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A probabilistic method for predicting the variability in fatigue beha vior 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 (#sigma# _(max) chemical bounds 120 MPa, R chemical bounds 0.01). The shortest observed fatigue life was 37,000 cycles and the shortest observed fatigue life was 37,000 cycles and the longest 650,000 cycles. A plastic 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 #mu# ~2-45 #mu# ~2) within the material were used as the distribution of initial flaw sizes. It was assumed that the crack formation life was a small percentage of the total life, and thus life predictions were based entirely on crack propagation. 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
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。实验程序的测试样本是7075-T6铝单边槽口拉伸样本,在恒定振幅载荷下测试(最大化学极限为120 MPa,R化学极限为0.01)。观察到的最短疲劳寿命为37,000个周期,观察到的最短疲劳寿命为37,000个周期,最长的650,000个周期。塑料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,疲劳裂纹是由材料夹杂物在缺口中心形成的。对于预测模型,材料中夹杂物尺寸(0.2#mu#〜2-45#mu#〜2)的分布用作初始缺陷尺寸的分布。假定裂纹形成寿命仅占总寿命的一小部分,因此寿命预测完全基于裂纹扩展。比较了来自实验工作和数值模型的疲劳寿命的累积分布,以评估该模型的有效性。实验性裂纹的形成寿命长达50-70年

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