摘要
In the past decade,there has been an increasing recognition of the role of computational design optimization in early-stage performance-based architectural design exploration.However,it remains challenging for designers to apply such optimization-based design explorations in practice.To address this issue,this paper introduces a design tool,called EvoMass,and an associated design method that facilitates design exploration for building massing typologies in performance-based design tasks.EvoMass is capable of offering architects design options reflecting performance-related building massing typologies for the design task,without necessitating advanced computational design skills.More importantly,it can provide architects with insights into the underlying performance implications,thereby enhancing early-stage performance-based design exploration.EvoMass and its associated design method overcome the limitation in the conventional typology-first-optimization-second design procedure adopted by most existing tools,and it promotes a typology-oriented design exploration method of using computational optimization in performance-based architectural design.To demonstrate the efficacy of EvoMass,case studies derived from architectural design studio tasks,incorporating daylighting,solar exposure,and subjective design intents,and the result of a user survey are presented,which highlights how EvoMass and the performance-based design optimization and exploration can enable architects to achieve a more performance-aware design.
基金
supported by the Xi’an Jiaotong-Liverpool University Research Development Fund(RDF-23-01-107)
the National Natural Science Foundation of China(52178017)。
作者简介
Corresponding author:Likai Wang,E-mail address:likai.wang@xjtlu.edu.cn。
