This paper proposes a low‐cost method for predicting probabilistic high‐cycle fatigue life for Al 2024‐T3 based on continuum damage mechanics and non‐intrusive polynomial chaos (NIPC). To randomize Lemaitre's two scale fatigue damage model, parameters S and s are regarded as random variables. Based on small sample of test life, inverse analysis is performed to obtain samples of the two parameters. Statistic characteristics of the two parameters are calculated analytically through coefficients of NIPC. Fatigue test of aluminum alloy 2024‐T3 standard coupon and plate with hole under different spectrum loading shows that the proposed method is effective.

中文翻译：

---

使用非侵入式多项式混沌的基于损伤力学的Al 2024-T3概率高周疲劳寿命预测

本文提出了一种基于连续损伤机制和非侵入式多项式混沌（NIPC）的Al 2024-T3概率性高周疲劳寿命预测方法。为了使Lemaitre的两级疲劳损伤模型随机化，将参数S和s视为随机变量。基于测试寿命的少量样本，进行反分析以获得两个参数的样本。这两个参数的统计特性通过NIPC系数进行解析计算。铝合金2024-T3标准试样和带孔板在不同光谱载荷下的疲劳试验表明，该方法是有效的。