| 疲劳裂纹的灰色残差预测 |
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| 引用本文： | 徐可君,江龙平,隋育松.疲劳裂纹的灰色残差预测[J].汽轮机技术,2002,44(5):319-320. |
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| 作者姓名： | 徐可君 江龙平 隋育松 |
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| 作者单位： | 海军航空工程学院青岛分院航空机械系,青岛,266041 |
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| 摘 要： | 借助灰色理论，建立了预测疲劳裂纹扩展的灰色残差预测模型，并应用此模型预测了某不锈钢构件腐蚀疲劳裂纹的扩展，得到了较高精度的预测结果，为疲劳裂纹预测提供了一种简易而可靠的新途径。
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| 关 键 词： | 疲劳裂纹 裂纹扩展 预测 灰色残差模型 金属材料 |
| 文章编号： | 1001-5884(2002)05-0319-02 |
| 修稿时间： | 2001年10月23 |
Gray Residual Difference Identification Prediction Method on Fatigue Crack Growth |
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| XU Ke jun,JIANG Long ping,SUI Yu song.Gray Residual Difference Identification Prediction Method on Fatigue Crack Growth[J].Turbine Technology,2002,44(5):319-320. |
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| Authors: | XU Ke jun JIANG Long ping SUI Yu song |
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| Abstract: | The processing of fatigue crack data is critical in the fatigue lifetime evaluation and fatigue prediction, because the data which seem to have no evident correlation, involve all the fatigue information. It is important to establish a mathematical model with these data better. In this paper, the gray theory residual difference identification prediction model is established with the fatigue data which obtained from the corrosion fatigue crack growth. The result shows that the gray residual difference identification prediction model has relative good predication accuracy and flexibility. |
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| Keywords: | fatigue crack growth prediction gray residual difference prediction model |
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