摘要
短裂纹活动引起的密度场图像演化分析是应用工业CT研究疲劳损伤中的热点。在仿真环境下,应用亚体素模型和局部离散化完成了短裂纹群建模,实现了非均匀密度场的建模。通过高、低两种不同分辨率CT分别观看细节特征和宏观行为,初步开展了短裂纹活动效应的2维、3维信号分析。引入了图像隶属度,提出了针对裂纹细节变化的模糊增强算法,增强了密度场演化的3维分析信号,有助于监测短裂纹群活动效应。
Image evolutionary analysis of density field induced by propagation of short cracks is a most discussed topic in the research of the damage caused by fatigue using ICT(industrlal computed tomography). During simulation, short cracks are modeled by using a subvoxel model and local discretization, and modeling of uneven density field is fulfilled. Detailed characteristics can be detected by high resolution CT(computed tomography). Macro behaviors can be detected by low resolution CT. Two dimensional and three dimensional signal analysis of activity effect of short cracks are conducted. Membership degrees are introduced, and enhancement algorithm is proposed based on fuzzy sets. Three dimensional signals detected are enhanced in this way, which will help to monitor the activity effect of short cracks.
出处
《中国图象图形学报》
CSCD
北大核心
2007年第9期1642-1646,共5页
Journal of Image and Graphics
基金
国家自然科学基金项目(50375126)
关键词
亚体素模型
密度场
减影图像
隶属度
subvoxel model, density field, subtraction image, membership degree