Cumincad : CUMINCAD Papers : Search Results

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	ijac20097406
id	ijac20097406
authors	Hanafin, Stuart; Greg Pitts; Sambit Datta
year	2009
title	Non-Deterministic Exploration through Parametric Design
source	International Journal of Architectural Computing vol. 7 - no. 4, 605-622
summary	This paper explores non-deterministic parametric modelling as a design tool. Specifically, it addresses the application of parametric variables to the generation of a conceptual bridge design and the use of repeatable discrete components to the conceptual form. In order to control the generation of the bridge form, a set of design variables based on the concept of a law curve have been developed. These design variables are applied and tested through interactive modelling and variation, driven by manipulating the law curve. Combining this process with the application and control of a repeatable element, known as a Representative Volumetric Element (RVE), allows for the development and exploration of a design solution that could not be achieved through the use of conventional computer modelling. The competition brief for the Australian Institute of Architects (AIA) ‘Dialectical Bridge’ has been used as a case study to demonstrate the use of non-deterministic parametric modelling as a design tool. The results of the experimentation with parametric variables, the law curve and representative volumetric elements (RVE) are presented in the paper.
series	journal
last changed	2010/09/06 08:02

_id	ecaade2009_037
id	ecaade2009_037
authors	Hermund, Anders
year	2009
title	Building Information Modeling in the Architectural Design Phases: And why Compulsory BIM can Provoke Distress among Architects
source	Computation: The New Realm of Architectural Design [27th eCAADe Conference Proceedings / ISBN 978-0-9541183-8-9] Istanbul (Turkey) 16-19 September 2009, pp. 75-82
doi	https://doi.org/10.52842/conf.ecaade.2009.075
wos	WOS:000334282200008
summary	The overall economical benefits of Building Information Modeling are generally comprehensible, but are there other problems with the implementation of BIM as a formulized system in a field that ultimately is dependent on a creative input? Is optimization and economic benefit really contributing with an architectural quality? In Denmark the implementation of the digital working methods related to BIM has been introduced by government law in 2007. Will the important role of the architect as designer change in accordance with these new methods, and does the idea of one big integrated model represent a paradox in relation to designing? The BIM mindset requires changes on many levels.
keywords	BIM, Building Information Modeling, architectural technology, design approaches, mindset
series	eCAADe
email
last changed	2022/06/07 07:49

_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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