Work

IFC-based automated deconstructability analysis with market data integration through knowledge graphs

Year: 2026

Type: article

Abstract: Deconstruction is vital for circular economy implementation in the construction sector, yet thin profit margins stifle its large-scale adoption. Consequently, deconstruction demands rigorous and data-driven planning. While Building Information Modeling (BIM) can serve this purpose, its readiness for deconstruction remains limited. This paper introduces DeconPlanner , a system that integrates Knowledge Graphs (KGs) and Industry Foundation Classes (IFC) to support digitally enabled deconstruction planning through two modules: an inference-based module that semantically enriches BIM with deconstruction sequencing; and an AI-powered market integration module that semantically enhances BIM by establishing semantic links between facility inventory and potential downstream stakeholders. Validation through a real-world case study demonstrated high performance for dependency inference (96.6% precision; 97.3% recall) and market integration (99.4% precision; 94% recall). Additionally, expert interviews confirmed the system's practicality and industry relevance. The findings demonstrate this framework's potential to reduce information fragmentation and establish the semantic foundation for future performance-based deconstruction workflows.

Source: Automation in Construction

DOI: 10.1016/j.autcon.2026.107219

Authors: Amr S. Allam, Mazdak Nik-Bakht

Institution: Concordia University

Language: English

Topic: BIM and Construction Integration

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Responsible consumption and production, Sustainable cities and communities

Open Access status: hybrid

Estimated APC paid: $5,490