In the present study, the residual fatigue life (RFL) of natural rubber (NR) components under variable amplitude loads is predicted. To this end, a support vector machine (SVM) model is established to estimate the fatigue life of NR specimens under a constant amplitude load. Here, the strain amplitude and strain mean of NR specimens are used as input variables while the rubber fatigue life is considered as the output variable of the SVM model. It is found the regression results and predicted life distribution of the SVM model are promising. Then the load sequence and load interaction are considered in the calculations and a nonlinear fatigue cumulative damage (NFCD) model is developed. Finally, the RFL of rubber specimens under variable amplitude load is predicted using the Miner criterion and the NFCD model. The performed experiments demonstrate that the prediction accuracy of the NFCD model is higher than that of the Miner criterion.

在本研究中，预测了变幅载荷下天然橡胶 (NR) 部件的剩余疲劳寿命 (RFL)。为此，建立了支持向量机（SVM）模型来估计NR试件在恒幅载荷下的疲劳寿命。在这里，NR 试样的应变幅值和应变平均值作为输入变量，而橡胶疲劳寿命作为 SVM 模型的输出变量。发现SVM模型的回归结果和预测寿命分布是有希望的。然后在计算中考虑载荷顺序和载荷相互作用，并建立非线性疲劳累积损伤（NFCD）模型。最后，使用Miner准则和NFCD模型预测了变幅载荷下橡胶试样的RFL。