| id |
ecaadesigradi2019_110 |
| authors |
Bernal, Marcelo, Marshall, Tyrone, Okhoya, Victor, Chen, Cheney and Haymaker, John |
| year |
2019 |
| title |
Parametric Analysis versus Intuition - Assessment of the effectiveness of design expertise |
| doi |
https://doi.org/10.52842/conf.ecaade.2019.2.103
|
| source |
Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 103-110 |
| summary |
This paper explores through professional case studies how design solutions produced by expert teams compares to those developed through systematic parametric analysis. While the expert intuition of either single designer or teams helps to rapidly identify relevant aspects of the design problem and produce viable solutions, it has limitation to address multi-criteria design problems with conflicting objectives and searching for design alternatives. On the other hand, parametric analysis techniques in combination with data analysis methods helps to construct and analyze large design spaces of potential design solutions. For the purpose of this study, the specifications of geometric features and material properties of the building envelopes proposed by the expert design teams define the base line to measure the extent of the performance improvements of two typically conflicting objectives: Daylight quality and energy consumption. The results show consistently significant performance improvement after systematic optimization. |
| keywords |
Performance Analysis; Parametric Analysis; Design Space; Design Expertise; Optimization |
| series |
eCAADeSIGraDi |
| email |
|
| full text |
 file.pdf (1,411,120 bytes) |
| references |
Content-type: text/plain
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Bernal, M, Haymaker, JR and Eastman, C (2015)
 On the role of computational support for designers in action
, Design Studies, 41, pp. 163-182
|
|
|
|
|
Chlela, F, Husaunndee, A, Inard, C and Riederer, P (2009)
A new methodology for the design of low energy buildings
, Energy and Buildings, 41(9), pp. 982-990
|
|
|
|
|
Clevenger, CM and Haymaker, J (2011)
Metrics to assess design guidance
, Design Studies, 32(5), pp. 431-456
|
|
|
|
|
Cross, N (2004)
Expertise in design: an overview
, Design Studies, 25(5), pp. 427-441
|
|
|
|
|
Dreyfus, HL (1997)
Intuitive, deliberative, and calculative models of expert performance
, Naturalistic decision making, pp. 17-28
|
|
|
|
|
Hamby, D (1994)
A review of techniques for parameter sensitivity analysis of environmental models
, Environmental monitoring and assessment, 32(2), pp. 135-154
|
|
|
|
|
Haymaker, J, Bernal, M, Marshall, MT, Okhoya, V, Szilasi, A, Rezaee, R, Chen, C, Salveson, A, Brechtel, J and Deckinga, L (2018)
Design space construction: a framework to support collaborative, parametric decision making
, Journal of Information Technology in Construction (ITcon), 23(8), pp. 157-178
|
|
|
|
|
Kruger, C and Cross, N (2006)
Solution driven versus problem driven design: strategies and outcomes
, Design Studies, 27(5), pp. 527-548
|
|
|
|
|
Lawson, B and Dorst, K (2009)
Design expertise
, Recherche, 67, p. 02
|
|
|
|
|
Maher, M and Poon, J (1996)
Modeling Design Exploration as Co?Evolution
, Computer?Aided Civil and Infrastructure Engineering, 11(3), pp. 195-209
|
|
|
|
|
Oxman, R (2017)
Thinking difference: Theories and models of parametric design thinking
, Design Studies, 52, pp. 4-39
|
|
|
|
|
Roudsari, MS, Pak, M and Smith, A (2013)
Ladybug: a parametric environmental plugin for grasshopper to help designers create an environmentally-conscious design
, Proceedings of the 13th international IBPSA conference held in Lyon, France Aug
|
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| last changed |
2022/06/07 07:52 |
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