Volume 40 Issue 7
Jul.  2025
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MA Penghui, HU Dianyin, LIU Xi, et al. Data-driven approach for efficient multiscale damage analysis of fiber reinforced composites[J]. Journal of Aerospace Power, 2025, 40(7):20230051 doi: 10.13224/j.cnki.jasp.20230051
Citation: MA Penghui, HU Dianyin, LIU Xi, et al. Data-driven approach for efficient multiscale damage analysis of fiber reinforced composites[J]. Journal of Aerospace Power, 2025, 40(7):20230051 doi: 10.13224/j.cnki.jasp.20230051

Data-driven approach for efficient multiscale damage analysis of fiber reinforced composites

doi: 10.13224/j.cnki.jasp.20230051
  • Received Date: 2023-02-05
    Available Online: 2025-04-11
  • In order to realize damage analysis of the fiber reinforced composites, an efficient multiscale damage analysis method was developed. Firstly, based on the generalized method of cells, a multiscale damage analysis framework was constructed for laminate and plain weave composites, and the damage processes at the mesoscale and microscale under uniaxial tension were analyzed. The results showed that the complex weave structure of plain weave composites led to a more complex mesoscale and microscale damage evolution process, which was significantly different from the damage process of laminates. Based on this, neural networks were introduced, and a data-driven multiscale damage analysis strategy was proposed to realize the efficient damage simulation of plain weave composites. Compared with the experimental and simulant results, the error of predicting tensile strength by the efficient multiscale damage analysis method was less than 7%; and compared with traditional multiscale damage analysis method, the efficiency of macroscale calculations can be improved by about 12.47 times.

     

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