基于三维激光扫描的预制混凝土板拉毛叠合面粗糙度检测方法研究  

Roughness quantification method for raked composite surfaces of precast concrete slabs:a 3D-laser-scan-based approach

作　　者：刘继松 余少乐 张渤钰 程志军 赵勇[1] LIU Jisong;YU Shaole;ZHANG Boyu;CHENG Zhijun;ZHAO Yong(College of Civil Engineering,Tongji University,Shanghai 200092,China;China Construction Eighth Engineering Division Co.,Ltd.,Shanghai 200135,China;China Academy of Building Research,Beijing 100013,China;Longxin Construction Group Co.,Ltd.,Haimen 320500,China)

机构地区：[1]同济大学土木工程学院,上海200092 [2]中国建筑第八工程局有限公司,上海200135 [3]中国建筑科学研究院有限公司,北京100013 [4]龙信建设集团有限公司,海门320500

出　　处：《建筑结构》2021年第23期127-132,共6页Building Structure

基　　金：国家重点研究计划项目(2016YFC0701700)。

摘　　要：预制混凝土板叠合面的粗糙度对其抗剪性能有显著影响,对其施工质量需予以严格控制。采用手持式三维激光扫描仪采集叠合面点云数据,并利用主分量分析技术与均值滤波处理点云数据,提出基准面法处理叠合面局部缺陷,采用条带法进行三维重建与粗糙度计算,从而形成基于三维激光扫描的预制混凝土板拉毛叠合面粗糙度检测技术。通过对白纸平面与仿拉毛叠合面的检测验证了所建立技术的高效性与准确性。对三个构件厂的28个采用拉毛工艺处理的预制混凝土板叠合面进行了检测,对检测结果进行了统计分析,并通过蒙特卡洛法得出拉毛叠合面粗糙度抽样检测建议。The roughness of the composite surfaces of the precast slabs has a remarkable influence on the shear capacity,so it is necessary to strictly control the construction quality.A handheld 3D laser scanner was used to gain the point cloud data of composite surface,and PCA technology and average filtering technology were used to process the point cloud data.A datum level method was proposed to process local defects of composite surfaces,proposing a strip method to realize 3D reconstruction and roughness calculation,thus forming a roughness inspection technology based on 3D laser scanning for the raked concrete surface of precast concrete slab.The high efficiency and accuracy of the technology were verified by the test of the white paper plane and the composite surface.28 composite surfaces of precast concrete slabs treated by raking technology in three component factories were tested,the results were statistically analyzed,and sampling detection suggestions for the roughness of composite surfaces were obtained by Monte Carlo method.

关 键 词：三维激光扫描 预制混凝土板叠合面 粗糙度检测技术 条带法 

分 类 号：TU756.44[建筑科学—建筑技术科学] TU712.3