This paper explores the adaptability of an evolutionary algorithm for structure modifications. It demonstrates methods how to combine evolution and physical simulation with Finite Element Analysis (FEA). This combination can be used as a parametric design tool. Novel methods enable future designers to create emergent structures combining physical and geometrical design aspects. The design of geometry and structures whether for buildings, constructions or components is mostly based on the discrete process of Computer Aided Design (CAD). Any modifications on these data are challenging and even experts do not entirely succeed in estimating design changes and their physical influence on structures. When we comprehend future design as an interdisciplinary challenge it becomes important that we learn to benefit from evolutionary optimization as an integrative (bottom-up) design strategy. Parametrical design with an FEA application offers additional design parameters beyond the geometrical data on that CAD is based. The FEA gives the opportunity for physical parameters like materiality, deformations or even temperatures to enter a formfinding process as evolutionary design parameters. Professional FEA applications are occasionally equipped with an integrated tool for structural optimization i.e. the modification of geometry. Actually these optimization strategies remain a one-way street leading towards the best mechanical solution. My aim is to demonstrate in a case study how evolutionary optimization could complement geometrical composition and to discuss how this novel strategy would help future design to create emergent structures and shapes.
|Keywords:||Science, Technology, Emergence, Evolution, Pattern, Structural Design, Design Process, Parametric Design, Generative Design, Nature|
Assistant Professor, Architektur Stadtplanung Landschaftsplanung , Fachgebiet Tragkonstruktion , (Department of Structural Design), Universität Kassel, Kassel, Germany
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