The Crack Growth Life Predictions for High Cycle Dynamic Components

Mu, Zhi Tao; Liu, Wen Lin; Jin, Peng

doi:10.4028/0-87849-413-8.963

Cited by 3 publications

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“…Fatigue crack growth (FCG) and fracture data are needed to manage fatigue lives with damage tolerance methods. Most engineers and technologists have studied FCG to achieve different purpose of research [1][2][3][4][5][6][7][8][9]. The plot of ) / log( dN da versus K ∆ log is a sigmoidal curve.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of Crack Growth Models and Crack Closure Effect

Liu

Yang

et al. 2011

AMR

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According to standard test method for fatigue crack growth rates of metallic materials, the crack growth rate of 30NCD16 at three stress ratio (R=0.1, 0.3 and 0.5) were measured. Based on linear elasticity fracture mechanics theory, the fatigue crack growth rate was studied through the nonlinear least squares fitting method. The Paris model parameters at steady growth region and near threshold growth region and NASGRO model parameters were obtained. The effective stress intensity factors versus curves at three stress ratios were determined by crack closure effect. The results show that the Paris equation can preferably describe relations at steady growth region. At this region the model parameter m lies 2.5-4. This result is consistent with the known statistical facts of most metallic materials. NASGRO equation can preferably describe relations from near threshold growth region to high values region. all the test data at three stress ratio was able to correlate and . Crack closure was the major factor in correlating stress ratio and crack growth rate, the degree of crack closure weaken with increasing stress ratio.

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Section: Introductionmentioning

confidence: 99%

“…model parameters of a set of sample can be determined by multianalysis linear regression method[5,6]. Based on the obtained model parameters, statistic distribution test was analyzed by K-S test method.…”

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confidence: 99%

Comparison of Crack Growth Models and Crack Closure Effect

Liu

Yang

et al. 2011

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Crack growth and the correlation of model coefficient for typical aircraft metal material

Liu

2016

2016 IEEE International Conference on Mechatronics and Automation

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Crack Growth Life Prediction Based on Monte-Carlo Method for High Cycle Fatigue Dynamic Component

Liu

2013

AMR

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The sensibility analysis of the factors to crack growth life has been done. The results show that the input parameters have the following precedence ordering: fatigue crack growth threshold, fracture spectrum, initial crack, fracture toughness, the sensibility values are 11.25, 8.5417, 0.8333, 0.1125, respectively. The model parameters have the following precedence ordering: n, p, C, q. the sensibility values are 6.0417, -3.9583, 1.25, 0.1812, respectively. The reliability analysis was conducted by Monte-Carlo method, the results show that the crack growth life accord with lognormal distribution. The lives with different reliability were obtained. The reliability analysis results of the crack growth life has provided the data for a hybrid approach based on a mixture of the traditional safe-life and damage tolerance techniques which were used as an optimal strategy for ensuring the helicopter structural integrity.

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The Crack Growth Life Predictions for High Cycle Dynamic Components

Cited by 3 publications

References 0 publications

Comparison of Crack Growth Models and Crack Closure Effect

Comparison of Crack Growth Models and Crack Closure Effect

Crack growth and the correlation of model coefficient for typical aircraft metal material

Crack Growth Life Prediction Based on Monte-Carlo Method for High Cycle Fatigue Dynamic Component

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