城市形态
计算机科学
形态学(生物学)
模拟
数学优化
土木工程
工程类
城市规划
数学
地质学
古生物学
作者
Sheng Xu,Peisheng Zhu,Fei Guo,Duoduo Yan,Shiyu Miao,Hongchi Zhang,Jing Dong,Xianchao Fan
出处
期刊:Buildings
[MDPI AG]
日期:2024-10-05
卷期号:14 (10): 3176-3176
标识
DOI:10.3390/buildings14103176
摘要
In the context of global warming and the frequent occurrence of extreme weather, coastal cities are more susceptible to the heat island effect and localized microclimate problems due to the significant influence of the oceanic climate. This study proposes a computer-driven simulation optimization method based on a multi-objective optimization algorithm, combined with tools such as Grasshopper, Ladybug, Honeybee and Wallacei, to provide scientific optimization decision intervals for morphology control and evaluation factors at the initial stage of coastal city block design. The effectiveness of this optimization strategy is verified through empirical research on typical coastal neighborhoods in Dalian. The results show that the strategy derived from the multi-objective optimization-based evaluation significantly improves the wind environment and thermal comfort of Dalian neighborhoods in winter and summer: the optimization reduced the average wind speed inside the block by 0.47 m/s and increased the UTCI by 0.48 °C in winter, and it increased the wind speed to 1.5 m/s and decreased the UTCI by 0.59 °C in summer. This study shows that the use of simulation assessment and multi-objective optimization technology to adjust the block form of coastal cities can effectively improve the seasonal wind and heat environment and provide a scientific basis for the design and renewal of coastal cities.
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