analysis. Tata McGraw-Hill Education, New YorkGoogle Scholar