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Reliability analysis of the solidification cooling of solid rocket motor grain material

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  • Juan Du
  • Yangtian Li
  • Yun He

Abstract

The reliability of solid rocket motor grain structure during solidification cooling is analyzed. First, a three-dimensional parametric modeling of the grain is carried out by ANSYS finite element software. The dangerous point and dangerous moment can be obtained based on the transient and dynamic thermo-structure coupling under the cooling condition. Moreover, the maximum equivalent strain and temperature values are extracted. Second, a dual neural network model is established based on the probability distribution of the copula function and specific parameters. Finally, the instantaneous reliability during the solidification cooling process of the grain is calculated. Then, the dynamic reliability analysis is realized. The proposed method reduces the computational cost of dynamic reliability of grain structure, demonstrating its applicability in practical engineering problems. Furthermore, comparing the results of the proposed method with the MCS method demonstrates that the proposed method has high computational accuracy.

Suggested Citation

  • Juan Du & Yangtian Li & Yun He, 2024. "Reliability analysis of the solidification cooling of solid rocket motor grain material," PLOS ONE, Public Library of Science, vol. 19(8), pages 1-13, August.
    • Handle: RePEc:plo:pone00:0306208
    DOI: 10.1371/journal.pone.0306208
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    References listed on IDEAS

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    1. Juan Du & Haibin Li & Yun He, 2017. "The Method of Solving Structural Reliability with Multiparameter Correlation Problem," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-12, December.
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