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dc.contributor.authorChehrazi, Ali
dc.contributor.authorWalbridge, Scott
dc.contributor.authorMohareb, Sherif
dc.contributor.authorGoldack, Arndt
dc.contributor.authorSchlaich, Mike 19:34:05 (GMT) 19:34:05 (GMT)
dc.descriptionThis is an Accepted Manuscript of an article published by Taylor & Francis in Structural Engineering International on October 10, 2019, available at:
dc.description.abstractSaddle systems have been used on recent projects to support the cables in cable-stayed and extradosed bridge structures. A major design consideration for these anchorage systems is the in-service fretting fatigue behaviour of the cables within the pylon saddle. In order to better understand the fatigue behaviour of these anchorage systems, a research project was undertaken, wherein fatigue tests were performed on saddle test specimens, analytical models for calculating displacements and contact forces were developed, and a multiaxial stress-based fretting fatigue model was developed for calculating fatigue life. In the current paper, it is shown how the developed models can be used to perform probabilistic analysis of fretting fatigue life for the purpose of assessing the fatigue reliability of saddle systems, using two approaches – fretting maps, in conjunction with Monte Carlo simulation (MCS) or the multiplicative dimensional reduction method (MDRM).en
dc.publisherTaylor and Francisen
dc.relation.ispartofseriesStructural Engineering International;
dc.subjectsaddle supportsen
dc.subjectfretting fatigueen
dc.subjectreliability analysisen
dc.titleProbabilistic Fretting Fatigue Analysis of Bridge Stay Cables at Saddle Supportsen
dcterms.bibliographicCitationAli Chehrazi, Scott Walbridge, Sherif Mohareb, Arndt Goldack & Mike Schlaich (2020) Probabilistic Fretting Fatigue Analysis of Bridge Stay Cables at Saddle Supports, Structural Engineering International, 30:4, 571-579, DOI: 10.1080/10168664.2019.1661332en
uws.contributor.affiliation1Faculty of Engineeringen
uws.contributor.affiliation2Civil and Environmental Engineeringen

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