摘要
建筑区域性规划是对城市空间使用的设计与规制,对城市环境及其内部活动之区位的物理形态、经济功能及社会影响具有重大意义。为解决建筑区域规划普遍存在的设计师主观依赖性和效率不高的问题,本文基于BIM技术和Dynamo衍生式设计的原理,提出建筑布局规划方案设计的智能优选方法,在确定并量化设计规划方案的各类约束条件的基础上,通过多目标遗传算法,实现了多约束条件下的区域建筑布局规划方案参数化智能优选,大大提高了BIM在早期规划阶段的设计能力和工作效率,为我国建设行业更深入地挖掘BIM应用价值提供了参考和借鉴。
Regional architectural planning is the design and regulation of the use of urban space,which is of great significance to the physical form,economic function and social impact of the urban environments and their internal activity locations.In order to solve the problems of designers’subjective dependence and low efficiency in regional architectural planning,this paper proposes an intelligent optimization method for architectural layout planning scheme design based on BIM technology and Dynamo generative design principles.On the basis of determining and quantifying various constraints of planning schemes,through multi-objective genetic algorithms,the paper realizes the parametric intelligent optimization of architectural layout planning schemes under multi-constraint conditions,greatly improving BIM design capability and work efficiency in the early planning stage.It provides a reference for the construction industry in China to further explore the application value of BIM.
作者
罗荃
周建亮
景慧情
Luo Quan;Zhou Jianliang;Jing Huiqing(School of Mechanics and Civil Engineering,China University of Mining and Technology,Xuzhou 221000,China)
出处
《土木建筑工程信息技术》
2024年第1期27-31,共5页
Journal of Information Technology in Civil Engineering and Architecture
基金
国家自然科学面上基金(编号:72171224)
教育部人文社科规划基金(编号:19YJAZH122)。
