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Reliability Analysis of Fatigue Failure of Cast Components for Wind Turbines

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  • Hesam Mirzaei Rafsanjani

    (Department of Civil Engineering, Aalborg University, Aalborg 9200, Denmark)

  • John Dalsgaard Sørensen

    (Department of Civil Engineering, Aalborg University, Aalborg 9200, Denmark)

Abstract

Fatigue failure is one of the main failure modes for wind turbine drivetrain components made of cast iron. The wind turbine drivetrain consists of a variety of heavily loaded components, like the main shaft, the main bearings, the gearbox and the generator. The failure of each component will lead to substantial economic losses such as cost of lost energy production and cost of repairs. During the design lifetime, the drivetrain components are exposed to variable loads from winds and waves and other sources of loads that are uncertain and have to be modeled as stochastic variables. The types of loads are different for offshore and onshore wind turbines. Moreover, uncertainties about the fatigue strength play an important role in modeling and assessment of the reliability of the components. In this paper, a generic stochastic model for fatigue failure of cast iron components based on fatigue test data and a limit state equation for fatigue failure based on the SN-curve approach and Miner’s rule is presented. The statistical analysis of the fatigue data is performed using the Maximum Likelihood Method which also gives an estimate of the statistical uncertainties. Finally, illustrative examples are presented with reliability analyses depending on various stochastic models and partial safety factors.

Suggested Citation

  • Hesam Mirzaei Rafsanjani & John Dalsgaard Sørensen, 2015. "Reliability Analysis of Fatigue Failure of Cast Components for Wind Turbines," Energies, MDPI, vol. 8(4), pages 1-16, April.
  • Handle: RePEc:gam:jeners:v:8:y:2015:i:4:p:2908-2923:d:48250
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    References listed on IDEAS

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    1. Liu, W.Y. & Zhang, W.H. & Han, J.G. & Wang, G.F., 2012. "A new wind turbine fault diagnosis method based on the local mean decomposition," Renewable Energy, Elsevier, vol. 48(C), pages 411-415.
    2. Soua, Slim & Van Lieshout, Paul & Perera, Asanka & Gan, Tat-Hean & Bridge, Bryan, 2013. "Determination of the combined vibrational and acoustic emission signature of a wind turbine gearbox and generator shaft in service as a pre-requisite for effective condition monitoring," Renewable Energy, Elsevier, vol. 51(C), pages 175-181.
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    1. Hesam Mirzaei Rafsanjani & John Dalsgaard Sørensen & Søren Fæster & Asger Sturlason, 2017. "Fatigue Reliability Analysis of Wind Turbine Cast Components," Energies, MDPI, vol. 10(4), pages 1-14, April.
    2. Ahmet Selim Pehlivan & Mahmut Faruk Aksit & Kemalettin Erbatur, 2021. "Fatigue Analysis Design Approach, Manufacturing and Implementation of a 500 kW Wind Turbine Main Load Frame," Energies, MDPI, vol. 14(12), pages 1-15, June.
    3. Liao, Ding & Zhu, Shun-Peng & Correia, José A.F.O. & De Jesus, Abílio M.P. & Veljkovic, Milan & Berto, Filippo, 2022. "Fatigue reliability of wind turbines: historical perspectives, recent developments and future prospects," Renewable Energy, Elsevier, vol. 200(C), pages 724-742.
    4. Zhiyu Jiang & Weifei Hu & Wenbin Dong & Zhen Gao & Zhengru Ren, 2017. "Structural Reliability Analysis of Wind Turbines: A Review," Energies, MDPI, vol. 10(12), pages 1-25, December.

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