Volume 26 Issue 5
May  2011
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Article Navigation >  Journal of Aerospace Power  > 2011  >  26(5): 1128-1134
LI Yu-yan, HUANG Xie-qing, LI Fu-lin. Prediction for constitutive relationship of metallic rubber based on BP neural net[J]. Journal of Aerospace Power, 2011, 26(5): 1128-1134.
Citation: LI Yu-yan, HUANG Xie-qing, LI Fu-lin. Prediction for constitutive relationship of metallic rubber based on BP neural net[J]. Journal of Aerospace Power, 2011, 26(5): 1128-1134.
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Prediction for constitutive relationship of metallic rubber based on BP neural net

  • 1.

    School of Mechatronic Engineering, Xi'an Technological University, Xi'an 71003

  • 2.

    School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China

  • Received Date: 2010-04-19
  • Rev Recd Date: 2010-06-28
  • Publish Date: 2011-05-28
    Abstract
  • Coefficients of constitutive relationship for metallic rubber were studied and trained by BP (back propagation) neural net.BP neural net was introduced elaborately,and how to predict coefficients of constitutive relationship by BP neural net was discussed.BP neural net parameters were chosen.Through parameter identification of static experimental data of metallic rubber,BP neural net models were obtained in two cases,including:various densities,various shape factors and densities;and further prediction for the nonlinear constitutive relationship was realized.The experiments prove that the theory agrees with the experiment,indicating that the method of predicting nonlinear constitutive relationship of metallic rubber is feasible.

     

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