首页|基于IFC的建筑结构设计信息交互框架研究与实现

基于IFC的建筑结构设计信息交互框架研究与实现

IFC-based information exchange framework research and implementation between architectural and structural design

扫码查看
为了解决基于BIM的建筑与结构设计工作模式中信息交互度低的问题,提出了基于IFC的建筑结构信息交互框架.该框架由 4 个算法模块、5 个步骤组成.借助于IfcOpenShell工具包,用Python语言开发了前两个算法模块即IFC文件优化算法模块和结构信息模型提取算法模块.选取案例模型对所开发算法的有效性进行了验证.验证结果表明:优化算法模块可以有效地过滤IFC文件中的无用信息,查找并删除重复的实体,使IFC文件轻量化,且可间接提高提取算法模块的运行效率;提取算法模块可以准确地从IFC文件中提取结构信息模型,未出现IFC语法错误、构件丢失、构件重叠等情况.IFC文件优化算法模块和结构信息模型提取算法模块的成功开发为信息交互框架的完全实现奠定了基础.
In order to solve the problem of low information exchange rate in the working mode of BIM-based architectural and structural design,an IFC-based information exchange framework between architectural and structural design was proposed.This framework consists of four algorithm modules and five steps.With the help of IfcOpenShell toolkit,the first two algorithm modules:IFC file optimization algorithm module and structural information extraction algorithm module were developed in Python language.The validity of the developed algorithms was verified by an architectural model.The verification results show that the optimization algorithm module can effectively filter the useless information in the IFC file,find and delete the duplicate entities,make the IFC file lighter,and indirectly improve the operation efficiency of the extraction algorithm module;the extraction algorithm module can accurately extract the structural information from the IFC file without any IFC syntax error,missing components,or overlapping components,etc.The successful development of the optimization algorithm module and the structural information extraction algorithm module lay the foundation for the full implementation of the proposed information exchange framework.

industry foundation classes(IFC)architectural designstructural designinformation exchange frameworkoptimization algorithmextraction algorithm

张兆波、孟晓明

展开 >

甘肃农业大学水利水电工程学院,兰州 730070

中国建筑西南设计研究院有限公司,成都 610041

工业基础类 建筑设计 结构设计 信息交互 优化算法 提取算法

住房和城乡建设部科学技术计划项目甘肃农业大学盛彤笙科技创新基金项目甘肃省青年科技基金计划项目

2021-k-154GSAU-STS-2018-3320JR10RA556

2024

建筑结构
中国建筑设计研究院 亚太建设科技信息研究院 中国土木工程学会

建筑结构

CSTPCD北大核心
影响因子:0.723
ISSN:1002-848X
年,卷(期):2024.54(5)
  • 14