Abstract This paper presents the application of survival analysis techniques, widely used in medical research, to the development of nonlinear probabilistic S-N curves for fatigue including the effects of other covariates. The number of cycles to failure is treated as a fictitious “time-to-event” parameter. Parametric survival analyses were performed using fatigue test data for steel bridges. The loglogistic accelerated failure time survival model was determined to be best suited for steel bridges. Results indicate that the current linear S-N curves for bridges do not provide a consistent probability of failure. Survival analysis can be a powerful tool for probabilistic fatigue analyses.

中文翻译：

---

使用生存分析技术开发非线性概率 SN 曲线并应用于钢桥

摘要 本文介绍了在医学研究中广泛使用的生存分析技术在疲劳的非线性概率 SN 曲线的开发中的应用，包括其他协变量的影响。失效周期数被视为一个虚构的“事件发生时间”参数。使用钢桥的疲劳试验数据进行参数生存分析。对数逻辑加速失效时间生存模型被确定为最适合钢桥。结果表明，当前桥梁的线性 SN 曲线不能提供一致的故障概率。生存分析可以成为概率疲劳分析的强大工具。