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Strain–life curves of steels and methods for determining the curve parameters. Part 2. Methods based on the use of artificial neural networks

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Strength of Materials Aims and scope

The authors look into the possibility of using artificial neural networks for predicting the deformation characteristics of steels (the parameters of the Basquin–Manson–Coffin strain–life curve equation) based on static strength and plasticity characteristics, by constructing four independent neural networks with different configurations of input and output data. The prediction of parameters of the Basquin–Manson–Coffin equation and the fatigue life calculations by means of artificial neural networks are demonstrated to provide a better accuracy in comparison to the available conventional methods.

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Authors and Affiliations

  1. Pisarenko Institute of Problems of Strength, National Academy of Sciences of Ukraine, Kiev, Ukraine

    V. T. Troshchenko, L. A. Khamaza & Yu. N. Babich

  2. National Aviation University, Kiev, Ukraine

    V. A. Apostolyuk

Authors
  1. V. T. Troshchenko
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  2. L. A. Khamaza
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  3. V. A. Apostolyuk
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  4. Yu. N. Babich
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Translated from Problemy Prochnosti, No. 1, pp. 5 – 26, January – February, 2011.

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Troshchenko, V.T., Khamaza, L.A., Apostolyuk, V.A. et al. Strain–life curves of steels and methods for determining the curve parameters. Part 2. Methods based on the use of artificial neural networks. Strength Mater 43, 1–14 (2011). https://doi.org/10.1007/s11223-011-9262-4

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  • DOI: https://doi.org/10.1007/s11223-011-9262-4

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