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Estimation of Cavities beneath Plate Structures Using a Microphone: Laboratory Model Tests.

Seonghun Kang1, Jung-Doung Yu1, Won-Taek Hong2

  • 1School of Civil, Environmental and Architectural Engineering, Korea University, Seoul 02841, Korea.

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|April 30, 2021
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Summary
This summary is machine-generated.

This study shows that sound waves can detect and size cavities in sand using microphones. Different analysis methods offer varying accuracy based on plate thickness, but all generally estimate slightly larger cavity sizes.

Keywords:
MARSE energycavityflexibilitymicrophonesound waveswavelet transform

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Area of Science:

  • Acoustics
  • Non-destructive Testing
  • Geophysics

Background:

  • Cavities within materials like sand can affect structural integrity and require effective detection methods.
  • Traditional methods may be invasive or limited in scope.
  • Acoustic-based techniques offer a promising non-destructive approach.

Purpose of the Study:

  • To investigate the use of sound waves for detecting and estimating the size of a cavity in a laboratory sand-filled chamber.
  • To evaluate the effectiveness of different signal analysis techniques for cavity characterization.

Main Methods:

  • Sound waves were generated by impacting an acrylic plate covering a sand-filled chamber with an instrumented hammer.
  • A microphone recorded the resulting sound waves.
  • Analysis involved measured area under the rectified signal envelope (MARSE) energy, flexibility, peak magnitude of wavelet transform, and frequency corresponding to peak magnitude.

Main Results:

  • Cavity detection accuracy varied with plate thickness: MARSE energy was better for thicker plates, while flexibility excelled with thinner plates.
  • Wavelet transform magnitude and frequency provided consistently high detection accuracy across plate thicknesses.
  • Cavity size estimation accuracy was influenced by plate thickness and analysis method, with an average overestimation across all methods.

Conclusions:

  • Microphones and sound wave analysis are effective for identifying cavities and estimating their size in sand.
  • The choice of analysis method and plate thickness significantly impacts detection accuracy and size estimation.
  • Further research may refine these acoustic methods for practical applications in material characterization.