压力容器2024，Vol.41Issue(5)：12-20,9.DOI:10.3969/j.issn.1001-4837.2024.05.002
基于K均值算法-TOF聚类分析的复合材料板冲击损伤层析研究
Clustering analysis of time of flight(TOF)for tomographic evaluation of impact damage in composites based on K-means algorithm
摘要
Abstract
Impact damage in carbon fiber reinforced polymer(CFRP)poses a significant threat to the structural safety of pressure vessels.It is crucial to conduct a detailed analysis of impact damage in CFRP for the quantitative analysis of damage in CFRP composite materials.A clustering analysis based on the K-means algorithm was proposed for time of flight(TOF)images obtained from ultrasonic C-scans.The TOF values were used in conjunction with the K-means algorithm to determine the layers associated with different clusters,enabling a layer-by-layer quantitative analysis of impact damage in CFRP.The proposed method was validated by applying it to TOF images of impact damage.Furthermore,to realize layer-by-layer analysis of impact damage in CFRP laminates with different total layers,numerous experimental data obtained by immersion ultrasonic C-scan experiments were analyzed.It demonstrates that setting the number of clusters K in K-means algorithms to 1.25 times the total layers can satisfy the layer-by-layer analysis of the damage.The TOF cluster analysis method can directly quantify the impact damage of each layup of CFRP laminates,which has important significance in engineering applications.关键词
碳纤维增强型复合材料(CFRP)/冲击损伤/K均值算法/TOF聚类分析Key words
carbon fibre reinforced polymer(CFRP)/impact damage/K-means algorithm/cluster analysis of TOF分类
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林君,杨乐辉,赵金玲,李念,裘进浩,赵建平,常乐..基于K均值算法-TOF聚类分析的复合材料板冲击损伤层析研究[J].压力容器,2024,41(5):12-20,9.基金项目
国家重点研发计划项目(2022YFC3004503) （2022YFC3004503）
国家重点攻关项目(2023ZY01001) （2023ZY01001）
江苏省研究生科研与实践创新计划项目(SJCX23_0474) （SJCX23_0474）
