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Support Condition Monitoring of Offshore Wind Turbines Using Model Updating Techniques

Xu, Ying, Nikitas, George, Zhang, Tong, Han, Qinghua, Chryssanthopoulos, Marios, Bhattacharya, Subhamoy and Wang, Ying (2019) Support Condition Monitoring of Offshore Wind Turbines Using Model Updating Techniques Structural Health Monitoring.

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Abstract

The offshore wind turbines (OWTs) are dynamically sensitive, whose fundamental frequency can be very close to the forcing frequencies activated by the environmental and turbine loads. Minor changes of support conditions may lead to the shift of natural frequencies, and this could be disastrous if resonance happens. To monitor the support conditions and thus to enhance the safety of OWTs, a model updating method is developed in this study. A hybrid sensing system was fabricated and set up in the laboratory to investigate the long-term dynamic behaviour of the OWT system with monopile foundation in sandy deposits. A finite element (FE) model was constructed to simulate structural behaviours of the OWT system. Distributed nonlinear springs and a roller boundary condition are used to model the soil-structure-interaction (SSI) properties. The FE model and the test results were used to analyze the variation of the support condition of the monopile, through an FE model updating process using Estimation of Distribution Algorithms (EDAs). The results show that the fundamental frequency of the test model increases after a period under cyclic loading, which is attributed to the compaction of the surrounding sand instead of local damage of the structure. The hybrid sensing system is reliable to detect both the acceleration and strain responses of the OWT model and can be potentially applied to the remote monitoring of real OWTs. The EDAs based model updating technique is demonstrated to be successful for the support condition monitoring of the OWT system, which is potentially useful for other model updating and condition monitoring applications.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Civil and Environmental Engineering
Authors :
NameEmailORCID
Xu, Ying
Nikitas, Georgegeorgios.nikitas@surrey.ac.uk
Zhang, Tong
Han, Qinghua
Chryssanthopoulos, Mariosmkchry@surrey.ac.uk
Bhattacharya, Subhamoys.bhattacharya@surrey.ac.uk
Wang, Yingying.wang@surrey.ac.uk
Date : 2019
Funders : Engineering and Physical Sciences Research Council (EPSRC)
Grant Title : Institutional Sponsorship 2016 Scheme
Copyright Disclaimer : © the author(s) 2019. Published by SAGE Publications.
Uncontrolled Keywords : Offshore wind turbines; Monopile; Sand; Model updating; Estimation of Distribution Algorithms
Related URLs :
Depositing User : Clive Harris
Date Deposited : 30 Aug 2019 09:25
Last Modified : 13 Aug 2020 11:44
URI: http://epubs.surrey.ac.uk/id/eprint/852509

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