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Guided wave arrays for high resolution inspection.

Alexander Velichko1, Paul D Wilcox

  • 1Department of Mechanical Engineering, University of Bristol, Bristol, BS8 1TR, United Kingdom. a.velichko@bristol.ac.uk

The Journal of the Acoustical Society of America
|January 8, 2008
PubMed
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This study presents a frequency-domain signal processing method for guided wave transducer arrays. The technique optimizes array element usage for better resolution, though it may increase noise sensitivity.

Area of Science:

  • Structural Health Monitoring
  • Non-Destructive Testing
  • Wave Propagation

Background:

  • Guided wave transducer arrays are crucial for inspecting plate-like structures.
  • Raw data involves complex time-domain signals from transmitter-receiver pairs.
  • Existing methods may lack flexibility in array geometry and element types.

Purpose of the Study:

  • To develop a general, frequency-domain signal processing approach for guided wave transducer arrays.
  • To investigate optimal coefficient determination for maximizing resolution with minimal elements.
  • To quantify the trade-off between resolution enhancement and noise sensitivity.

Main Methods:

  • Linear superposition of frequency-domain signals with amplitude and phase factors.
  • Optimization algorithms to find coefficients for best resolution and element count.

Related Experiment Videos

  • Sensitivity analysis to quantify noise impact.
  • Application to linear and circular array geometries.

    • Main Results:

    • Demonstrated a versatile signal processing technique applicable to various array configurations.
    • Showcased resolution improvements achieved by optimizing coefficients.
    • Quantified the inverse relationship between resolution and noise sensitivity.
    • Validated the method using experimental data from an aluminum plate with electromagnetic acoustic transducers (EMATs).

    Conclusions:

    • The developed frequency-domain method offers a flexible and effective approach for guided wave data processing.
    • Optimal coefficient selection is key for balancing resolution and noise tolerance.
    • The technique is adaptable for multimode guided wave propagation.