CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Disassembly and deconstruction analytics system (D-DAS) for construction in a circular economy
Authors
Anuoluwapo O. Ajayi
Lukman A. Akanbi
+6 more
Olugbenga O. Akinade
Muhammad Bilal
Juan Manuel Davila Delgado
Kamil Omoteso
Hakeem A. Owolabi
Lukumon O. Oyedele
Publication date
1 January 2019
Publisher
'Elsevier BV'
Doi
Cite
Abstract
© 2019 Despite the relevance of building information modelling for simulating building performance at various life cycle stages, Its use for assessing the end-of-life impacts is not a common practice. Even though the global sustainability and circular economy agendas require that buildings must have minimal impact on the environment across the entire lifecycle. In this study therefore, a disassembly and deconstruction analytics system is developed to provide buildings’ end-of-life performance assessment from the design stage. The system architecture builds on the existing building information modelling capabilities in managing building design and construction process. The architecture is made up of four different layers namely (i) Data storage layer, (ii) Semantic layer, (iii) Analytics and functional models layer and (iv) Application layer. The four layers are logically connected to function as a single system. Three key functionalities of the disassembly and deconstruction analytics system namely (i) Building Whole Life Performance Analytics (ii) Building Element Deconstruction Analytics and (iii) Design for Deconstruction Advisor are implemented as plug-in in Revit 2017. Three scenarios of a case study building design were used to test and evaluate the performance of the system. The results show that building information modelling software capabilities can be extended to provide a platform for assessing the performance of building designs in respect of the circular economy principle of keeping the embodied energy of materials perpetually in an economy. The disassembly and deconstruction analytics system would ensure that buildings are designed with design for disassembly and deconstruction principles that guarantee efficient materials recovery in mind. The disassembly and deconstruction analytics tool could also serve as a decision support platform that government and planners can use to evaluate the level of compliance of building designs to circular economy and sustainability requirements
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
UDORA - University of Derby Online Research Archive
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:repository.derby.ac.uk:927...
Last time updated on 15/06/2023
UWE Bristol Research Repository
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:uwe-repository.worktribe.c...
Last time updated on 08/06/2020