机电工程技术2024，Vol.53Issue(2)：13-19,7.DOI:10.3969/j.issn.1009-9492.2024.02.003
基于DBO-ELM模型的隔振橡胶疲劳寿命预测
Fatigue Life Prediction for Vibration Isolation Rubber Components Based on DBO-ELM Model
摘要
Abstract
The vibration isolation rubber components of vehicle is excited by the alternate load.It is essential to establish the model for predicting the fatigue life under the different strain ratios.A prediction method for fatigue life is proposed based on dung beetle optimization(DBO)algorithm and extreme learning machine(ELM)model,considering the effect of strain ratios.With the uniaxially loaded fatigue test for rubber specimens,the fatigue life is obtained under different strain ratios;taking the stress amplitude,strain mean and strain ratio as the input variables,and the rubber fatigue life as the output variable,the DBO algorithm is used to optimize the input layer weights and implied layer bias in the ELM model to establish the DBO-ELM model for predicting the fatigue life of rubber samples.The accuracy of the proposed DBO-ELM model,machine learning model and power function model is compared.The results show that the prediction results under the DBO-ELM model have better consistency with experimental results;by using the DBO-ELM model,the prediction accuracy of rubber fatigue life can be significantly improved,which verify the effectiveness of the model for predicting rubber fatigue life.关键词
隔振橡胶/应变比/疲劳寿命预测/极限学习机/蜣螂算法Key words
isolation rubber/strain ratio/fatigue life prediction/extreme learning machine/dung beetle optimization分类
交通工程引用本文复制引用
秦武,李春归,潘兵兵,李骏,胡建泰,葛平政,刘霏霏..基于DBO-ELM模型的隔振橡胶疲劳寿命预测[J].机电工程技术,2024,53(2):13-19,7.基金项目
国家自然科学基金资助项目(51806066) （51806066）
博士后科学基金项目(2022M711352) （2022M711352）
江西省科技厅项目(20232BAB214047) （20232BAB214047）
江西省交通运输厅科技项目(2023H0040) （2023H0040）
江西省教育厅科技项目(GJJ210630 （）
GJJ2205201) （）
江西交通职业技术学院课题(2022JG04) （2022JG04）
