Fatigue-life prediction of hydraulic support's front connecting rod based on finite-element analysis and RBF neural network
Since it is necessary to predict the fatigue life of the hydraulic support's front connecting rod in engineering appli-cation,in this article,a method of fatigue-life prediction is proposed based on the RBF neural network.Five key design parame-ters are selected as input variables;with the front connecting rod's fatigue life as the objective function,the model of fatigue-life prediction is set up.Firstly,the finite-element analysis is used to work out the front connecting rod's fatigue life.Then,the training sample points are obtained by means of optimized Latin sampling,and the model of predicting the front connecting rod's fatigue life is set up based on the RBF neural network.The model's prediction accuracy is improved by optimizing the RBF neu-ral network's goal and spread values.The results show that the results obtained from the optimized model of predicting the front connecting rod's fatigue life has high fitting accuracy with the training sample points,with the relative error of 6.72％on aver-age,which meets the related requirements of engineering application.Properly increasing the number of training sample points is beneficial to further improve the accuracy in fatigue-life prediction.
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