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Fatigue assessment and damage detection of wind turbine structures by continuous health monitoring

 Fatigue assessment and damage detection of wind turbine structures by continuous health monitoring
Auteur(s): , ,
Présenté pendant IABSE Symposium: Engineering the Future, Vancouver, Canada, 21-23 September 2017, publié dans , pp. 817-824
DOI: 10.2749/vancouver.2017.0817
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In order to maximize power production, wind turbines (WTs) are continuously emerging as bigger and taller structures, built in more challenging environments. This development however decreases the ...
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Détails bibliographiques

Auteur(s): (Ruhr-Universität Bochum )
(Ruhr-Universität Bochum; Airwerk GmbH, Essen )
(Ruhr-Universität Bochum; Ss. Cyril & Methodius University Skopje)
Médium: papier de conférence
Langue(s): anglais
Conférence: IABSE Symposium: Engineering the Future, Vancouver, Canada, 21-23 September 2017
Publié dans:
Page(s): 817-824 Nombre total de pages (du PDF): 8
Page(s): 817-824
Nombre total de pages (du PDF): 8
Année: 2017
DOI: 10.2749/vancouver.2017.0817
Abstrait:

In order to maximize power production, wind turbines (WTs) are continuously emerging as bigger and taller structures, built in more challenging environments. This development however decreases the reliability of wind turbine (WT) infrastructures. In addition, the dynamic nature of the loads typical for WT structures result in an excessive number of stress cycles during their operation lifetime. This might significantly differ from the fatigue loading design assumptions, which is a determinant factor for limiting the design lifetime of WTs to a minimum target period of 20 years.

Installed Structural Health Monitoring (SHM) system on an operating WT structure provides invaluable insight to the structural performance and can contribute to early damage detection, thus eventually leading to reduced maintenance costs and extension of operation life time. In this paper, a four- year continuously recorded SHM data of an Enercon E40 - 500 kW type WT is utilized for assessing its consumed fatigue life time at a welded connection. The monitoring system was implemented on the WT located in Dortmund, Germany, as part of a DFG-funded research project with cooperation to Ruhr-University Bochum.

Mots-clé:
éolienne