Mathematics (Sep 2023)

Residual Strength Modeling and Reliability Analysis of Wind Turbine Gear under Different Random Loadings

  • Jianxiong Gao,
  • Yuanyuan Liu,
  • Yiping Yuan,
  • Fei Heng

DOI
https://doi.org/10.3390/math11184013
Journal volume & issue
Vol. 11, no. 18
p. 4013

Abstract

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A novel method is proposed to investigate the pattern of variation in the residual strength and reliability of wind turbine gear. First, the interaction between loads and the effect of the loading sequence is considered based on the fatigue damage accumulation theory, and a residual strength degradation model with few parameters is established. Experimental data from two materials are used to verify the predictive performance of the proposed model. Secondly, the modeling and simulation of the wind turbine gear is conducted to analyze the types of fatigue failures and obtain their fatigue life curves. Due to the randomness of the load on the gear, the rain flow counting method and the Goodman method are employed. Thirdly, considering the seasonal variation of load, the decreasing trend of gear fatigue strength under multistage random load is calculated. Finally, the dynamic failure rate and reliability of gear fatigue failure under multistage random loads are analyzed. The results demonstrate that the randomness of residual strength increases with increasing service time. The seasonality of load causes fluctuations in the reliability of gear, providing a new idea for evaluating the reliability of the wind turbine gear.

Keywords