Abstract

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.

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