Surface and sub-surface probabilistic modelsfor HCF
(English)Manuscript (preprint) (Other academic)
In this paper, new probabilistic HCF evaluation models based on the surface andthe sub-surface region is presented. The sub-surface model stem from the hypoth-esis that the highest fatigue risk depends on the loading in a region slightly belowthe free surface area. There, the materials microstructural barriers must be over-come by fatigue crack propagation. The size of the region with high load below thesurface affects the fatigue risk. The predictive capability of the new proposed HCFmodel is studied along with comparisons to other state of the art HCF probabilisticmodels. Fatigue data originating from different geometries and materials conductedat different loading modes, rotating bending and uniaxial loading is used for theanalysis. The investigation performed in this work indicate that the new proposedmodels increase the prediction accuracy and hence predictive capability.
Experiments, probabilistic model, highly loaded regions, high cycle fatigue
Research subject Solid Mechanics
IdentifiersURN: urn:nbn:se:kth:diva-178054OAI: oai:DiVA.org:kth-178054DiVA: diva2:876495
QC 201512112015-12-032015-12-032015-12-11Bibliographically approved