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    Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10259/8496

    Título
    Optimization of the t/10 offset correlation method to obtain the yield strength with the Small Punch Test
    Autor
    Calaf Chica, JoséUBU authority Orcid
    Bravo Díez, Pedro MiguelUBU authority Orcid
    Preciado Calzada, MónicaUBU authority Orcid
    García Tárrago, María JoséUBU authority
    Publicado en
    Journal of Nuclear Materials. 2020, V. 534, 152177
    Editorial
    Elsevier
    Fecha de publicación
    2020-06
    ISSN
    0022-3115
    DOI
    10.1016/j.jnucmat.2020.152177
    Abstract
    The Small Punch Test (SPT) was developed as an alternative test to evaluate the mechanical properties of materials from a small material volume. Although the SPT is close to its standardization as a mechanical testing method, there are many methodologies for the estimation of the different mechanical properties. All of them are based on the use of a correlation equation to link the SPT and the estimated mechanical property. The scattering of these correlation methods is generally great enough to make it necessary to delve deeper into the understanding of the physical behavior of the SPT. This investigation was based on previous numerical studies related with the multi-dependency with more than one mechanical property of the correlation methods for the yield strength estimation. Specifically, an optimization of the t/10 offset correlation method was designed introducing the minimum slope Slopemin of the zone III of the SPT curve in the correlation equation. This optimized t/10 offset method showed a significant reduction of the scattering between its regression surface and the material data. After completing this numerical analysis, experimental tests (tensile and SPT tests) were performed to validate the new method.
    Palabras clave
    Small punch test
    SPT
    Yield strength
    t/10 offset method
    Materia
    Resistencia de materiales
    Strength of materials
    Ingeniería mecánica
    Mechanical engineering
    Ensayos (Tecnología)
    Testing
    URI
    http://hdl.handle.net/10259/8496
    Versión del editor
    https://doi.org/10.1016/j.jnucmat.2020.152177
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