Duran Vergara, Laura CamilaLeicht, LenaBeckmann, BirgitMaas, Hans-Gerd2024-10-282024-10-282022-03-152024-10-28https://opara.zih.tu-dresden.de/handle/123456789/1042https://doi.org/10.25532/OPARA-655The "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.Attribution-NonCommercial-ShareAlike 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-sa/4.0/4::45::410::410-03