Monitoring of wind turbine structures using stationary sensors and short-term optical techniques

Max Botz, Manuel Raith, Altug Emiroglu, Christian U. Grosse

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

This research deals with monitoring of a large onshore wind turbine (3 MW, 142.5 m hub height) with a hybrid (steel/concrete) tower design. The structural dynamics of the tower are monitored by stationary sensors installed inside the tower and short-term optical techniques. The insights are used to calibrate a detailed finite element model of the tower. Combining measurement data and a finite element model, the overall objective of the project can be reached, which is to detect defects and fatigue and to estimate the remaining service-life of the wind turbine support structure. Modal parameters of the structure including uncertainties were obtained by operational modal analysis of 244 10-min. vibration monitoring datasets. The resulting first and second order bending eigenfrequencies (0.27 Hz and 1.17 Hz) were deployed for validating and improving a finite element model by adding initial displacement stiffness. Besides validation using modal parameters a comparison of the structural response from field measurements and FE model is scheduled. Therefore tower displacement is determined from acceleration and digital image correlation of video data. Test measurements at the full-size test wind turbine were carried out providing coinciding displacement values.

Original languageEnglish
Title of host publicationStructural Health Monitoring 2017
Subtitle of host publicationReal-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017
EditorsFu-Kuo Chang, Fotis Kopsaftopoulos
PublisherDEStech Publications
Pages2514-2521
Number of pages8
ISBN (Electronic)9781605953304
DOIs
StatePublished - 2017
Event11th International Workshop on Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance, IWSHM 2017 - Stanford, United States
Duration: 12 Sep 201714 Sep 2017

Publication series

NameStructural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017
Volume2

Conference

Conference11th International Workshop on Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance, IWSHM 2017
Country/TerritoryUnited States
CityStanford
Period12/09/1714/09/17

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