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Blind zone defect imaging using multipath edge-reflected Lamb waves.

Nan Zhang1, Caibin Xu1, Liang Zeng2

  • 1College of Aerospace Engineering, Chongqing University, Chongqing 400044, China.

Ultrasonics
|September 24, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a novel Lamb wave imaging technique using multipath edge reflections to detect crack-like defects in previously invisible blind zones. The method accurately images through-thickness cracks, overcoming limitations of conventional algorithms.

Keywords:
Blind zoneDamage localizationLamb wave imagingMultipath reflectionStructural health monitoring

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Area of Science:

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

Background:

  • Conventional delay-and-sum algorithms struggle to detect defects in blind zones.
  • Lamb waves offer potential for detecting damage in structures.
  • Edge reflections are often disregarded or difficult to interpret in traditional methods.

Purpose of the Study:

  • To develop an advanced Lamb wave-based defect imaging method.
  • To enable detection of crack-like defects in blind zones.
  • To improve the accuracy and reliability of non-destructive testing.

Main Methods:

  • Utilizing multipath edge reflections of Lamb waves.
  • Introducing virtual transmitters and receivers via mirror points.
  • Establishing a damage index based on traced wave packet paths.
  • Employing a multiplication strategy to fuse multi-order wave packet images and reduce artifacts.

Main Results:

  • Successfully detected through-thickness cracks in blind zones.
  • Demonstrated effectiveness and feasibility through numerical and experimental validation.
  • Achieved a minimum relative error of 1.12% in crack localization.

Conclusions:

  • The proposed Lamb wave imaging method effectively detects defects in blind zones.
  • Multipath edge reflections significantly enhance defect detection capabilities.
  • The technique offers a promising advancement for structural health monitoring.