Fast multiaxial high cycle fatigue evaluation in the probabilistic fatigue post-processor AROMA-PF
2015 (English)In: conference proceedings from the 22nd International Symposium on Air Breathing Engines, 2015Conference paper (Other academic)
The probabilistic high cycle fatigue (HCF) post-processor AROMA-PF, developed mainly for HCF design of compressor blades, is presented. Several local multiaxial HCF criteria have been implemented for computation of the fatigue effective stress, and two volume based probabilistic HCF models have been implemented for computation of the fatigue probability: Weakest-link (WL) and the Volume method for the Probability of Fatigue (VPF). It is shown that for the type of stress history that acts in a compressor blade, for stress invariant based criteria, the effective stress can be expressed in closed form. This enables fast HCF evaluations. By comparing WL and VPF to test data obtained for Ti-6-4 specimens, it is seen that the highest transferability is obtained for WL used in combination with Crossland´s HCF criterion. The results also indicate on that the true fatigue behavior at low failure probabilities is between the predictions obtained by use of WL and VPF.
Place, publisher, year, edition, pages
High cycle fatigue, fatigue post-processor, probabilistic HCF models
Research subject Solid Mechanics
IdentifiersURN: urn:nbn:se:kth:diva-177823OAI: oai:DiVA.org:kth-177823DiVA: diva2:874432
QC 201512042015-11-262015-11-262016-02-22Bibliographically approved