Research on compressive residual strength of composites after impact based on random forests algorithm

doi:10.19936/j.cnki.2096-8000.20231228.008

Abstract

Abstract: The aircraft composite structure will inevitably be damaged by the impact of foreign objects in service, which will reduce the bearing capacity of the structure to a certain extent, and will also affect the flight safety of the aircraft. Compared with tensile properties, composites are more sensitive to compressive loadings, so it is of great significance to study the compressive properties of the composites after impact. In this paper, the compression residual strength test of composites after impact is studied, and the test data are analyzed by engineering method and artificial intelligence modeling. The results of this paper show that the predicted precision for the post impact compressive residual strength of the composite materials based on artificial intelligence analysis established in this paper is significantly improved compared with the existing engineering methods.

Key words: composite structure, impact damage, artificial intelligence analysis, compression after impact

CLC Number:

TB332

HUANG Yubing, LI Chen, LI Shuo. Research on compressive residual strength of composites after impact based on random forests algorithm[J]. COMPOSITES SCIENCE AND ENGINEERING, 2023, 0(12): 55-62.

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