The language of design resolution in a digital building information model Chan, W. and Dawson, Anthony 2004, The language of design resolution in a digital building information model, in Contexts of architecture : proceedings of the 38th Annual Conference of the Architectural Science Association ANZAScA and the International Building Performance Simulation Association, University of Tasmania, Launceston, Tas., pp. 98-104. Attached Files Name Description MIMEType Size Downloads Title The language of design resolution in a digital building information model Author(s) Chan, W. Dawson, Anthony Conference name Architectural Science Association ANZAScA and the International Building Performance Simulation Association. Conference (38th : 2004 : Launceston, Australia) Conference location Launceston, Australia Conference dates 10-12 November 2004 Title of proceedings Contexts of architecture : proceedings of the 38th Annual Conference of the Architectural Science Association ANZAScA and the International Building Performance Simulation Association Editor(s) Zbigniew, Bromberek Publication date 2004 Conference series Architectural Science Association ANZAScA and the International Building Performance Simulation Association Conference Start page 98 End page 104 Publisher University of Tasmania Place of publication Launceston, Tas. Summary Information in construction industry is delivered and interpreted in a language specific to the industry in which large complex objects are only partially described and with much information being implicit in the language used. Successful communication therefore relies on participants in the industry leaming how to interpret the language through many years of education, training and experience. With the introduction of computer technology, and in particular the detailed digital building information model (DB 1M), the accepted language currently in use is no longer a valid method of describing the building. At all stages in the paper based design and documentation process it is generally readily apparent which parts of the design require further completion and which are fully resolved. This is able to be achieved through the complex graphical language currently in use. In the DBIM, all information appears at the same level of resolution making difficult the interpretation of implicit information embedded in the model. This compromises the collaborative design environment which is being described as a fundamental characteristic of the future construction industry. This paper focuses on two areas. The first analyses design resolution and the role uncertain information plays in the design process. It then discusses the manner in which designers and the industry in general deal with incomplete or unresolved information. The second describes a theoretical model in which a design resolution (DR) environment incorporates the level of design resolution as an operable element in a collaborative DBIM. The development and implementation of this model will allow designers to better share, understand and interpret design knowledge from the shared information during the various stages of digital design and before full resolution is achieved. ISBN 1862951683 Language eng Field of Research 120299 Building not elsewhere classified Socio Economic Objective 970112 Expanding Knowledge in Built Environment and Design HERDC Research category E1 Full written paper - refereed Copyright notice ©2004 Persistent URL http://hdl.handle.net/10536/DRO/DU:30005521 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Architecture and Built Environment   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 16 Feb 2009, 13:43:57 EST Mon, 19 Apr 2010, 10:25:33 EST Mon, 10 May 2010, 12:08:09 EST Mon, 10 May 2010, 12:09:40 EST Mon, 03 Jun 2013, 16:38:14 EST Tue, 11 Jun 2013, 15:41:45 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 509 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Mon, 07 Jul 2008, 09:50:45 EST

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