首页|μCT图像中优化提取水泥基材料碳化裂缝的方法研究

μCT图像中优化提取水泥基材料碳化裂缝的方法研究

Study on the method of optimizing the extraction of carbonation cracks of cementitious materials in μCT images

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混凝土在自然界中可能受到碳化侵蚀,碳化后混凝土体积收缩,甚至产生裂缝,严重影响混凝土的耐久性.采用微米X射线计算机断层扫描技术(μm Computed Tomography,μCT),无损检测水泥基材料内部特征.从水泥基材料受到碳化侵蚀导致内部产生裂缝着手,提取水泥基材料碳化裂缝,从而量化表征水泥基材料在碳化侵蚀过程中的裂缝发展.传统的阈值分割技术适用于提取粗裂缝,对微细裂缝提取效果不佳,且无法避免孔隙及未碳化区的干扰.因此,将眼球血管分割技术(B-COSFIRE)引入μCT图片中尝试进行裂缝分割提取.结果表明:眼球血管分割技术的引入,能够准确识别粗细裂缝并提取而不受孔隙及未碳化区的干扰.该方法的引进使得裂缝提取的效率显著提升.
Concrete may be eroded by carbonization in nature.After carbonization,the volume of concrete shrinkage,and even produce cracks,seriously affecting the durability of concrete.Micron X-ray computed tomography(μm Computed Tomography,μCT)is used to non-destructively detect the internal characteristics of cement-based materials.Starting from the internal cracks caused by carbonation erosion of cement-based materials,the carbonation cracks of cement-based materials are extracted to quantify the crack development of cement-based materials in the process of carbonation erosion.The traditional threshold segmentation technology is suitable for extracting coarse cracks,but it is not effective for extracting fine cracks,and the interference of pores and uncarbonized areas cannot be avoided.Therefore,in this study,the ocular vessel segmentation technology(B-COSFIRE)was introduced into μCT images to try to segment and extract cracks.The results show that the introduction of eyeball blood vessel segmentation technology can accurately identify coarse and fine cracks and extract them without interference from pores and uncarbonated areas.The introduction of this method makes the efficiency of crack extraction significantly improved.

μCTcarbonation crackingB-COSFIRE

刘文鹏、任志丽、凌立、肖浩轩、孙红芳

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深圳大学土木与交通工程学院广东省滨海土木工程耐久性重点实验室,广东 深圳 518060

谢菲尔德大学,英国谢菲尔德市S10 2TN

μCT 碳化开裂 眼球血管分割技术

2024

混凝土
中国建筑东北设计研究院有限公司

混凝土

CSTPCD北大核心
影响因子:0.844
ISSN:1002-3550
年,卷(期):2024.(12)