Data-Driven Fatigue Reliability Evaluation of Offshore Wind Turbines under Floating Ice Loading
Publication: Journal of Structural Engineering
Volume 150, Issue 12
Abstract
Floating ice loading is a severe natural hazard for offshore wind turbines (OWTs) operating in cold sea regions. The long-term ice-induced vibration resulting from winter drift ice presents a significant threat to the fatigue reliability of OWTs. Machine learning not only exhibits robust data-driven capabilities but also efficiently handles complex relationships among multiple factors. Through effective learning and utilization of diverse features, a comprehensive assessment of the fatigue reliability of structures becomes achievable, consequently resulting in increased efficiency, accuracy, and adaptability of the assessment. This study conducts ice-induced vibration simulations on a 5-MW monopile OWT. Employing orthogonal experimental methods, the study investigates the influence of three critical ice parameters, i.e., ice thickness, ice velocity, and ice crushing strength, on the fatigue damage caused by ice loading on OWTs. Additionally, it explores the effects of ice loading exceedance probability on extreme fatigue damage values of OWTs under combined ice and wind loadings. Furthermore, a surrogate model based on support vector machine (SVM) is developed to effectively capture the intricate mapping relationship between fatigue damage and various random environmental parameters. By conducting a comprehensive evaluation that considers the probabilistic characteristics of ice loading, wind loading, and the curve, this study assesses the fatigue reliability under combined ice and wind. Moreover, this study analyzes the impact of operational duration during winter drift ice on the fatigue reliability index of OWTs. The findings of this study can provide a theoretical basis for devising operational strategies for OWTs operating in icy sea regions.
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Data Availability Statement
All data, models, or code generated or used during this study are available from the corresponding author upon reasonable request.
Acknowledgments
This work was financially supported by the National Natural Science Foundation of China (Grant Nos. 52201313 and 52478498) and the Fundamental Research Funds for the Central Universities [Grant Nos. DUT22RC(3)091 and DUT23RC(3)020].
References
Adaryani, F. R., S. J. Mousavi, and F. Jafari. 2022. “Short-term rainfall forecasting using machine learning-based approaches of PSO-SVR, LSTM and CNN.” J. Hydrol. 614 (Nov): 128463. https://doi.org/10.1016/j.jhydrol.2022.128463.
Carswell, W., J. Johansson, F. Løvholt, S. R. Arwade, C. Madshus, D. J. DeGroot, and A. T. Myers. 2015. “Foundation damping and the dynamics of offshore wind turbine monopiles.” Renewable Energy 80 (Aug): 724–736. https://doi.org/10.1016/j.renene.2015.02.058.
Cho, T., T. S. Kim, D. H. Lee, S. H. Han, and J. H. Choi. 2009. “Reliability analysis of a suspension bridge affected by hydrogen induced cracking based upon response surface method.” ISIJ Int. 49 (9): 1414–1423. https://doi.org/10.2355/isijinternational.49.1414.
Colone, L., A. Natarajan, and N. Dimitrov. 2018. “Impact of turbulence induced loads and wave kinematic models on fatigue reliability estimates of offshore wind turbine monopiles.” Ocean Eng. 155 (May): 295–309. https://doi.org/10.1016/j.oceaneng.2018.02.045.
Damgaard, M., L. V. Andersen, and L. B. Ibsen. 2015. “Dynamic response sensitivity of an offshore wind turbine for varying subsoil conditions.” Ocean Eng. 101 (Jun): 227–234. https://doi.org/10.1016/j.oceaneng.2015.04.039.
DNV (Det Norske Veritas). 2014. Design of offshore wind turbine structures. DNV-OS-J101. Høvik, Norway: DNV.
Dong, W., T. Moan, and Z. Gao. 2012. “Fatigue reliability analysis of the jacket support structure for offshore wind turbine considering the effect of corrosion and inspection.” Reliab. Eng. Syst. Saf. 106 (Oct): 11–27. https://doi.org/10.1016/j.ress.2012.06.011.
Dong, Y., Y. Garbatov, and C. G. Soares. 2022. “Recent developments in fatigue assessment of ships and offshore structures.” J. Mar. Sci. Appl. 21 (4): 3–25. https://doi.org/10.1007/s11804-022-00301-x.
Fang, H., M. Duan, F. Xu, Z. Shen, and Y. Liu. 2000. “Reliability analysis of ice-induced fatigue and damage in offshore engineering structures.” China Ocean Eng. 14 (1): 15–24. https://doi.org/CNKI:SUN:CHIU.0.2000-01-001.
