Artificial intelligence in assisting building deconstruction: a systematic literature review

Authors

DOI:

https://doi.org/10.11606/gtp.v20i1.231590

Keywords:

AI, Circular economy, end of life, ICT, BIM

Abstract

Building deconstruction can encourage the reuse of materials in new constructions, minimizing costs and reducing environmental degradation while aiming for a circular economy. However, implementing this concept still faces challenges, such as the need to optimize material sorting to reduce the time and cost of the process. In this regard, Artificial Intelligence (AI) can assist the deconstruction process as an efficient tool for improving productivity levels and resource management. Thus, this study proposes a systematic literature review to understand how the combination of AI with digital methodologies and technological tools can overcome barriers encountered in the building deconstruction process, presenting a more practical view of this integration. Thirteen publications were selected, covering the period from 2022 to 2024 and employing the PRISMA methodology. These studies highlighted the prominence of machine learning combined with Building Information Modeling (BIM) in addressing issues in the deconstruction field, particularly regarding material sorting. Specific gaps were identified and analyzed to propose an AI-based approaches aimed at solving critical issues in the deconstruction process, such as the evaluation of material mass.

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Author Biographies

  • Carolina Mendonça de Freitas Mendes de Souza, Universidade Federal do Rio de Janeiro

    Arquiteta e Urbanista Mestranda no Programa de Engenharia Civil (PEC/COPPE/UFRJ)

  • Bárbara dos Santos Rezende, Universidade Federal do Rio de Janeiro

    Arquiteta e Urbanista Mestranda no Programa de Engenharia Civil (PEC/COPPE/UFRJ)

  • Alexandre Santana Cruz, Universidade Federal do Rio de Janeiro

    Engenheiro Civil Doutorando no Programa de Pós-Graduação em Arquitetura (PROARQ/FAU/UFRJ)

  • Lucas Rosse Caldas, Universidade Federal do Rio de Janeiro

    Engenheiro Civil, Ambiental e Sanitarista Doutor em Engenharia Civil (PEC/COPPE/UFRJ). Professor no Programa de Pós-Graduação em Arquitetura (PROARQ/FAU/UFRJ) e no Programa de Engenharia Civil (PEC/COPPE/UFRJ).

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Published

2025-09-05

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Vol. 20 No. 1 (2025): Edição Especial: Qualidade do Projeto & Número regular: 1o semestre de 2025

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Copyright (c) 2025 Carolina Mendonça de Freitas Mendes de Souza, Bárbara dos Santos Rezende, Alexandre Santana Cruz, Lucas Rosse Caldas

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SOUZA, Carolina Mendonça de Freitas Mendes de; REZENDE, Bárbara dos Santos; CRUZ, Alexandre Santana; CALDAS, Lucas Rosse. Artificial intelligence in assisting building deconstruction: a systematic literature review. Gestão & Tecnologia de Projetos (Design Management and Technology), São Carlos, v. 20, n. 1, p. 21–47, 2025. DOI: 10.11606/gtp.v20i1.231590. Disponível em: https://revistas.usp.br/gestaodeprojetos/article/view/231590.. Acesso em: 5 jan. 2026.