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Article

Development of a 3D Digital Model of End-of-Service-Life Buildings for Improved Demolition Waste Management through Automated Demolition Waste Audit

by
Muhammad Omer
1,
Yong C. Wang
1,*,
Mikel Quintana Roma
2,
Stanislav Bedrich
3,
Václav Nežerka
4,
Juan Ferriz-Papi
5,
Jesus J. Moros Montanes
2 and
Ines Diez Ortiz
2
1
Department of Engineering, University of Manchester, Manchester, M13 9PL, UK
2
Tecnalia, Astondo Bidea, Edificio 700, 48160 Derio, Biscay, Spain
3
Strabag a.s. Prague, 158 00 Prague, Czech Republic
4
Faculty of Civil Engineering, Czech Technical University in Praha, Jugoslávských partyzánů 1580, 160 00 Praha 6, Czech Republic
5
School of Science, Engineering and Environment, University of Salford, Salford, M5 2WT, UK
*
Author to whom correspondence should be addressed.
Environments 2024, 11(7), 138; https://doi.org/10.3390/environments11070138 (registering DOI)
Submission received: 1 May 2024 / Revised: 21 June 2024 / Accepted: 24 June 2024 / Published: 29 June 2024

Abstract

This paper presents the development of a 3D digital model of end-of-service-life buildings to facilitate a step change in preparation of pre-demolition protocols that can eliminate problems of inadequate documentation and extensive time spent in preparing pre-demolition audits. The 3D digital model consists of the following four main components: (i) digitization of paper-based drawings and their conversion to CAD; (ii) automated generation of a 3D digital model from CAD; (iii) corrections to the 3D digital model to account for changes in the lifetime of a building; (iv) a sub-model for performing pre-demolition audit. This paper proposes the innovative approaches of incorporating a minimal amount of human intervention to overcome numerous difficulties in automated drawing analysis, application of augmented reality (AR) in corrections to the 3D digital model, and data compatibility for pre-demolition audit. These processes are demonstrated using one building as case study. Using the digital model, a pre-demolition audit can be prepared in minutes rather than the many days required in current practice without a digital model. The accurate quantification of the quantities and locations of different demolition waste materials and products in buildings to be demolished will enable a systematic and quantitative evaluation of potentials of material and product reuse and eliminate contamination of different demolition waste streams (which may contain hazardous waste), which is the main cause of environmental degradation and downcycling of demolition waste materials.
Keywords: construction and demolition waste; digital modeling; artificial intelligence; augmented reality; pre-demolition audit; end-of-service-life building; circular economy; sustainable demolition construction and demolition waste; digital modeling; artificial intelligence; augmented reality; pre-demolition audit; end-of-service-life building; circular economy; sustainable demolition

Share and Cite

MDPI and ACS Style

Omer, M.; Wang, Y.C.; Quintana Roma, M.; Bedrich, S.; Nežerka, V.; Ferriz-Papi, J.; Moros Montanes, J.J.; Diez Ortiz, I. Development of a 3D Digital Model of End-of-Service-Life Buildings for Improved Demolition Waste Management through Automated Demolition Waste Audit. Environments 2024, 11, 138. https://doi.org/10.3390/environments11070138

AMA Style

Omer M, Wang YC, Quintana Roma M, Bedrich S, Nežerka V, Ferriz-Papi J, Moros Montanes JJ, Diez Ortiz I. Development of a 3D Digital Model of End-of-Service-Life Buildings for Improved Demolition Waste Management through Automated Demolition Waste Audit. Environments. 2024; 11(7):138. https://doi.org/10.3390/environments11070138

Chicago/Turabian Style

Omer, Muhammad, Yong C. Wang, Mikel Quintana Roma, Stanislav Bedrich, Václav Nežerka, Juan Ferriz-Papi, Jesus J. Moros Montanes, and Ines Diez Ortiz. 2024. "Development of a 3D Digital Model of End-of-Service-Life Buildings for Improved Demolition Waste Management through Automated Demolition Waste Audit" Environments 11, no. 7: 138. https://doi.org/10.3390/environments11070138

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