Damage Assessment Using Hyperchaotic Excitation and Nonlinear Prediction Error

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.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2011
Accession Number
ADA588541

Entities

People

  • Eric A. Butcher
  • Gyuhae Park
  • Michael D Todd
  • Shahab Torkamani

Organizations

  • Los Alamos National Laboratory

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Bandwidth
  • California
  • Condition Based Maintenance
  • Damage
  • Damage Assessment
  • Damage Detection
  • Dynamics
  • Engineering
  • Geometry
  • Interrogation
  • New Mexico
  • Predictive Modeling
  • Sensitivity
  • Structural Engineering
  • Structural Health Monitoring
  • Universities

Readers

  • Computational Modeling and Simulation
  • Wave Propagation and Nonlinear Chaotic Dynamics.

Technology Areas

  • Space