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Bayesian Fatigue Life Prediction

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Summary

Fatigue failure is an important failure mode for offshore structural joints, in particular for dynamically sensitive deep water structures. To predict the fatigue life only a few test results are generally available for the actual type of joint. In addition, however, test results for joints with slightly different geometries are available. Fatigue life predictions can be based on a Bayesian linear regression analysis with prior information from behavior of similar joints. The posterior distribution of the regression parameters is then used in predicting the fatigue life. First and second order reliability methods (FORM and SORM) are applied. Besides the statistical uncertainty, also the uncertainty in the overall loading, the uncertainty in the local hot spot stress calculation and the uncertainty in the strength reduction due to increased thickness are included.

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© 1985 Springer-Verlag, Berlin, Heidelberg

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Madsen, H.O. (1985). Bayesian Fatigue Life Prediction. In: Eggwertz, S., Lind, N.C. (eds) Probabilistic Methods in the Mechanics of Solids and Structures. International Union of Theoretical and Applied Mechanics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-82419-7_37

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  • DOI: https://doi.org/10.1007/978-3-642-82419-7_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-82421-0

  • Online ISBN: 978-3-642-82419-7

  • eBook Packages: Springer Book Archive

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