Fatigue damage evaluation using S-N curves obtained by different data fitting methods
conference paper
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
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
TNO Identifier
783116
Source title
39th IABSE Symposium - Engineering the future, September 21-23,2017, Vancouver, Canada
Pages
2551-2558
Files
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