摘要
对现有参数化建模和智能寻优算法技术在基于性能的设计优化方面的特点和局限性进行了剖析;根据设计师在方案阶段侧重于建筑设计探索和概念发生的工作特点,介绍了具有自主设计生成和探索能力的设计优化工具EvoMass,并展示了其在方案设计中的应用。应用结果表明,设计师可以通过EvoMass提取与建筑性能相关的设计信息,并将其融入概念发生和设计综合的过程之中。同时,EvoMass为性能设计优化流程提供了面向“人机协同的设计综合”的新方法范式。
This paper centers on the need for design exploration and concept development at the early-stage architectural design and investigates the limitations of current application of parametric modelling and computational optimization in performance-based design generation and exploration.In response to these limitations,the paper introduces an integrated design tool,called EvoMass,for building massing generation,optimization and exploration and demonstrates its utility in architectural design processes.The result shows that the designers can extract design information related to building performance from the optimization result and proactively use this information as a driving factor in the concept development and design synthesis processes.Finally,EvoMass facilitates a human-machine co-evolutionary design process in the early stages of architectural design.
作者
王力凯
吉国华
童滋雨
江山
WANG Likai;JI Guohua;TONG Ziyu;Patrick JANSSEN
出处
《新建筑》
2022年第3期84-89,共6页
New Architecture
基金
国家自然科学基金面上项目(52178017)
中国博士后科学基金(2021M701664)。