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Title: Scripting errors : a taxonomy of architectural bodies' deviations as a response to uncertainty and infinite future scenarios
Author: Adilenidou, Panagiota
ISNI:       0000 0004 8508 1646
Awarding Body: UCL (University College London)
Current Institution: University College London (University of London)
Date of Award: 2019
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This design research focuses on the importance of error in the evolution of form and the logic of matter distribution describing its relationship to randomness and repetitive behaviour. While considering error as the path and the necessity for optimization, the question that arises is whether we can invent a process for creating an error system as a response to maximum efficiency and variation in architectural design, implemented in structure, fabrication, and formal investigation. How can we construct things when all is possible/uncertain in the future by planning a malleable present of various scales built elements that are able to adjust, adapt, and co-inhabit their environment? Through an analogy to the development process of an embryo into a full figure, and using computation and Cellular Automata systems as a model of growth and matter distribution combining randomness with finite data, a series of experiments establish a taxonomy of architectural bodies' deviations and morphological errors. This results in a toolbox system that can be applied in various scales and conditions according to the parameters specified, providing alterations to body form and varied possibilities for interaction with the context-environment and other bodies-while responding to uncertainty and infinite future scenarios. Different body typologies are created starting from linear structural elements continuing to space dividers and larger surface components providing detail intensity, perforation, and lighting. Their proliferation guided through assemblage sets of differential grids leads to the build-up of big span structures and edifices such as a cathedral, drawing a reference to the detail resolution and the sculpting methodologies of the Gothic architecture and Gaudi's Sagrada Familia. The research results are communicated through drawings, 3D visualizations, and fabrication prototypes, such as, one to one 3D printed components/tiles and finally a large-scale robotic 3D Concrete printed column prototype.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available