Enriching IFC Models with Spatial Design Logic and Parametrics to Improve Design Adaptability – The Case of Alignment Grids

The Industry Foundation Classes (IFC) data model is broadly used in architectural and construction engineering design. Despite the comprehensive features of the IFC data model, the transfer of design logic and parametrics across different platforms is limited. This is mainly due to the insufficient use of advanced IFC features by the export modules of authoring tools, resulting in the loss of parametrics. To support the exchange of the design logic, this paper introduces an automated enrichment method to enhance IFC data models with explicit design parametrics toward a more adaptable design process. In this paper, we focus on identifying grid logic, which is essential for the spatial reference system. This approach encompasses grid estimation, alignment, and parameter computation, utilizing quantitative thresholds for improved flexibility. By aligning and merging the grid references, relationships between building elements and grids are articulated through grid-based design parametrics. The effectiveness of this approach is demonstrated through a case study. This innovative strategy provides a retrieval mechanism for automatically identifying spatial grid logic, laying the groundwork for rapid design adaptation. The proposed enrichment method can significantly improve the variability of IFC data models in complex architectural and engineering scenarios.