Parametric Design and Automation of Residential Buildings Based on Python

This study focuses on the application of Python programming to automate the parametric design process for rural residential architecture. By translating traditional architectural concepts into computational logic through Python, the research demonstrates how Python code can dynamically generate flexible and diverse design solutions. Python plays a central role in the creation of site layouts, floor plans, elevations, and building forms by leveraging its libraries, such as Turtle, for visual representation. This study highlights how Python enhances not only parametric design but also the automation of architectural processes, providing new opportunities for intelligent, data-driven design. The findings suggest that Python can significantly improve the efficiency and precision of design generation. Future research should explore expanding Python's capabilities to more complex tasks such as designing public buildings or climate-responsive structures.

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Published
2024-09-15
DOI
https://doi.org/10.1145/3689236.3698035
Primary Topic
Advanced Technology in Applications
Type
article
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article

Parametric Design and Automation of Residential Buildings Based on Python

Xia Wang, Jiatong Chen, Huicong Hu
Advanced Technology in Applications
article

Parametric Design and Automation of Residential Buildings Based on Python

Xia Wang, Jiatong Chen, Huicong Hu
article en

Abstract

This study focuses on the application of Python programming to automate the parametric design process for rural residential architecture. By translating traditional architectural concepts into computational logic through Python, the research demonstrates how Python code can dynamically generate flexible and diverse design solutions. Python plays a central role in the creation of site layouts, floor plans, elevations, and building forms by leveraging its libraries, such as Turtle, for visual representation. This study highlights how Python enhances not only parametric design but also the automation of architectural processes, providing new opportunities for intelligent, data-driven design. The findings suggest that Python can significantly improve the efficiency and precision of design generation. Future research should explore expanding Python's capabilities to more complex tasks such as designing public buildings or climate-responsive structures.

Zhengzhou University (CN)
Sustainable cities and communities
Openalex Percentile: Top 66%
Advanced Technology in Applications
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Parametric Design and Automation of Residential Buildings Based on Python — Xia Wang, Jiatong Chen, et al. · (2024) | TGRS Research Map | TGRS