摘要
混凝土桥梁是现代交通基础设施的重要组成部分,然而桥梁在使用过程中往往会出现微裂纹问题,给桥梁的安全性带来潜在风险。为了解决这一问题,本文对基于数字图像技术的公路桥梁混凝土微裂纹检测实验进行了研究,通过裂纹边缘识别流程,包括图像增强、去噪、分割和边缘检测等技术,成功实现了桥梁裂纹的准确识别。同时,针对不同裂纹类型,进行了裂纹宽度分析,并运用面积法结合裂纹长度计算裂纹宽度及裂纹尖端增长变化。实验结果表明:与其他方法相比,用面积法计算裂纹宽度的相对误差较小,裂纹的宽度随着载荷的增大而增大,裂纹扩展速度逐渐变慢;在荷载作用下,裂纹范围变化很大,裂纹长度和宽度都变化明显;裂纹扩展速度随加载时间的增加而变慢。未来将考虑远程的图像数据传输作为主要的研究内容,以实现裂纹动态变化检测的实时采集、处理、分析和传输。
Concrete bridges are an important part of modern transportation infrastructure,but microcracks often occur during the use of bridges,which pose potential risks to the safety of bridges.In order to solve this problem,this paper studied the concrete microcrack detection experiment of highway bridges based on digital image technology,and successfully realized the accurate identification of bridge cracks through the crack edge recognition process,including image enhancement,denoising,segmentation and edge detection.At the same time,the crack width analysis was carried out for different crack types,and the area method was used to calculate the crack width and crack tip growth change based on the crack length.The experimental results show that compared with other methods,the relative error of calculating the crack width by the area method is small,the crack width increases with the increase of load,and the crack propagation rate gradually slows down.Under the load,the crack range changes greatly,and the crack length and width change significantly.The crack propagation rate slows down with increasing loading time.In the future,remote image data transmission will be considered as the main research content to realize real-time acquisition,processing,analysis and transmission of crack dynamic change detection.
作者
王纯玉
WANG Chunyu(China Railway 19th Bureau Group Co.Ltd.,Beijing 100176,China)
出处
《铁道建筑技术》
2023年第7期145-149,共5页
Railway Construction Technology
基金
中铁十九局集团有限公司科研项目(19-A01)。
关键词
数字图像技术
微裂纹检测
图像分割算法
混凝土
digital image technology
microcrack detection
image segmentation algorithm
concrete
