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On-Line Multi-Damage Scanning Spatial-Wavenumber Filter Based Imaging Method for Aircraft Composite Structure.

Yuanqiang Ren1, Lei Qiu2, Shenfang Yuan3

  • 1Research Center of Structural Health Monitoring and Prognosis, State Key Lab of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China. renyuanqiang@nuaa.edu.cn.

Materials (Basel, Switzerland)
|August 5, 2017
PubMed
Summary

A new scanning spatial-wavenumber filter (SSWF) method enables on-line monitoring of multiple damages in aircraft composite structures. This advanced technique accurately locates structural flaws using imaging, enhancing reliability and reducing maintenance needs.

Keywords:
aircraft composite structuredamage imagingguided wavespatial-wavenumber filterstructural health monitoring

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Area of Science:

  • Materials Science
  • Mechanical Engineering
  • Aerospace Engineering

Background:

  • Structural health monitoring (SHM) is crucial for aircraft composite reliability and cost reduction.
  • Spatial-wavenumber filter techniques show promise for SHM by distinguishing guided wave modes and propagation directions.

Purpose of the Study:

  • To propose a novel scanning spatial-wavenumber filter (SSWF) based imaging method for on-line monitoring of multiple damages in aircraft composite structures.
  • To develop an effective approach for identifying and locating multiple structural defects in real-time.

Main Methods:

  • Established an on-line multi-damage SSWF using a linear piezoelectric (PZT) sensor array and a wavenumber-time imaging mechanism.
  • Combined the SSWF with a PZT 2D cross-shaped array for an image-mapping method, converting wavenumber-time images to an angle-distance image for damage localization.
  • Validated the method through simulations and experiments on composite plates with introduced multi-damage.

Main Results:

  • The proposed method successfully located multiple damages with a maximum localization error of less than 2 cm.
  • Experimental validation demonstrated good performance for both simulated and real multi-damage scenarios.
  • The technique effectively converts wavenumber-time data into an angle-distance image for direct damage recognition.

Conclusions:

  • The SSWF-based imaging method offers an effective solution for on-line multi-damage monitoring of aircraft composite structures.
  • This approach requires only multi-damage scattering signals and does not depend on wavenumber modeling or measurement.
  • The imaging-based localization improves signal-to-noise ratio and simplifies application compared to geometric methods.