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Feasibility for Damage Identification in Offshore Wind Jacket Structures through Monitoring of Global Structural Dynamics

Author

Listed:
  • Mark Richmond

    (Department of Naval Architecture, Ocean & Marine Engineering, University of Strathclyde, Glasgow G4 0LZ, UK)

  • Ursula Smolka

    (Offshore Wind New Services Department, Ramboll, 20095 Hamburg, Germany)

  • Athanasios Kolios

    (Department of Naval Architecture, Ocean & Marine Engineering, University of Strathclyde, Glasgow G4 0LZ, UK)

Abstract

The modal response of a four-legged jacket structure to damages are explored and resulting considerations for damage detection are discussed. A finite element model of the Wikinger (Iberdrola) jacket structure is used to investigate damage detection. Damages, such as cracks, scour, corrosion and more, are modelled in a simulation environment. The resulting modal parameters are calculated, these parameters are compared to those from an unaltered structure and metrics are calculated including frequency change, modal assurance criterion and modal flexibility. A highly detailed design-model is used to conduct a sensitivity study on modal parameters for a range of changes. By conducting this on the same structure, this acts as a useful reference for those interested in the dynamic response of offshore wind jacket structures. Additionally, this paper addresses the issue of changes in mode parameters resulting from turbine yaw. This paper also considers the challenge of mode-swapping in semi-symmetric structures and proposes several approaches for addressing this. Damage typically results in a reduction of frequency and change in mode shapes, but in ways which can be distinguished from other structural changes, given the extent of this model. These findings are important considerations for modal-based damage detection of offshore wind support structures.

Suggested Citation

  • Mark Richmond & Ursula Smolka & Athanasios Kolios, 2020. "Feasibility for Damage Identification in Offshore Wind Jacket Structures through Monitoring of Global Structural Dynamics," Energies, MDPI, vol. 13(21), pages 1-24, November.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:21:p:5791-:d:440383
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    References listed on IDEAS

    as
    1. Cevasco, D. & Koukoura, S. & Kolios, A.J., 2021. "Reliability, availability, maintainability data review for the identification of trends in offshore wind energy applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 136(C).
    2. Maria Martinez-Luengo & Mahmood Shafiee, 2019. "Guidelines and Cost-Benefit Analysis of the Structural Health Monitoring Implementation in Offshore Wind Turbine Support Structures," Energies, MDPI, vol. 12(6), pages 1-26, March.
    3. Maria Martinez Luengo & Athanasios Kolios, 2015. "Failure Mode Identification and End of Life Scenarios of Offshore Wind Turbines: A Review," Energies, MDPI, vol. 8(8), pages 1-16, August.
    4. Yu-Kai Wang & Juin-Fu Chai & Yu-Wen Chang & Ti-Ying Huang & Yu-Shu Kuo, 2016. "Development of Seismic Demand for Chang-Bin Offshore Wind Farm in Taiwan Strait," Energies, MDPI, vol. 9(12), pages 1-19, December.
    5. Shuqing Wang & Min Zhang & Huajun Li, 2015. "Damage Localization of an Offshore Platform considering Temperature Variations," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-10, October.
    6. Martinez-Luengo, Maria & Kolios, Athanasios & Wang, Lin, 2016. "Structural health monitoring of offshore wind turbines: A review through the Statistical Pattern Recognition Paradigm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 91-105.
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