混凝土结合面粗糙度检测技术研究进展  

Research progress on roughness detection technology for concrete interfaces

作　　者：王植彦 张渤钰 余少乐 赵勇[1] WANG Zhiyan;ZHANG Boyu;YU Shaole;ZHAO Yong(College of Civil Engineering,Tongji University,Shanghai 200092,China;China Academy of Building Research,Beijing 100013,China;China Construction Eighth Engineering Division Co.,Ltd.,Shanghai 200135,China)

机构地区：[1]同济大学土木工程学院,上海200092 [2]中国建筑科学研究院有限公司,北京100013 [3]中国建筑第八工程局有限公司,上海200135

出　　处：《建筑结构》2025年第5期79-86,23,共9页Building Structure

基　　金：“十四五”国家重点研发计划项目(2023YFC3804300)。

摘　　要：混凝土结合面的粗糙程度对其受力性能具有重要影响。采用参数和测量方法对界面粗糙度进行表征,并进行了对比分析。结果表明,虽然采用堆砂法测量的粗糙度能客观反映结合面的施工质量和受剪性能,但难以应用于实际工程检测;基于三维激光扫描的模拟堆砂法可以还原混凝土结合面三维表面信息,以数字化的方式对结合面粗糙度进行有效检测,但测量效率较低;基于结构光深度相机开发的定光照、定距离、定角度、定范围设备,可实现对结合面粗糙度的高效稳定检测;此外,基于机器视觉和深度学习技术,通过建立相关数据库,能够对结合面粗糙等级和施工质量缺陷进行智能评估,显著提升混凝土结合面质量检测的数字化和智能化水平。The roughness of concrete interfaces significantly affects their mechanical performance.The parameters and measurement methods were used to characterize interface roughness,and a comparative analysis was conducted.The results indicate that the sand patch method can objectively reflect the construction quality and shear performance of the interface,but its application in practical engineering inspection is limited.The simulated sand patch method based on 3D laser scanning can reconstruct the three⁃dimensional surface information of the concrete interface,effectively detect the roughness of the interface in a digital manner,but the measurement efficiency is relatively low.A specialized device,developed using a structured light depth camera with fixed lighting,distance,angle and range,is capable of enabling efficient and stable roughness detection.Furthermore,through the integration of machine vision and deep learning technologies coupled with the establishment of relevant databases,this approach can achieve intelligent assessment of roughness grades and construction quality defects at interfaces,significantly enhance the digitization and intelligence of concrete interface quality inspection.

关 键 词：混凝土结合面 粗糙度 堆砂法 三维激光扫描 人工智能 

分 类 号：TU317.9[建筑科学—结构工程]