CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

PDF papers
id ecaade2017_302
authors Saleh Tabari, Mohammad Hassan, Kalantari, Saleh and Ahmadi, Nooshin
year 2017
title Biofilm-inspired Formation of Artificial Adaptive Structures
source Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 303-312
summary Todays design researchers are beginning to develop a process-based approach to biomimicry. Instead of merely looking at static natural structures for inspiration, we are learning to draw from the underlying organic processes that lead to the creation of those structures. This paradigm shift points us in the direction of adaptive fabrication systems that can grow through processes of self-assembly and can reconfigure themselves to meet the contours of local environments. In this study we examined the structural growth patterns of bacterial biofilms as a basis for a new kind of artificial, self-assembling module. This demonstration of bio-inspired design shows how contemporary technology allows us to harness the lessons of evolution in new and innovative ways. By exploring the dynamic assembly of complex structural formations in nature, we are able to derive new resource-efficient approaches to adaptable designs that are suited to changing environments. Ultimately we aspire to produce fully synthetic analogues that follow similar patterns of self-assembly to those found in bacterial biofilm colonies. Designers have only just begun to explore the tremendous wealth of natural form-creation processes that can now be replicated with computer-aided design and fabrication; this project shows just one example of what the future might hold.
keywords Biofilm; Adaptive Structure; Formation; Quorum Sensing; Parametric Condition
series eCAADe
full text file.pdf (4,603,798 bytes)
references Content-type: text/plain
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