Fine modeling of spatial three-dimensional curved steel box girders based on BIM technology
• A fine modeling method based on the BIM (Building Information Modeling) technology is provided for analyzing the three-dimensional curved steel box girder bridge. • The Hangzhou Gang River West Slow-Walking Pedestrian Bridge is taken as an example. • The results show that the BIM technology in this paper is beneficial for conducting the fine modeling of the spatial three-dimensional curved steel box girder. The three-dimensional curved steel girder box bridge is a specialized structure characterized by a spatial combination of horizontal curves, vertical curves, and variations in cross-section. This paper presents an advanced modeling method based on Building Information Modeling (BIM) technology for three-dimensional curved steel box girder bridges, with the Hangzhou Gang River West Slow-Walking Pedestrian Bridge serving as a case study. The parameters related to the horizontal, vertical, and elliptical curves from the two-dimensional drawings are collected to facilitate the parametric modeling of the three-dimensional curved steel box girder. This approach overcomes the limitations of traditional two-dimensional wireframe drawing methods and suitable for the in-depth design and manufacturing processes for steel plates. The findings demonstrate that the BIM technology in this paper is beneficial for conducting the fine modeling of the spatial three-dimensional curved steel box girder.
Authors
- Junwei Shi (ORCID: https://orcid.org/0000-0002-8427-6316)
- Lingyan Zhu (ORCID: https://orcid.org/0000-0001-9318-7940)
- Yuanchuan Chen
- Shicheng Zheng (ORCID: https://orcid.org/0000-0003-0031-9516)
- Qian Feng
- Wei Hu (ORCID: https://orcid.org/0000-0003-4880-991X)
Institutions
- Shanghai Construction Group (China) (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Results in Engineering
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1016/j.rineng.2024.103729
- Citations
- 2
- Primary Topic
- BIM and Construction Integration
- Type
- article
- Field-Weighted Citation Impact
- 0.53