上海航天（中英文）2025，Vol.42Issue(1)：119-125,7.DOI:10.19328/j.cnki.2096-8655.2025.01.012
基于高斯聚类的航天复合材料多损伤自识别方法
Multi Damage Self Identification Method for Aerospace Composite Materials Based on Gaussian Clustering
摘要
Abstract
With the development and initial use of reusable spacecraft,online monitoring the structural responses,understanding the structural health status in real time,and effectively identifying the structural damage state have become important ways for reusable spacecraft to ensure its economy efficiency.In this paper,a multi-damage self-identification method is proposed for the online assessment of composite structural damages in reusable spacecraft.The method first achieves the high-precision imaging of multiple damages in composite structures based on guided waves.Then,a probabilistic mixture model is used to cluster the damaged pixels,where the pixel values with high damage probability in the monitoring area are matched with the Gaussian model components.This allows the damage status of the structure to be automatically evaluated based on the number,mean value,and covariance of the Gaussian model components.Finally,experiments are carried out to verify the proposed method.The results show that the method can effectively identify the number,locations,and directions of the damages.关键词
可重复使用航天器/复合材料/导波/损伤成像/概率混合模型Key words
reusable spacecraft/composites/guided waves/damage imaging/probabilistic mixture model分类
航空航天引用本文复制引用
陶静雅,于亚平,刘博,潘浚铭,宋冠霖,王照洋,钱剑..基于高斯聚类的航天复合材料多损伤自识别方法[J].上海航天（中英文）,2025,42(1):119-125,7.基金项目
国家自然科学基金资助项目(12472348) （12472348）
