Fatigue damage evaluation using S-N curves obtained by different data fitting methods
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Bibliographic Details
| Author(s): |
Davide Leonetti
(Eindhoven University of Technology, Eindhoven, NB, The Netherlands)
Bahman Hashemi (Eindhoven University of Technology, Eindhoven, NB, The Netherlands) Diego Allaix (TNO, Delft, ZH, The Netherlands) Johan Maljaars (TNO, Delft, ZH, The Netherlands; Eindhoven University of Technology, Eindhoven, NB, The Netherlands) |
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| Medium: | conference paper | ||||
| Language(s): | English | ||||
| Conference: | IABSE Symposium: Engineering the Future, Vancouver, Canada, 21-23 September 2017 | ||||
| Published in: | IABSE Symposium Vancouver 2017 | ||||
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| Page(s): | 2551-2558 | ||||
| Total no. of pages: | 8 | ||||
| Year: | 2017 | ||||
| DOI: | 10.2749/vancouver.2017.2551 | ||||
| Abstract: |
This paper investigates the differences in the predicted fatigue life of transverse butt weld joints and cover-plated beams considering statistically based fitting methods on fatigue test data and comparing the results with the S-N relation proposed in international standards. The test data fitting are performed by employing the Least Square Method (LSM) and the Maximum Likelihood Method (MLM) taking into account the contribution of the runouts. The Mean curve, the characteristic curve and the design curve have been derived. In order to consider the effect of Variable Amplitude loading, the S-N curves have been extended and the fatigue damage according to the Palmgren- Miner cumulative damage rule is evaluated for a load spectrum that follows a Rayleigh distribution. The results have been compared and discussed together with a Linear Elastic Fracture Mechanics (LEFM) based fatigue prediction. |
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| Keywords: |
steel bridges fatigue damage fracture mechanics welds
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