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首页> 外文期刊>International Journal of Fatigue >Modeling approach for a unified crack growth model in short and long fatigue crack regimes
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Modeling approach for a unified crack growth model in short and long fatigue crack regimes

机译:短期和长期疲劳裂纹状态下统一裂纹扩展模型的建模方法

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摘要

In this paper, the recently proposed UniGrow model modification is further improved and a modeling framework of the proposed model is developed to account for both the short and long crack growth behavior. The modeling approach incorporates the integration of short and long propagation into the UniGrow crack growth model to address the short and long crack growth in a unified manner. A systematic study is performed to further validate the proposed modeling approach and assess its prediction capabilities and shortcomings to predict crack growth behavior of short and long cracks. The proposed crack growth model is assessed by first comparing the predicted fatigue crack growth results with long crack growth data sets of 7010-T7, 2024-T3, 2324-T3, 7050-17 and 7075-T6 aluminum alloys at four different R ratios; The results are further assessed by comparison of short and long crack growth predictions to both short and long crack growth data sets of 2090-T8E41, LC9cs aluminum alloys and Ti-6Al-4V titanium alloys at two different R-ratios. The model showed good correlation with long crack data sets of 7010-T7, 2024-T3, 2324-T3, 7050-T7 and 7075-T6 and predicted crack growth results matched well with the nonlinearity of four material data sets at four different R-ratios. The results revealed that even though the proposed model was in good agreement with long crack data sets of 2090-T8E41, LC9cs aluminum alloys and Ti-6Al-4V titanium alloys at two different R-ratios, the model did not correlate well with the short crack data sets of these three materials and to accurately account for the variability of short crack growth.
机译:在本文中,对最近提出的UniGrow模型修改进行了进一步的改进,并为考虑短期和长期裂纹扩展行为而开发了该模型的建模框架。该建模方法将短时传播和长时传播整合到UniGrow裂纹扩展模型中,以统一方式解决短时和长时裂纹扩展问题。进行了系统的研究,以进一步验证所提出的建模方法,并评估其预测能力和不足之处,以预测短裂纹和长裂纹的裂纹扩展行为。首先通过比较预测的疲劳裂纹扩展结果与7010-T7、2024-T3、2324-T3、7050-17和7075-T6铝合金在四个不同的R比下的长裂纹扩展数据集来评估建议的裂纹扩展模型;通过将短裂纹和长裂纹增长预测与2090-T8E41,LC9cs铝合金和Ti-6Al-4V钛合金在两种不同的R比下的短裂纹和长裂纹增长数据集进行比较,可以进一步评估结果。该模型与7010-T7、2024-T3、2324-T3、7050-T7和7075-T6的长裂纹数据集显示出良好的相关性,并且预测的裂纹扩展结果与四个材料数据集在四个不同R-下的非线性度非常匹配比率。结果表明,尽管所提出的模型与2090-T8E41,LC9cs铝合金和Ti-6Al-4V钛合金在两个不同R比率下的长裂纹数据集非常吻合,但该模型与短裂纹并没有很好的相关性。这三种材料的裂纹数据集,以准确地说明短裂纹扩展的变化性。

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