Signal Processing and Imaging with Ultrasonic Guided Waves: Goals, Challenges and Recent Progress (Preprint)

Abstract

Ultrasonic guided waves have the potential for both rapid inspection and in situ monitoring of plate-like structures, and effective signal processing and imaging algorithms are essential to achieve necessary performance. Although guided waves can propagate long distances and still remain sensitive to damage, their dispersive nature and sensitivity to varying environmental and operational conditions offer significant challenges. This paper addresses two guided wave applications that have recently been the subject of significant research. The first is acquisition and analysis of full or partial guided wavefield data such as can be obtained by either a scanning laser vibrometer or a scanned air-coupled transducer. This application is motivated by the need for a rapid alternative to traditional bulk wave inspections that does not require extensive teardown or liquid couplants. The second is in situ monitoring using a spatially distributed array of simple piezoelectric transducers. This application is motivated by the need for long term monitoring of critical structures to both lower maintenance costs and prevent catastrophic failures.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2012
Accession Number
ADA564644

Entities

People

  • Jennifer E. Michaels
  • Thomas E. Michaels

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Boundaries
  • Cross Correlation
  • Damage Detection
  • Detection
  • Experimental Data
  • Frequency
  • Frequency Domain
  • Lead Zirconate Titanates
  • Monitoring
  • Piezoelectric Transducers
  • Signal Processing
  • Structural Health Monitoring
  • Time Domain
  • Transducers

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Structural Health Monitoring of Composite Structures.

Technology Areas

  • Directed Energy