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Lamb Wave-Based Damage Localization and Quantification in Composites Using Probabilistic Imaging Algorithm and

Jiahui Guo1, Xianping Zeng1, Qijian Liu1

  • 1School of Aerospace Engineering, Xiamen University, Xiamen 361005, China.

Sensors (Basel, Switzerland)
|July 9, 2022
PubMed
Summary
This summary is machine-generated.

This study presents an active sensing method for precise damage detection in composite plates. The technique accurately locates and quantifies structural damage, crucial for assessing remaining life and maintenance needs.

Keywords:
Lamb wavedamage quantificationmatching pursuit decomposition algorithmprobabilistic imaging algorithm

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Area of Science:

  • Materials Science and Engineering
  • Structural Health Monitoring
  • Non-Destructive Testing

Background:

  • Accurate damage assessment in composite structures is vital for safety and longevity.
  • Existing methods may struggle with composite anisotropy, affecting detection accuracy.

Purpose of the Study:

  • To develop and validate an active sensing method for precise damage localization and quantification in composite plates.
  • To mitigate the effects of composite anisotropy on damage detection accuracy.

Main Methods:

  • Utilized a probabilistic imaging algorithm and statistical methods to account for composite anisotropy.
  • Employed the Matching Pursuit Decomposition (MPD) algorithm to extract precise Time-of-Flight (TOF) data.
  • Damage localization based on comprehensive evaluation of sensing path probabilities.
  • Damage size estimation using scattering source recognition on elliptical trajectories and Gaussian kernel probability density distribution.

Main Results:

  • The proposed algorithm accurately located and quantified simulated through-thickness hole damages in composite plates.
  • Localization and quantification absolute errors were within 11 mm and 2.2 mm, respectively, with 100 mm sensor spacing.
  • Demonstrated effectiveness in reducing the impact of composite anisotropy on damage detection.

Conclusions:

  • The developed active sensing method provides accurate damage localization and quantification for composite plate-like structures.
  • This approach enhances the reliability of structural health monitoring for composites.
  • The findings support improved remaining life estimation and maintenance scheduling for critical structures.