Wang, C; Gao, F; Cui, B; Huang, M M; Wu, M; Mao, L and Zheng, A (2024) Geometric quality assessment of precast concrete (PC) elements based on 3D structural light scanning. Architectural Engineering and Design Management, 20(2), pp. 303-319. ISSN 1745-2007
Abstract
The geometric quality of precast concrete (PC) elements is critical in the construction and management of prefabricated construction. However, traditional manual inspection is time-consuming, inaccurate and costly. Therefore, an effective and low-cost non-contact inspection method is needed to support the geometric quality inspection of PC elements as a way to improve inspection efficiency and accuracy. In this study, an intuitive, effective and inexpensive geometric quality inspection method is proposed to evaluate the geometric quality of PC elements using 3D structural light scanning technology. The proposed method fits the point cloud data model of PC elements to the design model, visualizes the range of dimensional deviation of the whole element by the generated deviation chromatogram, and then evaluates the overall geometric quality of PC elements based on the local absolute deviation distance and the average deviation distance. The evaluation results classify PC elements into qualified products, partially unqualified products and severely defective products, which can be directly used to guide the treatment of unqualified products. The method is highly integrated with realistic construction and has a strong practical value. This study enriches the means of assessing the geometric quality of PC elements and shows potential for implementation in real practice.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Architecture; Geometric quality assessment; structural light scanning; precast concrete; deviation chromatogram; 3D reconstruction; Defective products; Deviation; Quality assessment; Scanning; Inspection; Reinforced concrete; Quality control; Evaluation; Three dimensional models |
| Index terms: | precast concrete, inspection, reconstruction, efficiency, quality inspection, point cloud, quality control, quality assessment, implementation, data model, three dimensional model, reinforced concrete, deviation, design model, accuracy |
| Subjects: | quality assurance, data science, project delivery, financial and cost management, building construction, visualization, contractual arrangements, digital design, professional development, building materials, performance management, design process |
| Topics: | Design Practice, Information Management, Cost Management, Digital Applications, Engineering Principles, Procurement, Construction Materials, Quality Management |
| Descriptive scope: | 2 PC |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here