Structural sustainability appraisal in BIM

The provision of Application Programming Interface (API) in BIM-enable tools can contribute to facilitating BIM-related research. APIs are useful links for running plug-ins and external programmes but they are yet to be fully exploited in expanding the BIM scope. The modelling of n-Dimensional (nD)...

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Bibliographic Details
Published inAutomation in construction Vol. 69; pp. 44 - 58
Main Authors Oti, A.H., Tizani, W., Abanda, F.H., Jaly-Zada, A., Tah, J.H.M.
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.09.2016
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Summary:The provision of Application Programming Interface (API) in BIM-enable tools can contribute to facilitating BIM-related research. APIs are useful links for running plug-ins and external programmes but they are yet to be fully exploited in expanding the BIM scope. The modelling of n-Dimensional (nD) building performance measures can potentially benefit from BIM extension through API implementations. Sustainability is one such measure associated with buildings. For the structural engineer, recent design criteria have put great emphasis on the sustainability credentials as part of the traditional criteria of structural integrity, constructability and cost. This paper examines the utilization of API in BIM extension and presents a demonstration of an API application to embed sustainability issues into the appraisal process of structural conceptual design options in BIM. It concludes that API implementations are useful in expanding the BIM scope. Also, the approach including process modelling, algorithms and object-based instantiations demonstrated in the API implementation can be applicable to other nD building performance measures as may be relevant to the various professional platforms in the construction domain. •API applications to augment BIM capabilities•BIM-based integrated structural sustainability appraisal system•Identification of desirable structural solution among alternatives•Directions for similar implementation approaches for nD modelling
ISSN:0926-5805
DOI:10.1016/j.autcon.2016.05.019