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Strength-Probability-Time Diagrams using Power Law and Exponential Kinetics Models for Fatigue

机译:利用电力法和指数动力学模型进行疲劳的强度概率时间图

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Strength-Probability-Time (SPT) diagrams provide an intuitively pleasing method for presenting reliability data based on extrapolations from accelerated fatigue testing data. If power-law crack growth kinetics are assumed the calculations required to generate the SPT diagram are particularly simple. However, if exponential or other more complex forms are used, this is not the case. If the accelerated data are for dynamic fatigue measurements (strength as a function of stressing rate) the SPT diagram can only be determined after numerical integration of the crack growth equations, followed by non-linear regression to the fatigue data. However, we have developed software to perform this task. In this paper we describe the methods used and show sample results of lifetime predictions using SPT diagrams. Also, the effect of using different crack growth kinetics models on predicted lifetimes is discussed.
机译:强度概率 - 时间(SPT)图提供了一种直观令人愉悦的方法,用于基于来自加速疲劳测试数据的外推提供可靠性数据的直观令人愉悦的方法。如果假设电力法裂纹生长动力学,则旨在产生SPT图所需的计算尤为简单。但是,如果使用指数或其他更复杂的形式,则情况并非如此。如果加速数据用于动态疲劳测量(强度作为应力速率的函数),则只能在裂纹生长方程的数值积分之后确定SPT图,然后是对疲劳数据的非线性回归。但是,我们开发了软件来执行此任务。在本文中,我们描述了使用SPT图表使用的方法和显示寿命预测的样本结果。而且,讨论了使用不同裂缝生长动力学模型对预测寿命的影响。

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