Fontana, C. M., W. Carswell, S. R. Arwade, D. J. DeGroot, and A. T. Myers. 2015. “Sensitivity of the dynamic response of monopile-supported offshore wind turbines to structural and foundation damping.” Wind Eng. 39 (6): 609–627. https://doi.org/10.1260/0309-524X.39.6.609.
Germanischer Lloyd. 2005. Guideline for the certification of offshore wind turbines. Hamburg, Germany: Germanischer Lloyd.
Han, C., K. Liu, Y. Ma, P. Qin, and T. Zou. 2021. “Multiaxial fatigue assessment of jacket-supported offshore wind turbines considering multiple random correlated loads.” Renewable Energy 169 (May): 1252–1264. https://doi.org/10.1016/j.renene.2021.01.093.
Hansen, M. H., K. Thomsen, P. Fuglsang, and T. Knudsen. 2006. “Two methods for estimating aeroelastic damping of operational wind turbine modes from experiments.” Wind Eng. 9 (1–2): 179–191. https://doi.org/10.1002/we.187.
Heinonen, J., and S. Rissanen. 2017. “Coupled-crushing analysis of a sea ice-wind turbine interaction–feasibility study of FAST simulation software.” Ships Offshore Struct. 12 (8): 1056–1063. https://doi.org/10.1080/17445302.2017.1308782.
Hendrikse, H., F. W. Renting, and A. V. Metrikine. 2014. “Analysis of the fatigue life of offshore wind turbine generators under combined ice-and aerodynamic loading.” In Proc., 33rd ASME Int. Conf. on Ocean, Offshore and Arctic Engineering, V010T07A033. New York: ASME.
Horn, J.-T., and B. J. Leira. 2019. “Fatigue reliability assessment of offshore wind turbines with stochastic availability.” Reliab. Eng. Syst. Saf. 191 (Nov): 106550. https://doi.org/10.1016/j.ress.2019.106550.
IEC (International Electrotechnical Commission). 2009. Wind turbines—Part 3: Design requirements for offshore wind turbines. IEC 61400-3: 2009. Geneva: IEC.
IRENA (International Renewable Energy Agency). 2023. Vol. 1 of World energy transitions outlook 2023: 1.5°C pathway. Masdar City, Abu Dhabi: IRENA.
ISO. 2010. Petroleum and natural gas industries—Arctic offshore structures. ISO 19906: 2010. Geneva: ISO.
Ji, S.-Y., Q.-J. Yue, and X.-J. Bi. 2002. “Probability distribution of sea ice fatigue parameters in JZ 20-2 sea area of Liaodong Bay.” Ocean Eng. 20 (3): 39–43. https://doi.org/10.16483/j.issn.1005-9865.2002.03.007.
Jimenez-Martinez, M. 2021. “Harbor and coastal structures: A review of mechanical fatigue under random wave loading.” Heliyon 7 (10): e08241. https://doi.org/10.1016/j.heliyon.2021.e08241.
Jonkman, J., and L. Buhl. 2006. Turbsim user’s guide. Golden, CO: National Renewable Energy Laboratory.
Jonkman, J., S. Butterfield, W. Musial, and G. Scott. 2009. Definition of a 5-MW reference wind turbine for offshore system development. Golden, CO: National Renewable Energy Laboratory.
Kärnä, T., Y. Qu, X. Bi, Q. Yue, and W. Kühnlein. 2007. “A spectral model for forces due to ice crushing.” J. Offshore Mech. Arct. Eng. 129 (2): 138–145. https://doi.org/10.1115/1.2426997.
Kärnä, T., Y. Qu, and W. L. Kühnlein. 2004. “A new spectral method for modeling dynamic ice actions.” In Proc., 23th Int. Conf. on Offshore Mechanics and Arctic Engineering. New York: ASME.
Koukoura, C., A. Natarajan, and A. Vesth. 2015. “Identification of support structure damping of a full scale offshore wind turbine in normal operation.” Renewable Energy 81 (Sep): 882–895. https://doi.org/10.1016/j.renene.2015.03.079.
Kuhn, M. 2001. “Dynamics and design optimization of offshore wind energy conversion systems.” Ph.D. thesis, Dept. of Marine and Transport Technology, Delft Univ. of Technology.
Liu, Y., J. Wang, Y. Ba, and S. Ji. 2022. “Ice-induced fatigue life analysis of offshore wind turbine structures in ice regions.” Ship Eng. 44 (2): 1–8. https://doi.org/10.13788/j.cnki.cbgc.2022.02.01.
Manwell, J. F., J. G. McGowan, and A. L. Rogers. 2006. “Wind energy explained: Theory, design and application.” Wind Eng. 30 (2): 169–170. https://doi.org/10.1260/030952406778055054.
