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Gradient elasticity: a transformative stress analysis tool to design notched components against uniaxial/multiaxial high‐cycle fatigue
Author(s) -
Bagni C,
Askes H,
Susmel L
Publication year - 2016
Publication title -
fatigue and fracture of engineering materials and structures
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.887
H-Index - 84
eISSN - 1460-2695
pISSN - 8756-758X
DOI - 10.1111/ffe.12447
Subject(s) - materials science , vibration fatigue , elasticity (physics) , structural engineering , fatigue limit , stress (linguistics) , stress intensity factor , fatigue testing , composite material , engineering , fracture mechanics , linguistics , philosophy
This paper investigates the accuracy of gradient elasticity in estimating high‐cycle fatigue strength of notched components subjected to both uniaxial and multiaxial fatigue loading. A novel design methodology is formulated by combining Ru and Aifantis' gradient elasticity with the Theory of Critical Distances and the Modified Wöhler Curve Method. The key feature of this innovative design methodology is that, via the Theory of Critical Distances, gradient elasticity's length scale parameter is directly estimated from conventional material fatigue properties (i.e. the plain fatigue limit and the threshold value of the stress intensity factor). From a stress analysis point of view, the proposed approach directly post‐processes the gradient‐enriched stress states determined, at the hot‐spots, on the surface of the component under investigation (and independently of the sharpness of the stress concentrator being assessed). The accuracy and reliability of this design method were checked by using a large number of experimental results taken from the literature and generated by testing notched metallic samples under uniaxial as well as under multiaxial fatigue loading. This comprehensive validation exercise demonstrates that the systematic usage of this transformative design approach leads to the same level of accuracy as the one which is obtained by applying the classic Theory of Critical Distances. This result is certainly remarkable because the proposed approach is not only very efficient from a computational point of view, but it also allows high‐cycle fatigue damage to be assessed by directly post‐processing gradient‐enriched stress states determined on the surface of the component being assessed.