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Journal of Shanghai University >

2019 , Vol. 25 >Issue 6: 870 - 878

DOI: https://doi.org/10.12066/j.issn.1007-2861.2016

Research Articles

Neural network for fatigue life of wind turbine blade numerical calculation of approximate model

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  • 1. College of Mechanical and Power Engineering, Nanjing Tech University, Nanjing 211800, China
    2. NARI Group Corporation, Nanjing 210061, China

Received date: 2018-01-24

  Online published: 2019-12-31

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Abstract

By means of structural approximate analysis based on neural network, approximate calculation model of neural network for fatigue life of wind turbine blade is established. And, the numerical experiments of different parameters for constructing the model of neural network for fatigue life approximation computation of wind turbine are made. The results show the influence of the number of learning samples, the number of hidden layers elements of the neural network, and the learning accuracy on the approximate calculation results of the fatigue life of wind turbine blades. It is helpful for improving the accuracy in calculating the fatigue life value of wind turbine blade based on the approximate model of the wind turbine blade fatigue life neural network. The approximate calculation method of wind turbine blade fatigue life based on neural network provides a new calculation method for calculating the fatigue life performance of wind turbine blades.

Key words： blade fatigue life; structural approximation analysis; neural network model

Cite this article

Lei WANG, Jingui LU, Lewei LI . Neural network for fatigue life of wind turbine blade numerical calculation of approximate model[J]. Journal of Shanghai University, 2019 , 25(6) : 870 -878 . DOI: 10.12066/j.issn.1007-2861.2016

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