铁道标准设计2025，Vol.69Issue(3)：189-196,8.DOI:10.13238/j.issn.1004-2954.202406180006
隧道工程参数化快速建模与LOD自适应集成技术研究
Research on Parametric Rapid Modeling and LOD Adaptive Integration Technology for Tunnel Engineering
摘要
Abstract
In response to the problems such as poor component reusability,low modeling efficiency,and inadequate integration and display effect in the current 3D design of railway tunnels,this study used research methods such as modeling analysis,algorithm research,software development,and project applications,to carry out research in the following three aspects.For tunnel components,the overall classification of railway tunnel component model library was defined.Modeling methods based on"parametric templates"and"adaptive rules"were proposed according to the characteristics of the components to establish a high-precision digital component model library for railway tunnels.Based on the component library,a parametric component assembly method for railway tunnels was developed.Based on the design scheme of tunnel support measures,parametric modeling was driven to achieve high-precision automatic orientation and positioning of the tunnel.Furthermore,graph partitioning technology was used to dynamically generate the tunnel model's LOD,and an element weight labeling strategy was applied to maximize the retention of tunnel structural features.This approach achieved the LOD adaptation for tunnel models in integrated display.The research results supported the development of an intelligent tunnel design system.Using the Yangcun Tunnel as an example,the high-precision component model library of tunnels was applied to complete rapid modeling and adaptive integration of the tunnel model,verifying the feasibility and practicality of the research results.关键词
铁路隧道/构件模型库/参数化建模/LOD自适应/集成展示Key words
railway tunnels/component model library/parametric modeling/LOD adaptation/integrated display分类
交通工程引用本文复制引用
方黄磊,吴佳明,姚洪锡,戴林发宝,李越,刘先林,钱洪亮,冯欣..隧道工程参数化快速建模与LOD自适应集成技术研究[J].铁道标准设计,2025,69(3):189-196,8.基金项目
国家重点研发计划项目(2021YFB2600400) （2021YFB2600400）
中国铁建股份有限公司科技研发计划项目(2022-A02) （2022-A02）
