• ISSN: 1674-7461
  • CN: 11-5823/TU
  • Hosted by:China Society and Technology Association
  • Organizer:China Graphics Society
  • Guidance:China Academy of Building Research
Qilin Zhao, Zhangqiong Wang, Xiaoya Xu, Yi Zhou, Yonghui Cai. Research on Parametric Modeling of Pedestrian Arch Bridge Based on BIMBase[J]. Journal of Information Technologyin Civil Engineering and Architecture, 2023, 15(3): 33-38. DOI: 10.16670/j.cnki.cn11-5823/tu.2023.03.06
Citation: Qilin Zhao, Zhangqiong Wang, Xiaoya Xu, Yi Zhou, Yonghui Cai. Research on Parametric Modeling of Pedestrian Arch Bridge Based on BIMBase[J]. Journal of Information Technologyin Civil Engineering and Architecture, 2023, 15(3): 33-38. DOI: 10.16670/j.cnki.cn11-5823/tu.2023.03.06

Research on Parametric Modeling of Pedestrian Arch Bridge Based on BIMBase

  • The parametric modeling based on the domestic software BIMBase can handle the models with peculiar shapes and complex curves, complicated modeling process and model modification by using conventional three-dimensional modeling methods. Taking the pedestrian arch bridge as an example, this paper introduces the BIMBase parametric modeling process, studies the parametric modeling method for the bridge, and then sets the relevant parameters of the bridge based on python language writing code, after which the corresponding correlation of the model geometry information is established to realize the parametric modeling of the pedestrian arch bridge. Hence it succeeds in checking the accuracy of the model and comparing the conventional three-dimensional modeling method with the BimBase-based parametric modeling method. This parametric modeling method effectively manages difficult modeling, cumbersome modeling process and model modification of the pedestrian arch bridges. What's more, this method also improves design efficiency and realizes large-scale rapid model design, which shows that BIMBase parametric modeling is feasible and advanced in three-dimensional modeling, and provides a reference for BIMBase-based parametric modeling technology.
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