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CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	506b
id	506b
authors	Christenson, Mike
year	2009
title	Testing the relevance of parameterization to architectural epistemology
source	Architectural Science Review, Volume 52.2: 135-141
summary	Advances in building information modeling (BIM) deeply impact the production of new architecture; its benefits are obvious and its acceptance widespread. But how does BIM impact the study of existing architecture? Can BIM be assumed to operate as a neutral framework, equally applicable to the study of architecture anywhere? Using as a point of departure a recent outline of the conceptual structure of parametric modeling prepared by Sacks, Eastman, and Lee (2004), this paper compares parametric models of two existing works of architecture: Mies van der Rohe’s Crown Hall and Peter Zumthor’s St. Benedict Chapel. The processes of parametrically modeling each building are specifically compared in two ways: first, parameters are established for each model; second, each model is "flexed" as a means of disclosing possible semantic relationships within each work of architecture. Because each building demands a different parameter-establishment strategy, and because the models permit different degrees of flexibility, the comparison illustrates the shortcomings of a "neutral framework" assumption to an architectural epistemology.
keywords	Existing architecture, Parametric modeling, Representation
series	journal paper
type	normal paper
email
more	http://www.earthscanjournals.com/asre/052/asre0520135.htm
last changed	2009/06/18 14:24

_id	cf2011_p060
id	cf2011_p060
authors	Sheward, Hugo; Eastman Charles
year	2011
title	Preliminary Concept Design (PCD) Tools for Laboratory Buildings, Automated Design Optimization and Assessment Embedded in Building Information Modeling (BIM) Tools.
source	Computer Aided Architectural Design Futures 2011 [Proceedings of the 14th International Conference on Computer Aided Architectural Design Futures / ISBN 9782874561429] Liege (Belgium) 4-8 July 2011, pp. 451-476.
summary	The design of laboratory buildings entails the implementation of a variety of design constraints such as building codes; design guidelines and technical requirements. The application of these requires from designers the derivation of data not explicitly available at early stages of design, at the same time there is no precise methodology to control the consistency, and accuracy of their application. Many of these constraints deal with providing secure environmental conditions for the activities inside laboratories and their repercussions both for the building occupants and population in general, these constraints mandate a strict control over the building‚Äôs Mechanical Equipment (MEP), in particular the Heating Ventilating and Air Conditioning (HVAC) system. Due to the importance of these laboratory designers are expected to assess their designs not only according spatial relationships, but also design variables such as HVAC efficiency, air pressure hierarchies, operational costs, and the possible implications of their design decisions in the biological safety of the facility. At this point in time, there are no practical methods for making these assessments, without having constant interaction with HVAC specialists. The assessment of laboratory design variables, particularly those technical in nature, such as dimensioning of ducts or energy consumption are usually performed at late stages of design. They are performed by domain experts using data manually extracted from design information, with the addition of domain specific knowledge, the evaluation is done mostly through manual calculations or building simulations. In traditional practices most expert evaluations are performed once the architectural design have been completed, the turn around of the evaluation might take hours or days depending on the methods used by the engineer, therefore reducing the possibility for design alternatives evaluation. The results of these evaluations will give clues about sizing of the HVAC equipment, and might generate the need for design reformulations, causing higher development costs and time delays. Several efforts in the development of computational tools for automated design evaluation such as wheel chair accessibility (Han, Law, Latombe, Kunz, 2002) security and circulation (Eastman, 2009), and construction codes (ww.Corenet.gov.sg) have demonstrated the capabilities of rule or parameter based building assessment; several computer applications capable of supporting HVAC engineers in system designing for late concept or design development exist, but little has been done to assess the capabilities of computer applications to support laboratory design during architectural Preliminary Concept Design(PCD) (Trcka, Hensen, 2010). Developments in CAD technologies such as Building Information Modeling (BIM) have opened doors to formal explorations in generative design using rule based or parametric modeling [7]. BIM represents buildings as a collection of objects with their own geometry, attributes, and relations. BIM also allows for the definition of objects parametrically including their relation to other model objects. BIM has enabled the development of automated rule based building evaluation (Eastman, 2009). Most of contemporary BIM applications contemplate in their default user interfaces access to design constraints and object attribute manipulations. Some even allow for the application of rules over these. Such capabilities make BIM viable platforms for automation of design data derivation and for the implementation of generative based design assessment. In this paper we analyze the possibilities provided by contemporary BIM for implementing generative based design assessment in laboratory buildings. In this schema, domain specific knowledge is embedded in to the BIM system as to make explicit design metrics that can help designers and engineers to assess the performance of design alternatives. The implementation of generative design assessments during PCD can help designers and engineers to identify design issues early in the process, reducing the number of revisions and reconfigurations in later stages of design. And generally improving design performance.
keywords	Heating ventilating and Air Conditioning (HVAC), Building Information Models (BIM), Generative Design Assessment
series	CAAD Futures
email
last changed	2012/02/11 19:21

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