Nature-informed architecture (NIA): learning from defects in crystals

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2021-1-27

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Kruşa Yemişcioğlu, Müge

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The transformation of design problems, processes, and praxis of construction by continuously increasing data mass is one of the major concerns of this dissertation.In this change, nature is re-emerging as an important source of information in the search for suchprocesses, in which architects become not only their designers but also their programmers and even their supervisors.This dissertation values defects in nature and abiotic part of it as a source of information in design. Whilethe majority of current nature-based studies are mostly focusedon the biotic part of nature with its flawless forms, patterns, and behaviors as a reference, nature also offersvarious excitingreferences showing how to deal with defectsand encouraging examples indiverse entities of abiotic nature. Therefore, in thisthesis, the relation between nature and architecture is revisited focusing on abiotic nature, defects, and the method of learning from them. The information of defects in nature are found valuable to be learnt from for architecture, not only to adopt thestrategies of nature to cope with them, but also to understand the role of defects on the responsive, adaptive and resilient nature of beings. Withtransferring the information of defects, it is aimed to be find the fitness defects of architecture that will enable us to fit new and challenging environments and technologies.The resultant approach encapsulating all these constituents, which is called nature-informed architecture (NiA), is proposed. In the scope of NiA, the concepts of data, data literacy, capta, and model are revisitedand well-known terms like scale, precision, and accuracy are redefined. Hence, anew metadata model,named transfer learning model (TLM),defining the data transfer from one domain to another is introduced. In this context, crystal formations are studied, a computational model revealing the behaviors observed in crystal formationis developed; then, this model isemployed to inform the models created for extended design processes encapsulatingform, fabrication and constructionspecific parameters foradditive and modular construction techniques.

Subject Keywords

Nature-informed Architecture, Defects in Nature, Computational Design, Transfer Learning, Crystal Formation

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https://hdl.handle.net/11511/89766

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Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

M. Kruşa Yemişcioğlu, “Nature-informed architecture (NIA): learning from defects in crystals,” Ph.D. - Doctoral Program, Middle East Technical University, 2021.