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Stratified model for estimating fatigue crack growth rate of metallic materials

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Abstract

The curve of relationship between fatigue crack growth rate and the stress strength factor amplitude represented an important fatigue property in designing of damage tolerance limits and predicting life of metallic component parts. In order to have a more reasonable use of testing data, samples from population were stratified suggested by the stratified random sample model (SRAM). The data in each stratum corresponded to the same experiment conditions. A suitable weight was assigned to each stratified sample according to the actual working states of the pressure vessel, so that the estimation of fatigue crack growth rate equation was more accurate for practice. An empirical study shows that the SRAM estimation by using fatigue crack growth rate data from different stoves is obviously better than the estimation from simple random sample model.

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References

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Author information

Authors and Affiliations

  1. Faculty of Science, Beijing University of Chemical Technology, 100029, Beijing, P. R. China

    Yang Yong-yu (Associate Professor)

  2. College of Mechanical and Engineering, Beijing University of Chemical Technology, 100029, Beijing, P. R. China

    Liu Xin-wei

  3. School of Statistics, University of Minnesota, 55455, MN, USA

    Yang Fan

Authors
  1. Yang Yong-yu
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  2. Liu Xin-wei
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  3. Yang Fan
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Corresponding author

Correspondence to Yang Yong-yu.

Additional information

Communicated by Wang Yin-bang

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Yong-yu, Y., Xin-wei, L. & Fan, Y. Stratified model for estimating fatigue crack growth rate of metallic materials. Appl Math Mech 26, 515–521 (2005). https://doi.org/10.1007/BF02465391

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  • DOI: https://doi.org/10.1007/BF02465391

Key words

Chinese Library Classification

2000 Mathematics Subject Classification

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