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해상풍력터빈 트라이포드 지지구조물의 건전성 모니터링 기법

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

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키워드

주제분류기타공학

초록

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.

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.

참고문헌 (9)

  1. Faulstich, S., "Research at alpha ventus Joint research at Germany’s first offshore wind farm", 10th Deep Sea Offshore Wind R&D Conference (2013)
  2. Mieloszyk, M., "An application of Structural Health Monitoring system based on FBG sensors to offshore wind turbine support structure model", Marine Structures, 51, pp.65~86 (2017)
  3. Opoka, S., "Damage detection and localization method based on a frequency spectrum change in a scaled tripod model with strain rosettes", Marine Structures, 49, pp.163~179 (2016)
  4. Wei-Hua Hu, W. H., "Vibration-based structural health monitoring of a wind turbine system. Part I: Resonance phenomenon", Engineering Structures, 89, pp.260~272 (2015)
  5. Wei-Hua Hu, W. H., "Vibration-based structural health monitoring of a wind turbine system Part II: Environmental", operational effects on dynamic properties, 2015, pp.89, 273~290
  6. SubDyn User’s Guide and Theory Manual, "Damiani, R.", National Renewable Energy Laboratory, ~, pp.NREL (2015), TP-5000-63026
  7. Offshore Code Comparison Collaboration within IEA Wind Annex XXIII:Phase II Results Regarding Monopile Foundation Modeling, "Jonkman, J.", National Renewable Energy Laboratory, ~, pp.NREL (2008), CP-500-42471
  8. Jonkman, B., "FAST v8.16.00a-bjj", National Renewable Energy Laboratory, ~ (2016)
  9. Haykin, S., "Neural Networks-a Comprehensive Foundation" (1994), Macmillan

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