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Size Effect of Microdamage Growth and Its Relation to Macro Fatigue Life

机译:微米瘤生长的尺寸效应及其与宏观疲劳寿命的关系

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In its initial evolution stage, fatigue damage consists of many microdamage sites, having random sizes and locations. The way in which these sites grow and coalesce has a crucial effect on the macro fatigue life. A statistical micromechanic fatigue model has been developed, in which the material is composed of microelements of random strength with a certain probabilistic dispersion parameter (β). In addition, the model takes into account local interactions between damaged microelements and their first neighbors by considering a failure sensitivity factor (c), which is the probability that the neighbor will survive the local (micro) stress concentration. It was shown analytically in previous studies that β is proportional to the S-N power intensity, and ln (1-c) is proportional to the macro endurance limit. In this study, the analysis is generalized to the case where the growth of each micro-damage is size dependent, i.e., each damage site grows at a rate which depends on its current size. The strength of this rate-size relation controls the order of the governing differential equation. It was found that certain "microdamage growth laws" still preserve the macro power law, so that the power on the S-N diagram can be directly related to the local microdamage evolution. While the analytical micro-macro relation is still under current study, a numerical simulation of fatigue damage evolution has been obtained and revealed that the macro S-N power law prevails in spite of the noticeable complexity.
机译:在其初始演化阶段,疲劳损坏由许多微米血管网站组成,具有随机尺寸和位置。这些网站生长和聚结的方式对宏观疲劳寿命具有重要影响。已经开发了一种统计微机械疲劳模型,其中材料由具有某种概率分散参数(β)的随机强度的微量元素组成。此外,该模型通过考虑失败敏感性因子(C)来考虑损坏的微单和第一邻居之间的局部相互作用,这是邻居将在本地(微观)应力集中的概率。在先前的研究中分析显示,β与S-N功率强度成比例,并且LN(1-C)与宏耐久性极限成比例。在该研究中,将分析推广到每个微损伤的生长尺寸的情况下,即,每个损伤部位以取决于其电流大小的速率增长。该速率尺寸关系的强度控制了控制微分方程的顺序。结果发现,某些“微达摩生长规律”仍然保持宏权力法,使S-N图的电源可以直接与当地的微岩进化相关。虽然分析微宏关系仍处于目前的研究,但已经获得了疲劳损伤演化的数值模拟,并揭示了宏S-N的缺点仍在占上明的复杂性。

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