2016
DOI: 10.1016/j.msea.2016.01.077
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Fracture toughness characterization through notched small punch test specimens

Abstract: In this work a novel methodology for fracture toughness characterization by means of the small punch test (SPT) is presented. Notched specimens are employed and fracture resistance is assessed through a critical value of the notch mouth displacement δ SPT . Finite element simulations and interrupted experiments are used to track the evolution of δ SPT as a function of the punch displacement. The onset of crack propagation is identified by means of a ductile damage model and the outcome compared to the crack ti… Show more

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Cited by 50 publications
(30 citation statements)
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“…Attending to the specimen geometry and test setup, quasi-static conditions are assumed and a 3-D approach is adopted, taking advantage of symmetry when possible. As described elsewhere [18,26], 8-node linear brick elements are employed, with the mesh gradually being refined towards the notch, where the characteristic element length is determined from a sensitivity study. The lower matrix, the fixer and the punch are modeled as rigid bodies and their degrees of freedom are restricted except for the vertical displacement of the punch.…”
Section: Resultsmentioning
confidence: 99%
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“…Attending to the specimen geometry and test setup, quasi-static conditions are assumed and a 3-D approach is adopted, taking advantage of symmetry when possible. As described elsewhere [18,26], 8-node linear brick elements are employed, with the mesh gradually being refined towards the notch, where the characteristic element length is determined from a sensitivity study. The lower matrix, the fixer and the punch are modeled as rigid bodies and their degrees of freedom are restricted except for the vertical displacement of the punch.…”
Section: Resultsmentioning
confidence: 99%
“…Different methodologies have been proposed to fit model parameters from a variety of experimental tests (see, e.g., [8,11,18]). A common procedure in the literature is to assume constant values of the parameters q 1 and q 2 (with…”
Section: Gurson-tvergaard-needleman Modelmentioning
confidence: 99%
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