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基于BIM的钢桁梁桥裂纹病害信息数字化管理
引用本文:卫星,邹建豪,肖林,陈杨,古兴宇.基于BIM的钢桁梁桥裂纹病害信息数字化管理[J].西南交通大学学报,2021,56(3):461-468, 492.
作者姓名:卫星  邹建豪  肖林  陈杨  古兴宇
基金项目:四川省科技计划高新技术及产业化面上项目(2017GZ0374)
摘    要:为解决传统桥梁病害信息管理过程中数据采集过程复杂、可视化效果不佳及缺乏时间关联要素的问题,结合BIM (building information modeling)技术实现了某钢桁梁桥裂纹病害的可视化,基于可视化编程软件Dynamo研发了一种裂纹病害信息快速批量更新的方法,且将更新代码模块化;通过引入病害时间参数,创建了4D裂纹病害信息模型,实现了裂纹病害信息与三维图形在时间序列上的动态关联,呈现了裂纹的扩展规律. 研究结果表明:在桥梁病害管理系统中引入BIM技术可以提升病害信息管理的效率,实现裂纹病害信息的可视化,通过4D裂纹病害信息模型的创建可以直观地对裂纹病害的发展历程加以呈现,帮助桥梁运维管理人员科学地预测裂纹发展趋势. 

关 键 词:钢桁梁桥    裂纹    建筑信息模型    病害管理    时间参数    4D模型
收稿时间:2019-06-02

Digital Management of Crack Defects Information in Steel Truss Bridges Based on Building Information Modeling
WEI Xing,ZOU Jianhao,XIAO Lin,CHEN Yang,GU Xingyu.Digital Management of Crack Defects Information in Steel Truss Bridges Based on Building Information Modeling[J].Journal of Southwest Jiaotong University,2021,56(3):461-468, 492.
Authors:WEI Xing  ZOU Jianhao  XIAO Lin  CHEN Yang  GU Xingyu
Abstract:In order to solve the problem of complex data collection process, poor visualization effect and lack of time-related factors in the traditional bridge defects information management process, the building information modeling (BIM) technology was used to realize the visualization of a steel truss bridge crack defect, and a method for rapid batch update of crack defects information was developed with the visual programming software Dynamo, in which the update code is modularized. By introducing time parameters of defects, a 4D crack defects information model was created, whereby the dynamic correlation between crack defect information and 3D graphics in time series was realized, and the crack propagation law was presented. Results show that the introduction of BIM technology into the bridge defects management system can improve the efficiency of defects information management and realize the visualization of crack defects information. The created 4D crack defects information model can intuitively present the development process of crack defects, facilitate bridge operation and maintenance, and help managers scientifically predict the trend of crack development. 
Keywords:
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