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Realistic examination of the fatigue life of a wind turbine tower using data from long term monitoring

 Realistic examination of the fatigue life of a wind turbine tower using data from long term monitoring
Author(s): , ORCID
Presented at IABSE Conference: Structural Engineering: Providing Solutions to Global Challenges, Geneva, Switzerland, September 2015, published in , pp. 298-304
DOI: 10.2749/222137815818357214
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The structural components of wind turbines (WT) are currently designed for a service life of 20 years only and the limiting criterion is the fatigue safety with respect to the fatigue loading gener...
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Bibliographic Details

Author(s): (Laboratory of Maintenance and Safety of Structures (MCS), École Polytechnique Fédérale de Lausanne, Switzerland)
ORCID (Laboratory of Maintenance and Safety of Structures (MCS), École Polytechnique Fédérale de Lausanne, Switzerland)
Medium: conference paper
Language(s): English
Conference: IABSE Conference: Structural Engineering: Providing Solutions to Global Challenges, Geneva, Switzerland, September 2015
Published in:
Page(s): 298-304 Total no. of pages: 7
Page(s): 298-304
Total no. of pages: 7
Year: 2015
DOI: 10.2749/222137815818357214
Abstract:

The structural components of wind turbines (WT) are currently designed for a service life of 20 years only and the limiting criterion is the fatigue safety with respect to the fatigue loading generated by the wind. However, effective fatigue loading endured by the tower and foundation could be much lower than the theoretical fatigue loading provided by codes, mainly because wind conditions are likely to be below the design assumptions. In order to extend the service life of the structural components of wind turbines, site‐related wind conditions and their actions of structural components should be measured on existing WTs. The method described in this paper proposes a long‐term monitoring that will allow owner to extend the service life of their wind turbines.

Keywords:
wind turbines existing structures fatigue loading long‐term monitoring

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