RESEARCH ARTICLE
Individual Building Growth Model Based on Column Grid Cellular Automata
Gongyu Hou, Xin Xu*
Article Information
Identifiers and Pagination:
Year: 2015Volume: 9
First Page: 39
Last Page: 45
Publisher ID: TOBCTJ-9-39
DOI: 10.2174/1874836801509010039
Article History:
Received Date: 25/1/2015Revision Received Date: 1/3/2015
Acceptance Date: 10/3/2015
Electronic publication date: 29/5/2015
Collection year: 2015
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Architectural generative design has gained an overwhelming contemporary popularity when it comes to the digital architecture research. This paper proposes a model which mimics the growth of plants. Take the growth of a plant for example, branches grow before leaves. Similarly, the inward streamlines initiated from various entrances and exits within the boundaries of individual building are like branches, so are the functional areas to leaves. With the help of this idea, a growth model framework based on flat column grid cellular automata has been established which develops organic integration between CA model, site column grid and spatial database model. This model not only simulates the expansion of architectural space, but also reflects the building spatial variation of internal structure. It is a space-time dynamic model with basic features of complex systems and has great practical reference value for architects to understand the evolution process of architectural space. To help designers improve the efficiency of project decision, this paper uses genetic algorithm to obtain the positioning of function area, so as to effectively simulate the thought process of a successful architect.