Supporting Exploration of Design Alternatives using Multivariate Analysis Algorithms

Supporting Exploration of Design Alternatives using Multivariate Analysis Algorithms

Sileryte, R. (TU Delft Design Informatics)
D'Aquilio, A. (TU Delft Design Informatics)
Di Stefano, D. (ESTECO SpA)
Yang, D. (TU Delft Design Informatics; South China University of Technology)
Turrin, M. (TU Delft Design Informatics; South China University of Technology)

Attar, Ramtin (editor)
Chronis, Angelos (editor)
Hanna, Sean (editor)
Turrin, Michela (editor)

2016

Parametric modelling allows quick generation of a large number of design alternatives. Ultimately, it can be combined with optimization algorithms for obtaining optimal performance-driven design. However, setup of design space for optimization is a very complex task requiring designer’s a priori knowledge and experience. Therefore, this paper focuses on the process that happens before the optimization. It proposes to use multivariate analysis algorithms for exploring and understanding the relations between various design parameters, after sampling the design space. Additionally, portrayal of geometry is
introduced as an extension of conventional visualization methods, which accounts for evaluation of ill-defined design criteria by using designer’s expertise. The proposed method is computationally efficient and integrated into an environment familiar to architects. It relies on multivariate analysis algorithms together with database querying capabilities and an interactive dashboard developed for geometry portrayal.

Design & Optimization
Design Computation
Multiobjective Optimization
Visual Analytics
Multivariate analysis
Design Exploration
Parametric Modelling

http://resolver.tudelft.nl/uuid:445f3832-f105-42fb-8562-5200fb1b1b4b

simAUD

978-1-365-05872-1

Proceedings of the Symposium on Simulation for Architecture and Urban Design (simAUD 2016)

SimAUD EU 2016: 7th annual Symposium on Simulation for Architecture and Urban Design, 2016-05-16 → 2016-05-18, London, United Kingdom

Institutional Repository

conference paper

© 2016 R. Sileryte, A. D'Aquilio, D. Di Stefano, D. Yang, M. Turrin