Highly Sensitive Robust Damage Detection of Periodic Structures with Piezoelectric Networking

Abstract

The goal of this research is to advance the state-of-the-art of vibration-based damage detection of bladed disks by utilizing the unique vibration localization characteristics of such periodic structures to enhance damage detection sensitivity and robustness through piezoelectric circuitry networking. In this study, we have successfully developed an innovative methodology to enhance sensitivity and robustness of vibration-based damage detection for periodic structures. A new piezoelectric network concept to temporarily increase the vibration localization in periodic structures has been established. Analytical and experimental studies have been carried out to obtained insight towards the underlying principles of the proposed approach. Fundamental understandings and design guidelines of circuitry elements that can optimize the system performance have been developed. Finally, multivariate statistical analysis tools are synthesized to evaluate and demonstrate the improvement in sensitivity and robustness of damage detection owing to the localization enhancement of the piezoelectric networking.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2010
Accession Number
ADA532869

Entities

People

  • Jiong Tang
  • Kon-Well Wang

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Damage Detection
  • Data Science
  • Detection
  • Dynamic Response
  • Engineering
  • Frequency Shift
  • Information Science
  • Mechanical Engineering
  • Mechanical Structure
  • Mechanical Waves
  • Resonant Frequency
  • Statistical Analysis
  • Statistics
  • Turbines
  • Vibration
  • Waves

Readers

  • Auditory Neuroscience/Auditory Physiology.
  • Integrated Circuit Design and Technology.
  • Neural Network Machine Learning.