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A two-scale probabilistic time-dependent fatigue model for offshore steel wind turbines

Authors :
Benjamin Rocher
Anne-Laure Caouissin
Marc François
Arnaud Salou
Franck Schoefs
Institut de Recherche en Génie Civil et Mécanique (GeM)
Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST)
Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)
Source :
International Journal of Fatigue, International Journal of Fatigue, Elsevier, 2020, 136, pp.105620-. ⟨10.1016/j.ijfatigue.2020.105620⟩
Publication Year :
2020
Publisher :
Elsevier BV, 2020.

Abstract

Due to both wave and wind fluctuations, the steel foundations of offshore wind turbines are highly submitted to fatigue. To date, current methods of fatigue design proposed in the regulations are not devoted to structural optimization and to the consideration of time-variant hazards. We propose hence an incremental two-scale model of damage in order to follow the time evolution of the damage. This temporal evolution allows the updating of model parameters using records from Structural Health Monitoring. In this paper, we focus on Bayesian updating of damage parameters and sensitivity analysis of damage assessment to material parameters.

Details

ISSN :
01421123
Volume :
136
Database :
OpenAIRE
Journal :
International Journal of Fatigue
Accession number :
edsair.doi.dedup.....aadcf115b68ba7848f2eb8d40468d0cb
Full Text :
https://doi.org/10.1016/j.ijfatigue.2020.105620