Structural Health Monitoring Technique for Tripod Support Structure of Offshore Wind Turbine

해상풍력터빈 트라이포드 지지구조물의 건전성 모니터링 기법

  • 이종원 (남서울대학교, 건축공학과)
  • Received : 2018.11.08
  • Accepted : 2018.11.22
  • Published : 2018.12.31

Abstract

A damage detection method for the tripod support structure of offshore wind turbines is presented for structural health monitoring. A finite element model of a prototype tripod support structure is established and the modal properties are calculated. The degree and location of the damage are estimated based on the neural network technique using the changes of natural frequencies and mode shape due to the damage. The stress distribution occurring in the support structure is obtained by a dynamic analysis for the wind turbine system to select the output data of the neural network. The natural frequencies and mode shapes for 36 possible damage scenarios were used for the input data of the learned neural network for damage assessment. The estimated damages agreed reasonably well with the accurate ones. The presented method could be effectively applied for damage detection and structural health monitoring of various types of support structures of offshore wind turbines.

Keywords

Acknowledgement

Supported by : 한국연구재단

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