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Impact localization on a metal plate using matched field processing and a microphone arraya).

Allison M King1, David R Dowling1,2

  • 1Department of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA.

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|February 7, 2025
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Summary
This summary is machine-generated.

This study successfully localized impact sources on a metal plate using Bartlett matched field processing (MFP). The technique achieved high accuracy, even in noisy conditions, offering a non-contact solution for structural health monitoring.

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Area of Science:

  • Acoustics
  • Structural Health Monitoring
  • Signal Processing

Background:

  • Acoustic waves are valuable for remote sensing and structural health monitoring due to their non-contact measurement capabilities.
  • Traditional source localization methods struggle with complex geometries, wave dispersion in structures, and sensor contact issues.
  • Impact source localization is a critical task in structural health monitoring.

Purpose of the Study:

  • To adapt and apply Bartlett matched field processing (MFP) for localizing impact excitations on a metal plate.
  • To evaluate the performance of MFP in a complex structural acoustics environment.
  • To assess the robustness of MFP under noisy conditions.

Main Methods:

  • Utilized a 14-microphone array to record acoustic waves radiated from an impacted aluminum plate.
  • Employed Bartlett matched field processing (MFP), a technique from underwater acoustics.
  • Integrated MFP with a physics-based finite-element acoustic environment model for localization.
  • Investigated localization performance with varying signal-to-noise ratios.

Main Results:

  • Impact sources were localized on a round aluminum plate with typical accuracy within 1.1 cm of the true location.
  • The Bartlett matched field processing (MFP) method demonstrated successful localization down to a signal-to-noise ratio of -7.5 dB.
  • Ambiguity surfaces were generated to visualize predicted source locations.

Conclusions:

  • Bartlett matched field processing (MFP) is a viable and accurate technique for non-contact impact source localization in structural health monitoring.
  • MFP offers advantages over traditional methods by accommodating complex structural acoustics and avoiding physical sensor contact.
  • The developed method shows promise for real-world applications, including noisy environments.