几何原型与形态编码在商业建筑平面生成中的应用探索

Exploration on the Application of Geometric Prototype and Form Encoding Strategies in the Layout Generation of Commercial Buildings

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Citation

Zhang, B., & Li, B. (2022). Exploration on the Application of Geometric Prototype and Form Encoding Strategies in the Layout Generation of Commercial Buildings. Proceedings of the CDAC 2022, Wuxi, 26-27 November 2022, 105–114.

张柏洲, 李飚. 几何原型与形态编码在商业建筑平面生成中的应用探索[C]//智能设计·数字建造·智慧运维——2022计算性设计学术论坛暨中国建筑学会计算性设计学术委员会年会论文集. 2022: 105-114.

摘要

在建筑生成设计方法中，几何原型和形态编码是两类建立在几何运算基础上的规则转译策略。前者通过几何学原型的形式变形与参数调整回应建筑形式问题，后者通过设计规则的直接提炼和编码对形态要素进行模拟生成。针对部分典型商业建筑平面的设计问题与空间要素，分别探索了几何原型策略主导的公共空间生成以及形态编码策略主导的营业空间生成方法，并对室外商业步行街以及室内购物中心的案例进行了平面生成实验，表现出两类策略对于不同空间要素与设计条件的适用性。

关键词

规则转译；商业建筑平面；几何原型；形态编码；建筑生成设计

Abstract

In the field of architectural generative design, geometric prototype and form encoding are two rule-based translation strategies based on geometric operations. The former responds to architectural form problems through the deformation and parameter adjustment of geometric prototypes, while the latter simulates form elements through direct extraction and coding of design rules. This paper explores the applicability of the two strategies to different spatial elements and design conditions, by respectively investigating the public space generation dominated by the geometric prototyping strategy and the business space generation dominated by the form coding strategy. The experiments on the plan generation of typical commercial buildings, such as outdoor commercial streets and indoor shopping centers, demonstrate the effectiveness of both strategies.

Keywords

Rule Translation；Commercial Building Layout；Geometric Prototype；Morphological Encoding；Architectural Generative Design

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