摘要
中庭空间作为公共建筑中最为核心的空间,其物理环境一直被人们所重视,而以往的相关研究大多只局限于单一环境参数,极少有整合光、热、风三个物理环境进行全面参数化设计研究。因此,以物理环境舒适性指标为导向,使用Grasshopper参数化编程平台和Octopus多目标优化插件等工具,结合多目标遗传算法理论,整合现有采光、热工、风环境模拟软件,构建中庭物理环境多目标优化模拟平台。通过实际模拟案例并计算得到模拟结果,提出了建筑物理环境参数化模拟计算的关键节点,选取适宜的自变量参数、材质参数、优化参数及目标函数,进而研究出上述物理环境模拟内容的可实施操作流程。为建筑师在建筑设计初期阶段找寻通用的设计流程与方法提供参考价值。
Atrium space is the most important space in public buildings, its physical environment index has always been paid attention to. However, most of the previous researches are limited to one aspect of the physical environment, and rarely integrated the three physical environments of light, thermal and wind for comprehensive parametric design research. Guided by the comfort index of physical environment, using Grasshopper parametric programming platform and octopus multi-objective optimization plug-in and other tools, combined with the multi-objective genetic algorithm theory, the existing natural lighting, thermal, wind environment simulation software is integrated, and a multi-objective optimization simulation platform suitable for this study is constructed. Through the actual simulation case and the optimal solution set, the key nodes of parametric simulation calculation of building physical environment are proposed, and the appropriate independent variable parameters, material parameters, optimization parameters and objective functions are selected, and then the operational process of the above physical environment simulation content is studied. It provides reference value for architects to find common design procedures and methods in the initial stage of architectural design.
作者
范晴
董天杰
张明宇(指导)
王超
FAN Qing;DONG Tian-jie;ZHANG Ming-yu;WANG Chao(Tianjin Key Laboratory of Building Physical Environment and Ecological Technology,Tianjin University,Tianjin 300072,China;Tianjin Urban Planning and Design Institute Co.,Ltd.,Tianjin 300190,China)
出处
《建筑节能（中英文）》
CAS
2022年第4期20-27,86,共9页
Building Energy Efficiency
基金
国家自然科学基金资助项目(51578368)
天津市应用基础与前沿技术研究计划资助项目(16JCYBJC22100)。
关键词
中庭空间
物理环境
综合模拟
多目标优化技术
atrium space
physical environment
comprehensive simulation
multi-objective optimization technology
