摘要
随着当下数智时代的来临,基于计算性设计思维的数字建筑设计表达范式正在促使传统建筑形态建构与环境物质呈现技术不断迭代,并向基于"形式/性能"的多元与聚合的建筑智能化设计工作流迈进。受复杂性科学理论的影响,依托数字技术应运而生的"智能生成"设计在极大程度上实现了"形式性"和"物质性"的高度统一。文章旨在以环境物质性能的视角,探讨一套整合了形状生成语法、多目标优化、进化式算法的自我回馈的建筑智能生成设计工作流。该设计流面向梳理与解决静态建筑物质空间形式与动态环境物质性能之间的复杂关系与矛盾,为未来可持续城市与建筑设计在理论与实践层面提供新思路。
With the advent of the era of intelligence,the paradigm of digital architectural design expression based on computational design thinking promotes continuous evolvement of the generation of traditional architectural form and the technology of environmental material presentation,towards the multi-dimensional and aggregated architectural intelligence design flow based on"morphology/performance".Influenced by the theory of complexity science and digital technology,the emerging"intelligent generation"has realized the effective unity of"formality"and"materiality"to a great extent.This paper aims to explore a set of intelligent generative design flow for architecture that integrates self-feedback of shape generative grammar,multi-objective optimization,and evolutionary algorithms from the perspective of environmental material performance.This design flow is oriented to sort out and solve the complex relationship and contradiction between the static building material spatial form and the dynamic environment material performance,making certain explorations in theory and practice for the future sustainable city and architectural design.
作者
姚佳伟
黄辰宇
袁烽
YAO Jiawei;HUANG Chenyu;Philip F.YUAN
出处
《时代建筑》
2021年第6期38-43,共6页
Time + Architecture
基金
国家自然科学基金资助项目(51908410)
上海市级科技重大专项(2021SHZDZX0100)
中央高校基本科研业务费专项资金。
关键词
环境物质
性能驱动
智能生成设计
多目标优化
数字设计工作流
Environmental Materials
Performance Driven
Intelligent Generative Design
Multi-objective Optimization
Digital Design Workflow
