Elementary Implementation of a Parameter-Based Generative Design System Considering the User Environment

Abstract

A generative design system subdivides a real physical space a user actually lives in and recreates it through object-oriented programming, and depending on the situation of the design process, variable data are arranged in a hierarchy to set up parameters so that an efficient shape can be drawn. A pleasant environment of the user space is considered under various space-related conditions during the design process using data obtained from an environment analysis simulation based on the building code. This study focuses on the methodology of processing and utilizing variable data derived by the parameterization of the analysis data through a simulation using sensor measurement equipment to analyze user behavioral design patterns and obtain the intensity of illumination of the interior space, which is the spatial variable data element that forms the actual physical space. After systematizing the variable values through motion capture, during the process of designing, as a sketch, a design algorithm will be formed, which will be utilized as the generative design algorithm. Further, a method for improving the design quality using a computer-based design algorithm will be investigated, and whether the design method can be improved further will be predicted. Relevance to Design Practice - This study utilizes various sensor-based IT technologies and environmental analysis data to design an optimal solution fit for a user environment and investigates whether a methodology could be applied to the design process to help improve the design through a generative design system by the processing of variable data.