基于加权随机森林算法的复合材料冲击后压缩剩余强度预测研究

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

飞机复合材料结构在服役中难免会因外物冲击而造成损伤,从而在一定程度上降低结构的承载能力,更会对飞机的飞行安全造成影响。相对于拉伸性能,复合材料对压缩性能更为敏感,因此对复合材料冲击后压缩性能进行研究意义重大。本文对复合材料冲击后压缩剩余强度试验数据进行工程方法分析,与随机森林预测结果进行了对比研究,结果表明,与现有工程方法相比,本文建立的基于加权随机森林算法对复合材料冲击后压缩剩余强度的预测精度有显著提升。

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.