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Three-Dimensional Digital Image Correlation Based on Speckle Pattern Projection for Non-Invasive Vibrational

Alvaro Souto Janeiro1, Antonio Fernández López1, Marcos Chimeno Manguan1

  • 1Department of Aeronautics, Universidad Politécnica de Madrid, 28040 Madrid, Spain.

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Summary

This study introduces a new non-contact method for analyzing high-frequency vibrations in structures using 3D digital image correlation. The technique accurately measures vibrations in composite materials, like UAV wings, with less than 5% error.

Keywords:
composite materialsfull-field 3-D deformationspeckle projectionthree-dimensional digital image correlation

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Area of Science:

  • Mechanical Engineering
  • Materials Science
  • Non-destructive Testing

Background:

  • Non-contact vibration measurement is crucial for assessing structural integrity non-invasively.
  • High-frequency vibrational analysis requires precise and detailed deformation data.
  • Existing methods may have limitations in accuracy or scope for complex structures.

Purpose of the Study:

  • To present a novel methodology for full-field vibrational analysis at high frequencies.
  • To enable accurate, non-contact measurement of dynamic modes in composite materials.
  • To validate the proposed technique against established measurement methods.

Main Methods:

  • Utilizing three-dimensional digital image correlation (3D-DIC) with a projected speckle pattern.
  • Implementing stereo calibration and advanced image processing for precise 3D data acquisition.
  • Extracting deformation parameters including out-of-plane displacement and mode shapes.

Main Results:

  • The 3D-DIC method successfully identified dynamic modes in an Unmanned Aerial Vehicle (UAV) wing.
  • Quantitative analysis yielded accurate deformation parameters and mode shapes.
  • Experimental validation showed a measurement error below 5% compared to accelerometers.

Conclusions:

  • The projected 3D-DIC technique offers a highly sensitive and accurate approach for high-frequency vibration analysis.
  • This method is effective for characterizing the dynamic behavior of composite structures.
  • The findings demonstrate the potential for non-invasive structural health monitoring.