聚结(物理)
材料科学
成核
振幅
常量(计算机编程)
随机建模
奥氏体不锈钢
奥氏体
机械
结构工程
冶金
微观结构
热力学
数学
工程类
计算机科学
物理
统计
腐蚀
天体生物学
量子力学
程序设计语言
作者
Réda Yahiaoui,Rachid Noureddine,B. Saadi
标识
DOI:10.24874/jsscm.2020.14.01.03
摘要
Predicting crack initiation life (CIL) of a mechanical component or a structure in service remains difficult since the crack formation process is of stochastic nature. To ensure a high level of safety and reliability, it is essential to have an appropriate probability distribution law of the CIL to ensure that cracks can be detected before reaching a critical length. In the present study, a stochastic model is used to predict the number of cycles corresponding to the formation of a crack 500 μm long resulted from the nucleation, growth, and coalescence of multiple microcracks. The model is applied in the case of a 316L austenitic stainless steel for different plastic strain ranges.
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