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A probabilistic method for predicting the variability in fatigue behavior of 7075-T6 aluminum

机译:预测7075-T6铝疲劳行为变异性的概率方法

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This paper assesses the applicability of a probabilistic model to estimating fatigue life variability for 7075-T6 aluminum. ^The test specimens for the experimental program were 7075-T6 aluminum single edge notch tension specimens tested under constant amplitude loading. ^The shortest observed fatigue life was 37,000 cycles and the longest 650,000 cycles. ^A plastic replication procedure was used to identify crack nucleation sites and monitor crack growth. ^The initiation sites were identified by examining the plastic replicas and the fracture surfaces of the failed specimens. ^In agreement with previous studies, the fatigue cracks formed in the center of the notch from material inclusions. ^For the prediction model, the distribution of inclusion sizes (0.2-45 sq microns) within the material were used as the distribution of initial flaw sizes. ^The cumulative distributions for the fatigue lives from the experimental work and the numerical model were compared to assess the effectiveness of the model. ^While experimental crack formation lives as long as 50-70 percent of the total life were observed in some of the tests, the model predicted failures well in the shorter life regime. ^(Author)
机译:本文评估了概率模型在估算7075-T6铝的疲劳寿命变异性方面的适用性。 ^用于实验程序的测试样本是在恒定振幅载荷下测试的7075-T6铝单边槽口拉伸样本。 ^观察到的最短疲劳寿命为37,000个循环,最长为650,000个循环。 ^使用塑料复制程序来识别裂纹成核位置并监测裂纹的生长。 ^通过检查塑料复制品和失效样本的断裂表面来确定起始位置。 ^与先前的研究一致,疲劳裂纹在切口中心由材料夹杂物形成。 ^对于预测模型,材料中夹杂物尺寸(0.2-45平方微米)的分布用作初始缺陷尺寸的分布。 ^比较了实验工作和数值模型的疲劳寿命累积分布,以评估该模型的有效性。 ^尽管在某些测试中观察到的实验裂纹形成寿命长达总寿命的50-70%,但该模型在较短的寿命范围内很好地预测了失效。 ^(作者)

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