Browsing by Author "Leicht, Lena"

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • ItemOpen Access
    High-contrast mineral-bonded composite systems for impact protection (GRK 2250, Project A6 II)
    (Technische Universität Dresden, 2026-10-16) Leicht, Lena
    The presented data belongs to reinforced concrete (RC) cuboid experiments in the drop tower of TU Dresden. The experiments aimed at characterizing different mineral-bonded composite systems regarding their impact protection performance. Different sensors, such as accelerometers, a laser Doppler vibrometer (LDV), and two high-speed cameras (HSC) tracked the specimen behavior during the experiments. The data is the calibrated and filtered data of these sensors with different evaluations carried out and stored in the files corresponding to the individual experiments.
  • 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.