Browsing by Author "Beckmann, Birgit"

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  • ItemOpen Access
    Dynamic Spallation Energy Dissipation: Evaluation Methods for Split Hopkinson Bar Tests _ Dataset.rar
    (Technische Universität Dresden, 2026-03-11) Davoudkhani, Milad; Maca, Petr; Krcmarova, Nela; Beckmann, Birgit; Maas, Hans-Gerd
    This dataset comprises the data of the study on Dynamic Spallation Energy Dissipation: Evaluation Methods for Split Hopkinson Bar Tests. In this study, we employ a single high-speed camera setup with photogrammetric methods. The approach is based on enhanced inverse spatial resection principles for 3D tracking from single camera image sequence data and on Structure-from-Motion techniques for 3D shape reconstruction of multiple fragments produced in split Hopkinson bar impact experiments. These fragment shape and motion data allow to estimate the energy of each fragment, providing a key component in the analysis of energy dissipation.
  • ItemOpen Access
    Longitudinal Concrete Analysis Data
    (Technische Universität Dresden, 2024-10-28) Duran Vergara, Laura Camila; Leicht, Lena; Beckmann, Birgit; Maas, Hans-Gerd
    The "Longitudinal Concrete Analysis" dataset contains ultrahigh-speed image sequences of concrete surface cylinders under compression testing in a split Hopkinson pressure bar (SHPB) setup, captured with a Kirana7M camera at frame rates between 1 million and 2 million frames per second (Mfps). A Bézier fitting filtering method has been applied to the raw images to correct for inherent image lag errors of the Kirana7M, enabling proper material analysis based using one-dimensional wave theory. The primary use of this dataset is to estimate the longitudinal wave propagation velocity during the first stress wave transit, achieved through the development of an image-sequence-based approach for selecting stress-wave-induced motion points. Additionally, the dataset is used for the estimation of various material properties, including global deformation, concrete velocity, strain, and stress. Strain measurements obtained through the well-established strain gauge technique—commonly used in split Hopkinson bar testing for material analysis—are also provided within the dataset, for validation of the ultrahigh-speed image sequence analysis.