基于形状因子优化的RAPID算法对CFRP通孔损伤的研究

Research on the Damage of CFRP Through-Holes Based on RAPID Algorithm Optimized by Shape Factor

在传统RAPID算法损伤成像中,形状因子β的设定通常是人为取值,其取值不同,成像的效果也不同,往往存在成像结果分散、分辨率较低的问题,因此提出了一种计算β值的新方法。通过ABAQUS有限元仿真,以CFRP层合板的通孔缺陷为检测对象,将形状因子优化后的RAPID算法与RAPID算法的损伤成像结果进行对比分析。结果表明,形状因子优化后的RAPID算法对缺陷定位结果的集中度更高,更能实现损伤位置的可视化。

In traditional RAPID algorithm-based damage imaging, the setting of the shape factorβ is often based on subjective judgments. Different values of β lead to different imaging effects, often resulting in scattered imaging results and low resolution. Therefore, a new method for calculating the β value is proposed. Through ABAQUS finite element simulation, the through-hole defects in CFRP laminates are used as the detection objects. The damage imaging results of the RAPID algorithm optimized with the shape factor are compared and analyzed with those of the traditional RAPID algorithm. The results indicate that the RAPID algorithm optimized with the shape factor exhibits a higher concentration of defect localization results, enabling better visualization of the damage location.