Standardized semantic enrichment of OpenBIM for machine-readable pre-demolition audits

The transition to a circular construction sector requires reliable, machine-readable material data from existing buildings. Although reality-capture and emerging scan-to-BIM workflows increasingly support geometric modeling of existing buildings, pre-demolition audits still rely largely on manual interpretation and static reports that downstream tools cannot automatically process. The remaining obstacle is semantic. This paper presents WASTEie2IFC, a web-based framework that addresses this gap by writing audit outputs against the openly published bSDD WASTEie dictionary. The resulting IFC files carry interoperable Property Sets and European Waste Catalogue classifications rather than proprietary labels, standardizing the audit deliverable. We evaluate the framework on a historical railway station in the Czech Republic, enabling a rare ex-post validation against actual measured demolition tonnages. Residual discrepancies are traceable to upstream geometric capture limits rather than the semantic enrichment pipeline, and hazardous materials identified digitally were successfully isolated on-site. These results position the framework as a reliable foundation for digital circular-economy workflows required by emerging regulation and by secondary-material markets.