Skip to main content

Research Repository

Advanced Search

Waste minimisation through deconstruction: A BIM based Deconstructability Assessment Score (BIM-DAS)

Akinade, Olugbenga O.; Oyedele, Lukumon O.; Bilal, Muhammad; Ajayi, Saheed O.; Owolabi, Hakeem A.; Alaka, Hafiz A.; Bello, Sururah A.


Olugbenga Akinade
Associate Professor - AR/VR Development with Artificial Intelligence

Lukumon Oyedele
Professor in Enterprise & Project Management

Muhammad Bilal
Associate Professor - Big Data Application

Saheed O. Ajayi

Hakeem Owolabi
Associate Professor - Project Analytics and Digital Enterprise

Hafiz A. Alaka

Sururah A. Bello


© 2015 Elsevier B.V. The overall aim of this study is to develop a Building Information Modelling based Deconstructability Assessment Score (BIM-DAS) for determining the extent to which a building could be deconstructed right from the design stage. To achieve this, a review of extant literature was carried out to identify critical design principles influencing effectual building deconstruction and key features for assessing the performance of Design for Deconstruction (DfD). Thereafter, these key features were used to develop BIM-DAS using mathematical modelling approach based on efficient material requirement planning. BIM-DAS was later tested using case study design and the results show that the major contributing factors to DfD are use of prefabricated assemblies and demountable connections. The results of the evaluation demonstrate the practicality of BIM-DAS as an indicator to measure the deconstructability of building designs. This could provide a design requirement benchmark for effective building deconstruction. This research work will benefit all stakeholders in the construction industry especially those interested in designing for deconstruction. The eventual incorporation of BIM-DAS into existing BIM software will provide a basis for the comparison of deconstructability of building models during design.

Journal Article Type Article
Acceptance Date Oct 19, 2015
Online Publication Date Nov 14, 2015
Publication Date Dec 1, 2015
Deposit Date Feb 22, 2017
Publicly Available Date Feb 22, 2017
Journal Resources, Conservation and Recycling
Print ISSN 0921-3449
Electronic ISSN 1879-0658
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 105
Issue Part A
Pages 167-176
Keywords building information modelling, building deconstruction, design for deconstruction, demolition waste minimisation, design performance assessment, scoring scheme
Public URL
Publisher URL
Contract Date Feb 22, 2017