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OA北大核心CSTPCD

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.