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优化树木分布的生成设计,以提高公共空间的热舒适度,特别考虑到炎热干旱的气候
Ahmed Maged1,2, Aly Abdelalim3, Abdelaziz Farouk A Mohamed3
1Landscape Architect, AE7, Cairo, EG, Egypt. Ahmed1500462@miuegypt.edu.eg.
生成式设计工具优化了树木分布,以改善埃及的户外热舒适度.
科学领域:
- 城市规划和设计
- 环境科学 环境科学
- 计算架构 计算架构
背景情况:
- 公共户外环境对于城市福祉和社会互动至关重要.
- 炎热干旱的气候对实现舒适的户外热条件构成重大挑战.
- 现有的设计方法需要改进,以优化这些气候中的景观参数.
研究的目的:
- 探索生成设计工具在优化树木分布以提高户外热舒适度方面的效率.
- 为景观设计提供一种动态,代的方法,适应各种城市形态.
- 验证使用人工智能驱动的软件来解决城市规划中的多目标设计挑战.
主要方法:
- 基于模拟的分析跨越了三个类型的邻里在Madinaty,新开罗.
- 使用生成设计工具与Dynamo进化算法进行树分布优化.
- 通过普遍热气候指数 (UTCI) 评估户外的热舒适度,使用草和模拟.
主要成果:
- 优化树木分布导致所有测试的社区类型的热舒适度有明显改善.
- 集群邻里地区的UTCI从38°C下降到37.55°C,植树优化.
- 半集群和完全开放的社区也证明了优化树配置的优化UTCI值.
结论:
- 生成式设计工具在优化树木分布方面是有效的,以在炎热干旱的城市环境中提高户外热舒适度.
- 这项研究验证了基于人工智能,基于模拟的方法用于自适应景观设计的使用.
- 优化景观策略可以显著减轻不同城市环境中的热不适,改善居民福祉.
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