Inside the area of computational design and geometry optimization for digital fabrication of thin shell structures opens a new field of investigation related to biological systems and artificial intelligence. This thesis is examining the theoretical and computational modelling frameworks operating on two different simulation domains: the biological pattern prediction mechanism and the architectural generative design for construction. It is bringing insights for the establishment of a design methodology and a scientific approach of analysis that incorporates modelling and simulation techniques for building a machine learning algorithm that would be able to predict new building information, saving computational time and to make the fabrication process more efficient, economizing material.
L'accés als continguts d'aquesta tesi queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: http://creativecommons.org/licenses/by-nc-nd/4.0/
