Accurate Virtual Trial Assembly Method of Prefabricated Steel Components Using Terrestrial Laser Scanning

Author:

Zhou Yin1ORCID,Han Daguang2ORCID,Hu Kaixin3,Qin Guocheng3ORCID,Xiang Zhongfu1ORCID,Ying Chunli3,Zhao Lidu1,Hu Xingyi4

Affiliation:

1. Department of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China

2. Department of Building and Energy Technology, Oslo Metropolitan University, 0130 Oslo, Norway

3. Chongqing Smart City and Sustainble Development Academy, Chongqing 400074, China

4. Faculty of Engineering Technology, KU Leuven, 8000 Bruges, Belgium

Abstract

The comprehensive utilization of prefabricated components (PCs) is one of the features of industrial construction. Trial assembly is imperative for PCs used in high-rise buildings and large bridges. Virtual trial assembly (VTA) is a preassembly process for PCs in a virtual environment that can avoid the time-consuming and economic challenges in physical trial assembly. In this study, a general framework for VTA that is performed between a point cloud, a building information model (BIM), and the finite element method is proposed. In obtaining point clouds via terrestrial laser scanning, the registration accuracy of point clouds is the key to building an accurate digital model of PCs. Accordingly, an accurate registration method based on triangular pyramid markers is proposed. This method can enable the general registration accuracy of point clouds to reach the submillimeter scale. Two algorithms for curved members and bolt holes are developed for PCs with bolt assembly to reconstruct a precise BIM that can be used directly in finite element analysis. Furthermore, an efficient simulation method for accurately predicting the elastic deformation and initial stress caused by forced assembly is proposed and verified. The proposed VTA method is verified on a reduced-scale steel pipe arch bridge. Experimental results show that the geometric prediction deviation of VTA is less than 1/1800 of the experimental bridge span, and the mean stress predicted via VTA is 90% of the measured mean stress. In general, this research may help improve the industrialization level of building construction.

Funder

Chongqing Smart City and Sustainable Development Academy

Publisher

Hindawi Limited

Subject

Civil and Structural Engineering

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