| id |
ddssar0222 |
| authors |
Mahdavi, Ardeshir and Gurtekin, Beran |
| year |
2002 |
| title |
Shapes, Numbers, Perception: Aspects and Dimensions of the Design-Performance Space |
| source |
Timmermans, Harry (Ed.), Sixth Design and Decision Support Systems in Architecture and Urban Planning - Part one: Architecture Proceedings Avegoor, the Netherlands), 2002 |
| summary |
The design-performance space denotes a virtual space that can be constructed based on discretized design variables and performance indicators. For an n-dimensional design-performance space, n = d + p,whereby d = the number of discrete design variables, and p = the number of discrete performance indicators. Once constructed, this space can be visualized and used by the designer to explore the relationship between design variables and corresponding performance attributes. We present, for the building design domain, an approach to generation and exploration of the design-performance space. In this approach, an initial design is used to generate a set of alternative designs that collectively constitutethe design space. One way of doing this relies on the "scalarization" of design variables. The scalarization leads to the representation of a building as a point in a d-dimensional design space. Each coordinate ofsuch a space accommodates a salient (semantic or geometric) design variable. Subsequently, the entire corpus of design alternatives is subjected to performance modeling. Based on the modeling results, an ndimensionaldesign-performance space is constructed. We specifically address the potential for and limitations of describing building geometry in terms of a continuous scalar dimension of the design space. We introduce the concept of "Relative Compactness", which is derived by comparing the volume tosurface area ratio of a shape to that of a (compact) reference shape with the same volume. We present the results of an empirical study, which shows a significant correlation between the numeric values of relativecompactness and the subjective evaluation of the compactness of architectural shapes. |
| keywords |
Buildings, design, performance, simulation, geometry |
| series |
DDSS |
| full text |
 file.pdf (182,158 bytes) |
| references |
Content-type: text/plain
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Mahdavi, A. and Gurtekin, B. (2001)
 Computational support for the generation and exploration of the design-performance space
, Proceedings of IBPSA Conference, Rio de Janeiro, Brazil, August 13-15 2001, pp 669-676
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Mahdavi, A. and Gurtekin, B. (2002)
Adventures in the design-performance space
, European Meetings on Cybernetics and Systems Research Conference 2002, Vienna, April 2-5, 2002 (to appear)
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Mahdavi, A., Brahme, R. and Mathew, P. (1996)
The LEK-concept and its applicability for the energy analysis of commercial buildings
, Building and Environment 31(5), pp 409-415
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Markus, T.A. and Morris, E.N. (1980)
Buildings, Climate and Energy
, Pitman Publishing Limited, London
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| last changed |
2003/08/07 16:36 |
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