Institutional Research Information Service
UCL Logo
Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to your Research Finance Administrator. Your can find your Research Finance Administrator at http://www.ucl.ac.uk/finance/research/post_award/post_award_contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:

Email: portico-services@ucl.ac.uk

Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Publication Detail
A dependency network description of building information models
  • Publication Type:
  • Authors:
    Al-Sayed K, Bew M, Penn A
  • Publisher:
    ICE Publishing
  • Publication date:
  • Place of publication:
    Cambridge, UK
  • Published proceedings:
    Transforming the future of infrastructure through smarter information: Proceedings of the international conference on smart infrastructure and construction
  • Editors:
    Mair RJ,Soga K,Jin Y,Parlikad AL,Schooling JM
  • ISBN-13:
  • Status:
  • Name of conference:
    International Conference on Smart Infrastructure and Construction (ICSIC)
  • Conference place:
    Cambridge, UK
  • Conference start date:
  • Conference finish date:
  • Language:
  • Keywords:
    BIM, dependency networks
The pervasive deployment of “smart building” projects world-wide is driving innovation on many fronts including; technology, telematics, engineering and entrepreneurship. This paper focuses on the technical and engineering perspectives of BIM, by extending building morphology studies as to respond to the challenges posed by Big Data, and smart infrastructure. The proposed framework incorporates theoretical and modelling descriptions to verify how network-based models can act as the backbone skeletal representation of building complexity, and yet relate to environmental performance and smart infrastructure. The paper provides some empirical basis to support data information models through building dependency networks as to represent the relationships between different existing and smart infrastructure components. These dependency networks are thought to inform decisions on how to represent building data sets in response to different social and environmental performance requirements, feeding that into void and solid descriptions of data maturity models. It is concluded that network-based models are fundamental to comprehend and represent the complexity of buildings and inform architectural design and public policy practices, in the design and operation phases of infrastructure projects.
Publication data is maintained in RPS. Visit https://rps.ucl.ac.uk
 More search options
UCL Researchers
The Bartlett School of Architecture
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by