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Fatigue probability assessment including aleatory and epistemic uncertainty with application to gas turbine compressor blades
KTH, School of Engineering Sciences (SCI), Solid Mechanics (Dept.).ORCID iD: 0000-0003-0275-5557
KTH, School of Engineering Sciences (SCI), Solid Mechanics (Dept.).ORCID iD: 0000-0001-6375-6292
KTH, School of Engineering Sciences (SCI), Solid Mechanics (Dept.).ORCID iD: 0000-0001-8068-2360
2017 (English)In: International Journal of Fatigue, ISSN 0142-1123, E-ISSN 1879-3452, Vol. 95, p. 132-142Article in journal (Refereed) Published
Abstract [en]

In, this work, a new method for fatigue probability assessment is introduced. The method is applied to a bladed disk in a gas turbine for computation of the high cycle fatigue probability. Both epistemic and aleatory uncertainties are modeled. The aleatory uncertainty is of two types: Variable aleatory uncertainty is modeled by use of stochastic variables that influence the problem, including both design variables and stochastic parameters. Physical aleatory uncertainty is modeled by use of a probability that remains even if all stochastic variables are replaced by deterministic values. The fatigue behavior of a material exhibits physical aleatory uncertainty. The results show that the epistemic uncertainty in the modeling of the aero-forcing gives the major contribution to uncertainty in the computed failure probability. The new method is also used to study the influence on the probability of high cycle fatigue that comes from the stochastic variables.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 95, p. 132-142
Keywords [en]
Failure probability, Fatigue assessment, High cycle fatigue, Uncertainty, Compressor blade
National Category
Materials Engineering
Identifiers
URN: urn:nbn:se:kth:diva-199462DOI: 10.1016/j.ijfatigue.2016.10.001ISI: 000389159700012Scopus ID: 2-s2.0-84992210929OAI: oai:DiVA.org:kth-199462DiVA, id: diva2:1067933
Note

QC 20170123

Available from: 2017-01-23 Created: 2017-01-09 Last updated: 2017-11-29Bibliographically approved

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Sandberg, DanielMansour, RamiOlsson, Mårten

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