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PDF papers
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
Details Citation Select
100%; open Mahdavi, A. and Gurtekin, B. (2001) Find in CUMINCAD 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

100%; open Mahdavi, A. and Gurtekin, B. (2002) Find in CUMINCAD Adventures in the design-performance space , European Meetings on Cybernetics and Systems Research Conference 2002, Vienna, April 2-5, 2002 (to appear)

100%; open Mahdavi, A., Brahme, R. and Mathew, P. (1996) Find in CUMINCAD The LEK-concept and its applicability for the energy analysis of commercial buildings , Building and Environment 31(5), pp 409-415

100%; open Markus, T.A. and Morris, E.N. (1980) Find in CUMINCAD Buildings, Climate and Energy , Pitman Publishing Limited, London

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