Computational analogies of biological systems applied for novel construction processes

Abstract

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.