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Related Experiment Video

Updated: Oct 6, 2025

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Accelerated noncontact guided wave array imaging via sparse array data reconstruction.

Homin Song1, Yongchao Yang2

  • 1Department of Civil and Environmental Engineering, Gachon University, 1342 Seongnamdaero, Sujeong-gu, Seongnam-si, Gyeonggi-do 13120, South Korea; Formerly Department of Mechanical Engineering - Engineering Mechanics, Michigan Technological University, Houghton, MI 49931, USA.

Ultrasonics
|January 20, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces accelerated noncontact guided wave imaging using sparse scanning. The method reconstructs dense data from sparse measurements, enabling faster defect detection in plate-like structures.

Keywords:
Compressed SensingGuided WavesNoncontact Array ImagingScanning Laser Doppler VibrometerUltrasonic Beamforming

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Area of Science:

  • Non-destructive testing
  • Ultrasonic testing
  • Materials science

Background:

  • Noncontact guided wave array imaging using scanning laser Doppler vibrometer (SLDV) is effective for defect detection in plate-like structures.
  • Traditional methods require dense scanning, which is time-consuming and necessitates careful calibration.
  • Avoiding dense scanning is crucial for improving the efficiency of guided wave imaging.

Purpose of the Study:

  • To develop an accelerated noncontact guided wave array imaging method.
  • To achieve defect imaging performance comparable to dense scanning without dense spatial sampling.
  • To reduce the time and effort required for defect localization in composite plates.

Main Methods:

  • Sparse scanning measurements were performed for rapid data acquisition.
  • Dense guided wave array data was reconstructed from sparse measurements using sparsity-promoting optimization.
  • Delay-and-sum (DAS) beamforming was applied for defect imaging.

Main Results:

  • The proposed method successfully detected and located defects in composite plate specimens.
  • Defect imaging performance was comparable to traditional dense scanning methods.
  • A significant reduction in measurement points was achieved, enabling accelerated imaging.

Conclusions:

  • Accelerated noncontact guided wave array imaging is feasible using sparse sampling and data reconstruction.
  • The method offers a faster and more efficient alternative to traditional dense scanning techniques.
  • This approach enhances the practical application of guided wave imaging for structural health monitoring.