Fatigue life assessment of a low pressure steam turbine blade during transient resonant conditions using a probabilistic approach

dc.contributor.authorBooysen, Christopher
dc.contributor.authorHeyns, P.S. (Philippus Stephanus)
dc.contributor.authorHindley, Michael Philip
dc.contributor.authorScheepers, Ronnie
dc.date.accessioned2015-03-23T07:16:02Z
dc.date.available2015-03-23T07:16:02Z
dc.date.issued2015-04
dc.description.abstractThis paper presents a sequential approach used in fatigue life prediction of a low pressure steam turbine blade during resonance conditions encountered during a turbine start-up by incorporating probabilistic principles. Material fatigue properties are determined through experimental testing of used blade material X22CrMoV12-1 along with statistical modelling using regression analysis to interpret the stress-life diagram. A finite element model of a free-standing LP blade is developed using the principle of substructuring which enables the vibration characteristics and transient stress response of the blade to be determined for variations in blade damping. Random curve fitting routines are performed on the fatigue and FEM stress data to ensure that the selection of the random variables used in fatigue life calculations is stochastic in nature. The random vectors are selected from a multivariate normal distribution. The use of confidence intervals in the probabilistic fatigue life model works effectively in being able to account for uncertainty in the material fatigue strength parameters and varying stress in the blade root. The predicted fatigue life of the blade is shown to be in good agreement with discrete life modelling results.en_ZA
dc.description.librarianhb2015en_ZA
dc.description.urihttp://www.elsevier.com/locate/ijfatigueen_ZA
dc.identifier.citationBooysen, C, Heyns, PS, Hindley, MP & Scheepers, R 2015, 'Fatigue life assessment of a low pressure steam turbine blade during transient resonant conditions using a probabilistic approach', International Journal of Fatigue, vol. 73, no. 4, pp. 17-26.en_ZA
dc.identifier.issn0142-1123 (print)
dc.identifier.issn1879-3452 (online)
dc.identifier.other10.1016/j.ijfatigue.2014.11.007
dc.identifier.urihttp://hdl.handle.net/2263/44100
dc.language.isoenen_ZA
dc.publisherElsevieren_ZA
dc.rights© 2014 Elsevier Ltd. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in International Journal of Fatigue. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Fatigue, vol. 73, no. 4, pp. 17-26, 2015. doi :10.1016/j.ijfatigue.2014.11.007.en_ZA
dc.subjectFatigue lifeen_ZA
dc.subjectFinite element analysisen_ZA
dc.subjectSteam turbineen_ZA
dc.subjectTransient resonant stressen_ZA
dc.subjectMultivariate normal distributionen_ZA
dc.subject.otherEngineering, built environment and information technology articles SDG-07
dc.subject.otherSDG-07: Affordable and clean energy
dc.subject.otherEngineering, built environment and information technology articles SDG-09
dc.subject.otherSDG-09: Industry, innovation and infrastructure
dc.titleFatigue life assessment of a low pressure steam turbine blade during transient resonant conditions using a probabilistic approachen_ZA
dc.typePostprint Articleen_ZA

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