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Fatigue reliability assessment of welded bridge details using probabilistic fracture mechanics
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Structural Engineering and Bridges. (Bro- och stålbyggnad)ORCID iD: 0000-0002-2833-4585
Chalmers. (Konstruktionsteknik)ORCID iD: 0000-0002-2838-1517
Chalmers. (Konstruktionsteknik)ORCID iD: 0000-0003-0191-2899
2016 (English)In: IABSE Congress Stockholm 2016 Report: Challenges in Design and Construction of an Innovative and Sustainable Built Environment, Zürich: IABSE c/o ETH Hönggerberg , 2016Conference paper (Refereed)
Abstract [en]

The safe life method for the fatigue life prediction of steel bridges has for several cases been shown to render misleading results. To improve the accuracy, a probabilistic model based on linear elastic fracture mechanics (LEFM) is suggested. The model is used for a sensitivity analysis on the influence of different modelling options pertinent for a fatigue assessment of bridge details. The influence of material parameters and the crack growth threshold have been investigated. The analyses have been performed for a bridge detail frequently occurring in old steel bridges and a stress range spectrum based on measurements. The results show a significant difference in the estimated fatigue life depending on the modelling options. Furthermore, the omission sensitivity factors have been estimated for the probabilistic model showing the influence of the uncertainties of the variables and which of them that needs to be determined with care.

Place, publisher, year, edition, pages
Zürich: IABSE c/o ETH Hönggerberg , 2016.
Keyword [en]
Life prediction; Reliability; Linear elastic fracture mechanics (LEFM)
National Category
Infrastructure Engineering
Research subject
Civil and Architectural Engineering
URN: urn:nbn:se:kth:diva-195633OAI: diva2:1044725
IABSE Congress Stockholm 2016
Swedish Transport Administration, BBT project number 2013-004

QC 20161122

Available from: 2016-11-05 Created: 2016-11-05 Last updated: 2016-11-22Bibliographically approved

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Leander, JohnZamiri Akhlaghi, FarshidAl-Emrani, Mohammad
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