Automated dimensional quality assurance of full-scale precast concrete elements using laser scanning and BIM

预制混凝土 质量保证 工程类 激光扫描 比例(比率) 计算机科学 建筑工程 结构工程 激光器 运营管理 量子力学 光学 物理 外部质量评估
作者
Minkoo Kim,Qian Wang,Joon-Woo Park,Jack C.P. Cheng,Hoon Sohn,C. C. Chang
出处
期刊:Automation in Construction [Elsevier BV]
卷期号:72: 102-114 被引量:204
标识
DOI:10.1016/j.autcon.2016.08.035
摘要

This study presents a quality inspection technique for full-scale precast concrete elements using laser scanning and building information modeling (BIM). In today's construction industry, there is an increasing demand for modularization of prefabricated components and control of their dimensional quality during the fabrication and assembly stages. To meet these needs, this study develops a non-contact dimensional quality assurance (DQA) technique that automatically and precisely assesses the key quality criteria of full-scale precast concrete elements. First, a new coordinate transformation algorithm is developed taking into account the scales and complexities of real precast slabs so that the DQA technique can be fully automated. Second, a geometry matching method based on the Principal Component Analysis (PCA), which relates the as-built model constructed from the point cloud data to the corresponding as-designed BIM model, is utilized for precise dimension estimations of the actual precast slab. Third, an edge and corner extraction algorithm is advanced to tackle issues encountered in unexpected conditions, i.e. large incident angles and external steel bars being located near the edge of precast concrete elements. Lastly, a BIM-assisted storage and delivery approach for the obtained DQA data is proposed so that all relevant project stakeholders can share and update DQA data through the manufacture and assembly stages of the project. The applicability of the proposed DQA technique is validated through field tests on two full-scale precast slabs, and the associated implementation issues are discussed. Field test results reveal that the proposed DQA technique can achieve a measurement accuracy of around 3.0 mm for dimension and position estimations.
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