Research on Feature-Based Virtual Assembly Algorithm for Truss Segments of Steel Truss Bridge

被引：0
|
作者：
Mao W. [1 ,2 ,3 ]
Li X. [1 ]
Wang X. [2 ,3 ]
机构：
[1] Department of Bridge Engineering, Southwest Jiaotong University, Chengdu
[2] China Railway Major Bridge Engineering Group Co.Ltd., Wuhan
[3] State Key Laboratory of Bridge Intelligent and Green Construction, Wuhan
来源：
Bridge Construction | 2023年 / 53卷 / 06期
关键词：
3D laser scanning technology; ICP algorithm; point cloud processing; reverse modelling; scale-down model test; steel truss bridge; steel truss segment; virtual assembly;
D O I：
10.20051/j.issn.1003-4722.2023.06.004
中图分类号：
学科分类号：
摘要：
The " 1 + 1 " trial assembly of trusses in the mountainous steel truss bridge is geologically demanding and resource-consuming, to address this issue, a feature-based virtual assembly method is proposed. By this method, a multi-scale 3D laser scanning technology is used in the reverse modelling of the steel trusses, and based on the point cloud reverse modelling and iterative closest point(ICP)algorithm of feature points, the virtual assembly of the steel trusses is realized, which can replace the physical trial assembly and reduce construction steps. A mountainous railway suspension bridge was taken for a case study to verify the feasibility and effectiveness of the proposed virtual assembly method. A scale-down model test was conducted. The results demonstrate that the proposed method can sort out the spans that would generate bigger truss assembly bias and ensure the assembly quality of trusses in a span as much as possible, while preventing the degradation of the assembly accuracy of the overall stiffening girder. © 2023 Wuhan Bridge Research Institute. All rights reserved.
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页码：26 / 33
页数：7
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