G-BIM framework: a feasibility study for the adaptation of generative BIM workspace for conceptual design automation

The integration and automation of the whole design and implementation process has become a pivotal factor in Architecture, Engineering, and Construction (AEC) projects, especially regarding recent technological developments and emergent drivers in the field. Extant literature has highlighted a series of recurrent problems in process integration, especially at the conceptual design stage – which invites a series of technological challenges. This study presents the adoption of Generative Building Information Modelling (G-BIM) workspaces as an emerging technology with the potential to leverage conceptual design innovation in AEC projects. It builds upon the findings of an initial survey, and proffers a preliminary theoretical framework for using generative BIM workspaces at the conceptual design stage. This framework highlights the link and dependencies between generative/parametric tools and BIM applications to expedite information transition using generative tools primarily based on neutral BIM standards. Limitations of tools and approaches for providing accurate project information models are also captured in this framework. This paper demonstrates an overview of the G-BIM framework and conceptual developed tool. Moreover, the paper briefly reports challenges and opportunities associated with existing software applications. Findings reveal that the application of Generative Design (GD) can significantly enhance the design experience by assisting designers in the iterative generation of alternatives and parameterisation processes. This theoretical framework purposefully integrates BIM with GD to enhance the design process at the conceptual design stage. This forms the rubrics for a working prototype which actively engages GD methods into a single dynamic BIM environment – the results of which will be presented in later works.