Abstract

Selective disassembly planning and materials passports are precursor technologies to support the retrieval of reusable building components efficiently. Selective disassembly relies on information about the recovery capacity of the components, while materials passports can be used to keep track of the disassembly information along the component's life cycles. However, the required information for selective disassembly is not represented in materials passports. Therefore, we developed a research approach to augment materials passports by integrating the information related to the components recovery capacity using a BIM-based Semantic Enrichment Engine for Disassembly Planning (SEEDP). First, we investigated the required information for selective disassembly and we proposed a characterization schema for disassembly models. Then, we developed the semantic enriching engine, SEEDP, as a comprehensive solution to automate three crucial steps: data pre-processing, production of materials passports for components, and assessment of disassembly models. Finally, we implemented the approach for two case studies as a functional demonstration.

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