收稿日期: 2018-01-24
网络出版日期: 2019-12-31
基金资助
国家自然科学基金资助项目(50975133)
Neural network for fatigue life of wind turbine blade numerical calculation of approximate model
Received date: 2018-01-24
Online published: 2019-12-31
王雷, 陆金桂, 李乐为 . 叶片疲劳寿命神经网络近似计算模型数值实验[J]. 上海大学学报(自然科学版), 2019 , 25(6) : 870 -878 . DOI: 10.12066/j.issn.1007-2861.2016
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.
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