A generative parametric performance design system for spatial configurations
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NO FULL TEXT AVAILABLE. This thesis contains 3rd party copyright material. ----- Parametric design systems offer a novel approach to design optimisation that allows the definition of both problem and solution in the same model. However, parametric models are challenged by scalability and become difficult to operate in complex design systems, which correlate to the number of entities and their relationships. The aim of this research is to develop an enhanced design method for the exploration of conceptual designs, through the construction of a performance driven parametric design system. The system is developed through an object oriented programming approach to resolve the challenges associated with system complexity. The system provides a new interactive method for spatial design exploration, using a physics-based modelling approach that has the ability to include a range of different forces. A prototype is presented to create a generative parametric performance design system that integrates the generation, analysis, evaluation and optimisation of multi-objective design problems. This prototype is implemented in both a visual programming language and a textual programming language to assess and overcome limitations faced in the construction of complex parametric systems. The prototype is demonstrated and evaluated through a case study focused on the generation and optimisation of spatial configurations. To assess the prototype, a series of design, implementation and software objectives are outlined to determine both the quality of the design solutions and system implementation. This thesis demonstrates that parametric systems enabled an interactive approach to the conceptual design of innovative spatial configurations, allowing real-time feedback through the use of physics solvers. The design system presented was capable of achieving an integrated approach to generate, analyse, evaluate and optimise designs. The implementation of this system has significant benefits for the conceptual design process, allowing designers the opportunity to interactively explore and optimise their initial designs with performance feedback, before committing to a design concept.
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