Thinking Topologically for Early Stage Parametric Design

John Harding’s current EngD topic looks into the inflexibility of parametric modelling software for the early stage of design. By using techniques in genetic programming (GP), a new way of working with parametric models is proposed. The idea was recently published at the Advances in Architectural Geometry Conference in Paris. Abstract:

“Parametric modelling tools have allowed architects and engineers to explore complex geometries with relative ease at the early stage of the design process. Building designs are commonly created by authoring a visual graph representation that generates building geometry in model space. Once a graph is constructed, design exploration can occur by adjusting metric sliders either manually or automatically using optimization algorithms in combination with multiobjective performance criteria. In addition, qualitative aspects such as visual and social concerns may be included in the search process. The authors propose that whilst this way of working has many benefits if the building type is already known, the inflexibility of the graph representation and its top-down method of generation are not well suited to the conceptual design stage where the search space is large and constraints and objectives are often poorly defined. In response, this paper suggests possible ways of liberating parametric modelling tools by allowing changes in the graph topology to occur as well as the metric parameters during building design and optimisation”

A Preprint of the paper can be downloaded here here