McCoy, T. J., A. Byrne, and T. Brown. 2015. “Surface ice effects on the extreme and fatigue loading of bottom fixed offshore wind turbines.” In Proc., 33rd Wind Energy Symp. Reston, VA: American Institute of Aeronautics and Astronautics.
Popko, W. 2020. Impact of sea ice loads on global dynamics of offshore wind turbines. Munich, Germany: Fraunhofer Institute for Wind Energy Systems IWES.
Qian, H.-M., H.-Z. Huang, and J. Wei. 2023. “Time-variant reliability analysis for a complex system based on active-learning kriging model.” ASCE-ASME J. Risk Uncertainty Eng. Syst. Part A: Civ. Eng. 9 (1): 04022055. https://doi.org/10.1061/ajrua6.Rueng-962.
Qu, Y. 2006. “Random ice load analysis of marine structures based on on-site experiments.” Doctoral dissertation, School of Infrastructure Engineering, Dalian Univ. of Technology.
Rezaei, R., P. Fromme, and P. Duffour. 2018. “Fatigue life sensitivity of monopile-supported offshore wind turbines to damping.” Renewable Energy 123 (Aug): 450–459. https://doi.org/10.1016/j.renene.2018.02.086.
Schafhirt, S., and M. Muskulus. 2018. “Decoupled simulations of offshore wind turbines with reduced rotor loads and aerodynamic damping.” Wind Energy Sci. 3 (1): 25–41. https://doi.org/10.5194/wes-3-25-2018.
Sun, C., and V. Jahangiri. 2019. “Fatigue damage mitigation of offshore wind turbines under real wind and wave conditions.” Eng. Struct. 178 (Jan): 472–483. https://doi.org/10.1016/j.engstruct.2018.10.053.
Velarde, J., C. Kramhoft, J. D. Sorensen, and G. Zorzi. 2020. “Fatigue reliability of large monopiles for offshore wind turbines.” Int. J. Fatigue 134 (May): 105487. https://doi.org/10.1016/j.ijfatigue.2020.105487.
Wang, K., C. Ji, H. Xue, and W. Tang. 2016. “Fatigue damage characteristics of a semisubmersible-type floating offshore wind turbine at tower base.” J. Renewable Sustainable Energy 8 (5): 053307. https://doi.org/10.1063/1.4964366.
Wu, T., C. Zhang, and X. Guo. 2024. “Dynamic responses of monopile offshore wind turbines in cold sea regions: Ice and aerodynamic loads with soil-structure interaction.” Ocean Eng. 292 (Jan): 116536. https://doi.org/10.1016/j.oceaneng.2023.116536.
Yang, Y., M. Bashir, C. Li, and J. Wang. 2019. “Analysis of seismic behaviour of an offshore wind turbine with a flexible foundation.” Ocean Eng. 178 (Apr): 215–228. https://doi.org/10.1016/j.oceaneng.2019.02.077.
Yang, Y., and H. Li. 2023. “Time-dependent reliability calculation method of RC bridges based on the dual neural network.” Soft Comput. 27 (13): 8855–8866. https://doi.org/10.1007/s00500-022-07763-9.
Zhu, B., C. Sun, and V. Jahangiri. 2021. “Characterizing and mitigating ice-induced vibration of monopile offshore wind turbines.” Ocean Eng. 219 (Jan): 108406. https://doi.org/10.1016/j.oceaneng.2020.108406.
Zuo, H., K. Bi, and H. Hao. 2018. “Dynamic analyses of operating offshore wind turbines including soil-structure interaction.” Eng. Struct. 157 (Feb): 42–62. https://doi.org/10.1016/j.engstruct.2017.12.001.
Information & Authors
Information
Published In
Journal of Structural Engineering
Volume 150 • Issue 12 • December 2024
Copyright
© 2024 American Society of Civil Engineers.
History
Received: Nov 21, 2023
Accepted: Jul 15, 2024
Published online: Sep 30, 2024
Published in print: Dec 1, 2024
Discussion open until: Feb 28, 2025
ASCE Technical Topics:
- Artificial intelligence and machine learning
- Coasts, oceans, ports, and waterways engineering
- Cold regions engineering
- Computer programming
- Computing in civil engineering
- Continuum mechanics
- Dynamic loads
- Dynamics (solid mechanics)
- Energy engineering
- Energy sources (by type)
- Engineering mechanics
- Fatigue (material)
- Ice
- Ice loads
- Material mechanics
- Material properties
- Materials engineering
- Ocean engineering
- Offshore structures
- Renewable energy
- Solid mechanics
- Static loads
- Statics (mechanics)
- Structural analysis
- Structural dynamics
- Structural engineering
- Wind engineering
- Wind loads
- Wind power
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