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    Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10259/4811

    Título
    CT-Scan study of crack patterns of fiber-reinforced concrete loaded monotonically and under low-cycle fatigue
    Autor
    Vicente Cabrera, Miguel ÁngelUBU authority
    Ruiz, Gonzalo .
    González Cabrera, Dorys CarmenUBU authority
    Mínguez Algarra, JesúsUBU authority
    Tarifa, Manuel .
    Zhang, Xiaoxin .
    Publicado en
    International Journal of Fatigue. 2018, V. 114, p. 138-147
    Editorial
    Elsevier
    Fecha de publicación
    2018-09
    ISSN
    0142-1123
    DOI
    10.1016/j.ijfatigue.2018.05.011
    Abstract
    Most fatigue models for concrete under compression assume, as an axiom, that compressive tests are a limit case for a cyclic test where failure is achieved in the first cycle. This is supported by the fact that the crack patterns obtained in both cases are similar to the naked eye. This paper focuses on verifying whether this observation is correct or not. For that, we used a Computed Tomography Scan together with digital image processing to obtain 3D damage maps of tested 40 mm edge-length cubes made of steel fiber-reinforced concrete. The cubes were classified in series according to the type of loading: intact, monotonic and cyclic. They were scanned to acquire their 3D damage maps. Additionally, a specific post-processing algorithm was developed by the authors to compare the different crack patterns. The results show that average damage maps for monotonically and cyclically-tested cubes are statistically similar, thereby confirming the initial hypothesis for steel fiber-reinforced concrete. Furthermore, damage distribution near the platens apparently depends on whether it is a fixed platen or it is adjustable to the specimen surface due to a spherical seat.
    Palabras clave
    Fatigue of steel fiber-reinforced concrete
    CT-Scan
    digital image processing
    3D crack pattern
    URI
    http://hdl.handle.net/10259/4811
    Versión del editor
    https://doi.org/10.1016/j.ijfatigue.2018.05.011
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