authors |
Koutamanis, Alexander and Den Hartog, Peter |
year |
2001 |
title |
Simulation and representation. Learning from airflow analyses in buildings |
source |
Proceedings of the Ninth International Conference on Computer Aided Architectural Design Futures [ISBN 0-7923-7023-6] Eindhoven, 8-11 July 2001, pp. 657-666 |
summary |
The simulation of environmental aspects is a current priority in design research and practice. The availability of relatively efficient and reliable simulation systems and the emphasis on environmental aspects throughout a building’s lifecycle combine to stimulate exploration of aspects such as lighting and air quality by computational means. Nevertheless, a frequent complaint is that the addition of such simulations makes design information processing timeconsuming and cumbersome, thereby increasing uncertainty and indecision. Therefore, it is imperative that simulation is integrated in the strategies and tools normally used by the digitally-minded architect. In this respect a central issue is the relations between the simulation and the design representation used as connecting tissue for the whole design environment. Input of design information in the simulation means identification of relevant objects, aspects, parts and properties of these objects, as well as relationships between objects. The explicit description of objects such as spaces, doors and windows in the design representation allows for ready extraction of relevant information, including automatic recognition of relationships such as adjacency between a window and a space. The addition of information specific to the airflow analysis was resolved by the extension of the representation to cover front-end service components such as inlets and outlets and general properties (annotations) such as activities accommodated in a space and the primary choice of cooling and heating subsystems. The design representation is also the obvious target for the output of the simulation (feedback). Visualization of airflow in terms of the resulting voxels makes effortless and enjoyable viewing but merely allowing the visualization to coexist with the representation of spaces and building elements does not provide design guidance. One way of achieving that is by treating spaces not as integral entities but as containers of relevant surfaces. These surfaces determine the adaptive subdivision of the space and function as attractors for voxel clustering. |
keywords |
Simulation, Representation, Visualization |
series |
CAAD Futures |
email |
|
full text |
file.pdf (252,424 bytes) |
references |
Content-type: text/plain
|
Anderson, J.D. (1995)
Computational fluid dynamics; the basics with applications
, New York, McGraw-Hill
|
|
|
|
Hartog, J.P.d. and Koutamanis, A. (et al.) (1998)
Simulation and evaluation of environmental aspects throughout the design process
, 4th Design and Decision Support Systems in Architecture and Urban Planning Conference. Eindhoven
|
|
|
|
Hartog, J.P.d. and Koutamanis, A. (et al.) (2000)
Possibilities and limitations of CFD simulation for indoor climate analysis
, Design and decision support systems in architecture. Proceedings of the 5th International Conference. Eindhoven, Eindhoven University of Technology
|
|
|
|
Hartog, J.P.d. and Koutamanis, A. (2000)
Teaching design simulation
, D. Donath (ed.) Promise and reality. Weimar, eCAADe & Bauhaus-Universität Weimar
|
|
|
|
Koutamanis, A. (1993)
The future of visual design representations in architecture
, Automation in Construction 2(1): 47–56
|
|
|
|
Koutamanis, A. (1996)
Elements and coordinating devices in architecture: An initial formulation
, 3rd Design and Decision Support Systems in Architecture and Urban Planning Conference. Part One: Architecture Proceedings. Eindhoven
|
|
|
|
Koutamanis, A. (1997)
Multilevel representation of architectural designs
, R. Coyne, M. Ramscar, J. Lee and K. Zreik (eds.) Design and the net. Paris, Europia Productions
|
|
|
|
Koutamanis, A. (2000)
Digital architectural visualization
, Automation in Construction 9(4): 347-360
|
|
|
|
Koutamanis, A. and Mitossi, V. (1993)
Adding visual recognition to the capabilities of computer-aided design
, J.J. Connor, S. Hernandez, T.K.S. Murthy and H. Power (eds.) Visualization and intelligent design in engineering and architecture. London / Southampton, Elsevier / Computational Mechanics Publications
|
|
|
|
Koutamanis, A. and Mitossi, V. (2000)
On representation
, Design Systems Reports 2000(1): 74-82
|
|
|
|
Koutamanis, A. and Mitossi, V. (2000)
Grammatical and syntactic properties of CAAD representations for the early design stages
, Design and decision support systems in architecture. Proceedings of the 5th International Conference. Eindhoven, Eindhoven University of Technology
|
|
|
|
Mahdavi, A. and Suter, G. (1997)
On implementing a computational facade design support tool
, Environment and Planning B: Planning and Design 24: 493-503
|
|
|
|
Mahdavi, A. and. Mathew, P. (et al.) (1997)
Bi-directional computational design support in the SEMPER environment
, Automation in Construction 6: 353-373
|
|
|
|
Mitossi, V. and Koutamanis, A. (1998)
Spatial representations as the basis of formal and functional analysis
, 4th Design and Decision Support Systems in Architecture and Urban Planning Conference. Eindhoven
|
|
|
|
Nakayama, K. and He, Z.J. (et al.) (1995)
Visual surface representation: a critical link between lower-level and higher-level vision
, S. M. Kosslyn and D. N. Osherson (eds.) Visual congition. An invitation to cognitive science. 2nd ed. Cambridge, Massachusetts
|
|
|
|
Papamichael, K. and LaPorta, J. (et al.) (1997)
Building Design Advisor: automated integration of multiple simulation tools
, Automation in Construction 6(4 August): 341-352
|
|
|
|
Samet, H. (1990)
The design and analysis of spatial data structures
, Reading, Massachusetts, Addison-Wesley
|
|
|
|
Wendt, J.F. and Anderson, J.D. (et al.) (1996)
Computational fluid dynamics: an introduction
, Berlin New York, Springer
|
|
|
|
last changed |
2006/11/07 07:22 |
|