A Probabilistic Method for Multiaxial HCF based on highly loaded regions below the threshold depth
2016 (English)In: International Journal of Fatigue, ISSN 0142-1123, E-ISSN 1879-3452, Vol. 87, 91-101 p.Article in journal, Editorial material (Refereed) Published
For High Cycle Fatigue (HCF) assessment of structural components, a variety of evaluation methods that take important factors into account are available. The application of probabilistic evaluation methods is not always straightforward. Investigations show that the methods have limited predictive capability and most often poor transferability of fatigue test results for more complex geometries. Here, a new probabilistic HCF model based on the concept of highly loaded region is proposed. A depth parameter is taking on an important role in the proposed model. Different local stress criteria in combination with the new model and two other evaluation methods are studied. The purpose is to determine the combination of criteria and evaluation method that gives the best transferability. The results show that the new model has superior predictive capability than other models regardless the choice of fatigue stress criteria.
Place, publisher, year, edition, pages
Elsevier, 2016. Vol. 87, 91-101 p.
Research subject Solid Mechanics
IdentifiersURN: urn:nbn:se:kth:diva-177854DOI: 10.1016/j.ijfatigue.2016.01.002ISI: 000374615900011ScopusID: 2-s2.0-84956873859OAI: oai:DiVA.org:kth-177854DiVA: diva2:874539
QC 20151204 QC 201605202015-11-272015-11-272016-05-20Bibliographically approved