基于参数融合模型的多温度环境下橡胶材料疲劳寿命预测方法

doi:10.3901/JME.260747

摘要/Abstract

摘要： 传统基于裂纹萌生法建立的物理模型在预测多温度环境下橡胶材料疲劳寿命时存在局限性，数据驱动模型受限于小样本问题，导致预测精度难以满足工程需求。针对此不足，通过融合物理模型的理论优势与数据驱动模型的高效性，提出基于参数融合模型的多温度环境下橡胶材料疲劳寿命预测方法，以实现对不同温度环境下橡胶材料疲劳寿命的准确预测。以环境温度、工程应变峰值为输入变量，以物理模型预测疲劳寿命为输出变量，构建BP神经网络模型；利用实测疲劳寿命优化BP神经网络模型的隐含层与输出层之间的权值，得到参数融合模型；采用参数融合模型预测橡胶材料疲劳寿命。基于多环境温度下橡胶材料疲劳试验数据，对比分析了物理模型、BP神经网络模型及参数融合模型的预测精度。研究发现，参数融合模型预测寿命均分布于实测寿命的1.5倍分散性内。研究结果表明：所建立的参数融合模型克服了现有模型在多环境温度下橡胶材料疲劳寿命预测方面的局限性，展现出优良的预测精度，为橡胶材料的疲劳寿命评估提供了有效的手段。

关键词: 环境温度, 橡胶材料, 疲劳寿命, 预测模型, 疲劳试验

Abstract: Traditional physical models based on crack initiation are limited in predicting rubber fatigue life across multiple temperatures. Data-driven models suffer from small sample sizes, resulting in insufficient prediction accuracy for engineering needs. To solve these problems, ta multi-temperature fatigue life prediction method for rubber materials using a parameter fusion model is proposed. It combines the theoretical benefits of physical models with the efficiency of data-driven models for accurate prediction in different temperature environments. A BP neural network model is built with ambient temperature and engineering strain peak as input variables and physical model predicted fatigue life as the output. The weights between the hidden and output layers of the BP neural network are optimized using actual fatigue life data to create the parameter fusion model. This model is used to predict the fatigue life of rubber materials. Based on fatigue test data for rubber materials under multiple environmental temperatures, the prediction accuracy of the physical model, BP neural network model, and parameter fusion model are compared. It is found that under the multi-environment-temperature conditions, the predicted life from the parameter fusion model is within 1.5 times the dispersion of the actual life. The results show that the parameter fusion model overcomes the limitations of existing models in predicting rubber fatigue life under multiple environmental temperatures. It offers excellent prediction accuracy and an effective method for evaluating the fatigue life of rubber materials.

Key words: ambient temperature, rubber materials, fatigue life, prediction model, fatigue test

中图分类号:

TQ333

刘湘楠, 杨宇鑫, 蔡元哲, 何宽芳. 基于参数融合模型的多温度环境下橡胶材料疲劳寿命预测方法[J]. 机械工程学报, 2026, 62(14): 129-137.

LIU Xiangnan, YANG Yuxin, CAI Yuanzhe, HE Kuanfang. Multi-temperature Fatigue Life Prediction Method for Rubber Materials Based on a Parameter Fusion Model[J]. Journal of Mechanical Engineering, 2026, 62(14): 129-137.

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http://www.cjmenet.com.cn/CN/Y2026/V62/I14/129

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