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

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id ecaade2018_276
authors Kruşa Yemişcio?lu, Müge, Gönenç Sorguç, Arzu and Özgenel, Ça?lar F?rat
year 2018
title Crystal Formations and Symmetry in the Search of Patterns in Architecture
source Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 121-128
summary Nature is always full of patterns inspiring all the disciplines and especially architecture in many ways. Currently, with the advances in technology and growing interest towards nature-driven studies, retrieving information from nature has a new connotation in scales and dimensions including both living and non-living beings. In this study, it is aimed to explore the scales of nature from Nano to Macro and a holistic approach is embraced to cope with the complexity of nature and architecture. To understand these complexities, patterns in different forms and scales serve as valuable tools to decode and recode information from one domain to another through locating the order and how patterns exist in different and changing environments with respect to forces and the urge of the existence of the being.This research focuses on the behavior of crystal formation which can be observed both in biotic and abiotic nature to understand the order generating the patterns in nature and its adaptation into a different and changing environment. This information of crystallization has great potential for architecture in terms of spatial structures, new materials and introducing a novel lattice for freeform structures. In this study, the potentials, limits and possible contributions of crystal formation are stated for architecture in the search of symmetry and patterns.
keywords nature-driven; computational design; crystal formation; symmetry; pattern
series eCAADe
full text file.pdf (4,783,235 bytes)
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