EVALUATION OF HOPKINSON BAR EXPERIMENTS USING MULTIPLE DIGITAL IMAGE CORRELATION SOFTWARE TOOLS

Authors

  • Marcel Adorna Czech Technical University in Prague, Faculty of Transportation Sciences, Department of Mechanics and Materials, Konviktská 20, 120 00 Prague, Czech Republic
  • Stefan Brodner Universität des Saarlandes, Institute of Applied Mechanics, Campus A4.2, 66123 Saarbrücken, Germany
  • Jan Falta Czech Technical University in Prague, Faculty of Transportation Sciences, Department of Mechanics and Materials, Konviktská 20, 120 00 Prague, Czech Republic
  • Petr Zlámal Czech Technical University in Prague, Faculty of Transportation Sciences, Department of Mechanics and Materials, Konviktská 20, 120 00 Prague, Czech Republic
  • Tomáš Fíla Czech Technical University in Prague, Faculty of Transportation Sciences, Department of Mechanics and Materials, Konviktská 20, 120 00 Prague, Czech Republic

DOI:

https://doi.org/10.14311/APP.2019.25.0001

Keywords:

Digital Image Correlation, Hopkinson Bar, impact loading, high-speed imaging

Abstract

Three different tools for Digital Image Correlation (DIC) were used for evaluation of dynamic experiments performed using custom Open Hopkinson Pressure Bar (OHPB) apparatus. High strain-rate measurements were performed on specimens of advanced cellular materials with predefined structure and negative Poisson’s ratio. Low impedance polymethyl methacrylate (PMMA) bars instrumented with foil strain-gauges were used for dynamic loading of the specimens. Experiments were observed using a pair of high-speed cameras for imaging of loading process in sufficient quality. Custom developed evaluation DIC tool implemented in Matlab, open-source Matlab tool (NCorr) and commercial DIC software (ISTRA 4D) were all used for evaluation of image sequences recorded by high-speed cameras. Comparison of results obtained using all three different DIC tools and results of complementary strain-gauge measurement are shown in this paper. Verification of reliability of custom made DIC software tool is presented.

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Published

2019-12-06

How to Cite

Adorna, M., Brodner, S., Falta, J., Zlámal, P., & Fíla, T. (2019). EVALUATION OF HOPKINSON BAR EXPERIMENTS USING MULTIPLE DIGITAL IMAGE CORRELATION SOFTWARE TOOLS. Acta Polytechnica CTU Proceedings, 25, 1–5. https://doi.org/10.14311/APP.2019.25.0001