Damage assessment using hyperchaotic excitation and nonlinear prediction error

S. Torkamani, E. A. Butcher, M. D. Todd, G. Park

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

Abstract

The idea of damage assessment based on using a steady-state chaotic excitation and state space embedding, proposed during the recent few years, has led to the development of a computationally feasible SHM technique based on comparisons between the geometry of a baseline attractor and a test attractor at some unknown state of health. This study explores an extension to this concept, namely a hyperchaotic excitation. The feature that is used to analyze the responses of the structures to the chaotic/hyperchaotic excitations is called 'Nonlinear Auto-Prediction Error' (NAPE), which is based on attractor geometry. A comparison between the results from the chaotic excitation with the results from each of the hyperchaotic excitations, obtained both numerically and experimentally, highlights the higher sensitivity of hyperchaotic excitations relative to a chaotic excitation.

Original languageEnglish (US)
Title of host publicationStructural Health Monitoring 2011
Subtitle of host publicationCondition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring
Pages923-930
Number of pages8
StatePublished - Dec 1 2011
Externally publishedYes
Event8th International Workshop on Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Stanford, CA, United States
Duration: Sep 13 2011Sep 15 2011

Publication series

NameStructural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring
Volume1

Other

Other8th International Workshop on Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures
CountryUnited States
CityStanford, CA
Period9/13/119/15/11

ASJC Scopus subject areas

  • Civil and Structural Engineering

Fingerprint Dive into the research topics of 'Damage assessment using hyperchaotic excitation and nonlinear prediction error'. Together they form a unique fingerprint.

  • Cite this

    Torkamani, S., Butcher, E. A., Todd, M. D., & Park, G. (2011). Damage assessment using hyperchaotic excitation and nonlinear prediction error. In Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring (pp. 923-930). (Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring; Vol. 1).