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Updated: Aug 13, 2025

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Force Identification Based on Response Signals Captured with High-Speed Three-Dimensional Digital Image Correlation.

Krzysztof Mendrok1, Ángel J Molina-Viedma2, Elias López-Alba2

  • 1Department of Robotics and Mechatronics, AGH University of Science and Technology, Al. A. Mickiewicza 30, 30-059 Krakow, Poland.

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|January 21, 2023
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Summary

This study demonstrates that high-speed 3D Digital Image Correlation (HS 3D-DIC) can accurately identify structural loads. This advancement improves structural health monitoring (SHM) by enhancing load monitoring capabilities.

Keywords:
digital image correlation (DIC)dynamic testingforce identificationmodal filterstructural dynamics

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Area of Science:

  • Engineering
  • Materials Science
  • Mechanical Engineering

Background:

  • Structural Health Monitoring (SHM) systems are crucial for assessing structural integrity.
  • Accurate load identification is a key component of SHM, enabling reliable prognosis of remaining useful life.
  • Existing methods for load identification have limitations that this study aims to address.

Purpose of the Study:

  • To extend the state-of-the-art in load identification within SHM.
  • To demonstrate the feasibility of load identification using high-speed three-dimensional Digital Image Correlation (HS 3D-DIC).
  • To experimentally validate the proposed HS 3D-DIC based procedure on a frame structure.

Main Methods:

  • Utilized high-speed three-dimensional Digital Image Correlation (HS 3D-DIC) to capture full-field vibration displacement signals.
  • Employed two high-speed cameras for data acquisition.
  • Applied two distinct algorithms for load identification: Frequency Response Function (FRF) matrix inversion and modal filtration (MF).

Main Results:

  • Successfully demonstrated the feasibility of identifying loads through the analysis of response signals captured with HS 3D-DIC.
  • Experimental validation on a frame structure under broadband vibration excitation confirmed the efficacy of the proposed procedure.
  • Both FRF matrix inversion and modal filtration algorithms were discussed and their experimental performance evaluated.

Conclusions:

  • HS 3D-DIC is a viable and effective technique for load identification in structural health monitoring.
  • The proposed method enhances the capabilities of SHM systems, particularly in the critical task of load monitoring.
  • This research contributes to more credible estimations of a structure's remaining useful life by improving load prognosis.