Real-Time Damage Identification in Nonlinear Smart Structures Using Hyperchaotic Excitation and Stochastic Estimation

Shahab Torkamani, Eric Butcher, Michael D. Todd

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Among numerous damage identification techniques, those which are used for online data-driven damage identification have received considerable attention recently. One of the most widely-used vibration-based time-domain techniques for nonlinear system identification is the extended Kalman filter, which exhibits a good performance when the parameter to be identified is a constant parameter. However, it is not as successful in identification of changes in time-varying system parameters, which is essential for real-time identification. Alternatively, the extended Kalman-Bucy filter has been recently proposed due to its enhanced capabilities in parameter estimation compared with extended Kalman filter. On the other hand, when applied as the excitation in some attractor-based damage identification techniques, chaotic and hyperchaotic dynamics produce better outcomes than does common stochastic white noise. The current study combines hyperchaotic excitations and the enhanced capabilities of extended Kalman-Bucy filter to propose a real-time approach for identification of damage in nonlinear structures. Simulation results show that the proposed approach is capable of online identification and assessment of damage in nonlinear elastic and hysteretic structures with single or multiple degrees-of-freedom using noise-corrupted measured acceleration response.

Original languageEnglish (US)
Title of host publicationConference Proceedings of the Society for Experimental Mechanics Series
Pages295-305
Number of pages11
Volume45
Edition7
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event31st International Modal Analysis Conference on Structural Dynamics, IMAC 2013 - Garden Grove, CA, United States
Duration: Feb 11 2013Feb 14 2013

Other

Other31st International Modal Analysis Conference on Structural Dynamics, IMAC 2013
CountryUnited States
CityGarden Grove, CA
Period2/11/132/14/13

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Keywords

  • Hyperchaos
  • Kalman-Bucy filter
  • Real-time damage identification
  • Smart structures
  • Stochastic estimation

ASJC Scopus subject areas

  • Engineering(all)
  • Computational Mechanics
  • Mechanical Engineering

Cite this

Torkamani, S., Butcher, E., & Todd, M. D. (2014). Real-Time Damage Identification in Nonlinear Smart Structures Using Hyperchaotic Excitation and Stochastic Estimation. In Conference Proceedings of the Society for Experimental Mechanics Series (7 ed., Vol. 45, pp. 295-305) https://doi.org/10.1007/978-1-4614-6585-0_27