Multi-objective Parametric Massing Optimisation for a Sustainable and Healthy Urban Living Environment
Multi-objective Parametric Massing Optimisation for a Sustainable and Healthy Urban Living Environment
复制标题
多目标参数体量优化，打造可持续健康的城市生活环境
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Mathew Vola
中科院分区：
文献类型：
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作者：
Rick Titulaer;A. Christodoulou;Mathew Vola
对高性能建筑及其直接环境的要求常常是相互冲突的。这些相互冲突的需求可以通过遵循数据驱动的大规模设计范式来导航和优化建筑性能。这既需要确定关键绩效指标，也需要根据这些kpi对建筑物的绩效进行量化。遵循这种模式，设计师可以在概念阶段启发、告知和优化建筑的几何形状，最大限度地提高建筑的性能，使其符合设计目标。乌得勒支的Smakkelaarspark开发项目的案例研究证明了这种方法的好处，为可持续和健康的城市生活环境设定了新的基准。通过本案例研究，展示了多目标参数化优化如何为创建改进的建筑设计提供强大的工具包，其中分析了几个kpi。
The requirements for high performing buildings and their direct surroundings are often conflicting. These conflicting requirements can be navigated and building performance can be optimised by following the paradigm of data-driven massing design. This both requires the identification of key performance indicators and the quantification of the building’s performance with regards to these KPIs. Following this paradigm allows the designers to inspire, inform, and optimise a building’s geometry at concept stage, maximising the building performance subject to the design objectives. The benefits of this approach are demonstrated through the case study of the Smakkelaarspark development in Utrecht, setting a new benchmark for a sustainable and healthy urban living environment. Through this case study, it is demonstrated how multi-objective parametric massing optimisation provides a powerful toolkit for creating improved building designs in which several KPIs are analysed.