A performance-based generative designframework based on a design grammar forhigh-rise office towers duringearly design stage  

作　　者：Liwei Chen Ye Zhang Yue Zheng 

机构地区：[1]School of Architecture,Tianjin University,Tianjin 300072,China

出　　处：《Frontiers of Architectural Research》2025年第1期145-171,共27页建筑学研究前沿(英文版)

基　　金：supported by the National Natural Science Foundation of China(Grant Nos.51878436,51708397).

摘　　要：In the past decade, the construction speed of high-rise office towers worldwide hasexhibited explosive growth. The unique morphological characteristics of high-rise office towersresult in higher shape factors and relatively larger thermal loads. The traditional workflow of“design-evaluation” in the early stages of design imposes constraints on the diversity of towermorphology, the timeliness of performance evaluation, and the efficient integration of systems. Therefore, targeting the geometric characteristics of high-rise office towers, a systematically developed and universally applicable design grammar, named “Vertex-Based PolygonalGenerative Grammar (VPGG)” is proposed. Additionally, a corresponding early-stage performance driven High-rise Office Tower Generative Design Framework (HOT_GDF) is introduced.Case study results demonstrate that, with the support of Artificial Neural Network, utilizingthis system can not only globally explore the diversity of tower morphologies but also efficiently uncover greater energy-saving potential in complex architectural forms compared tosimpler cubic forms, with an improvement of up to 7.76% during the early stages of design. Designed from the perspective of architects, the framework achieves logical, refined, and visualreal-time interaction between computers and human minds during the early stages of towerdesign. This enhances design efficiency and facilitates design decision-making. It systematically integrates considerations for environmental performance, such as thermal load and thermal comfort, into the design process. Furthermore, it couples various aspects of morphologicaldesign with corresponding building performance, helping users in making design decisions froma rational and quantifiable perspective. This captures greater design potential, encompassingboth form and performance, for high-rise office towers during the initial design phase.

关 键 词：Performance-based generative design systems Design gramma Design automation Performance optimization Thermal load High-rise office tower Early design stage Artificial neural network 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]