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A New Probabilistic Approach for Describing Fatigue Crack Growth under Random Overloads

机译:描述随机过载下疲劳裂纹扩展的新概率方法

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摘要

A new probabilistic model describing the fatigue crack growth with retardation due to random overloads is developed. First, a crack growth equation is formulated based upon the Elber law, where a concept of retardation factor is introduced to quantify the retardation effect. Next, a new approach is discussed for describing the temporal variation of the retardation factor by the use of a system of differential equations. The validity of the obtained crack growth model is then shown by comparing with experimental results by McMaster et al. Next, the discussion is made on an extension of the proposed crack growth model to a probabilistic model, in which the overload process is mathematically modeled as a compound Poisson process to describe the random property associated with loading times as well as stress of overloads. The proposed probabilistic model takes a form of a system of random differential equations of Ito type driven by the compound Poisson process. Finally, numerical demonstration is carried out for generating crack growth samples based upon the proposed model.
机译:建立了一个新的概率模型,描述了由于随机过载而导致的具有延迟的疲劳裂纹扩展。首先,基于埃尔伯定律制定了裂纹扩展方程,其中引入了延迟因子的概念来量化延迟效果。接下来,讨论了一种新的方法,该方法用于通过使用微分方程组来描述延迟因子的时间变化。然后,通过与McMaster等人的实验结果进行比较,来证明所获得的裂纹扩展模型的有效性。接下来,讨论将提议的裂纹扩展模型扩展到概率模型的可能性,其中将过载过程数学建模为复合泊松过程,以描述与加载时间以及过载应力相关的随机特性。所提出的概率模型采用由复合Poisson过程驱动的Ito型随机微分方程组的形式。最后,基于所提出的模型进行了数值演示,以产生裂纹扩展样本。

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