| id |
caadria2024_531 |
| authors |
Mottaghi, Esmaeil, Abuzuraiq, Ahmed M. and Erhan, Halil |
| year |
2024 |
| title |
D-Predict: Integrating Generative Design and Surrogate Modelling with Design Analytics |
| source |
Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 1, pp. 455–464 |
| doi |
https://doi.org/10.52842/conf.caadria.2024.1.455
|
| summary |
The increasing importance of performance prediction in architecture has driven designers to incorporate computational tools like generative design and building simulations to widen and guide their exploration. However, these tools pose their own challenges; specifically, simulations can be computationally demanding and generative design leads to large design spaces that are hard to navigate. To address those challenges, this paper explores integrating machine learning-based surrogate modelling, interactive data visualisations, and generative design. D-Predict, a prototype, features the generation, management and comparison of design alternatives aided with surrogate models of daylighting and energy. |
| keywords |
generative design, building performance assessment, surrogate modelling, machine learning, design analytics |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (1,434,035 bytes) |
| references |
Content-type: text/plain
|
Anton, I., & Tănase, D. (2016)
 DesignSense: A Visual Analytics Interface for Navigating Generated Design Spaces
, Energy Procedia, 85
|
|
|
|
|
Bernal, M., Marshall, T., Okhoya, V., Chen, C., & Haymaker, J. (2019)
Parametric Analysis versus Intuition - Assessment of the Effectiveness of Design Expertise
, eCAADe 2019: Architecture in the Age of the 4th Industrial Revolution
|
|
|
|
|
Brown, N., & Mueller, C. (2017)
Designing with Data: Moving beyond the design space catalog
, Proceedings Catalog of the 37th Annual ACADIA 2017 (pp. 154-163)
|
|
|
|
|
Chaszar, A., von Buelow, P., & Turrin, M. (2016)
Multivariate interactive visualization of data in generative design
, Proc. of SimAUD, 16
|
|
|
|
|
Erhan, H., Abuzuraiq, A., Zarei, M., AlSalman, O., Woodbury, R., & Dill, J. (2020)
What Do Design Data Say About Your Model? - A Case Study on Reliability and Validity
, Proceedings of the 25th CAADRIA Conference. pp. 557-567
|
|
|
|
|
Erhan, H., Chan, J., Fung, G., Shireen, N., & Wang, I. (2017)
Understanding Cognitive Overload in Generative Design - An Epistemic Action Analysis
, Protocols, flows and glitches. p 127Protocols, Flows, and Glitches, CAADRIA 2017
|
|
|
|
|
Garcia, S., & Leitao, A. (2022)
Navigating Design Spaces: Finding Designs, Design Collections, and Design Subspaces
, Int. J. of Architectural Computing, 20(2), 176-195
|
|
|
|
|
Garg, A., & Erhan, H. (2019)
Use of Data in Design Exploration: Design Analyzer
, J.-H. Lee (Ed.), Hello, Culture! (pp. 399-411). CUMINCAD
|
|
|
|
|
Hamby, D. M. (1994)
A Review of Techniques for Parameter Sensitivity Analysis of Environmental Models
, Environmental Monitoring and Assessment, 32(2), 135-154
|
|
|
|
|
Iyengar, K. (2015)
Sustainable Architectural Design: An Overview
, Routledge
|
|
|
|
|
Matejka, J., Glueck, M., Bradner, E., Hashemi, A., Grossman, T., & Fitzmaurice, G. (2018)
Dream Lens: Exploration and Visualization of Large-Scale Generative Design Datasets
, Proceedings of the Conf. on Human Factors in Comp. Sys. (pp. 1-12). ACM
|
|
|
|
|
Mohiuddin, A., Ashtari, N., & Woodbury, R. (2018)
Directly Interactive Design Gallery Systems: Interaction Terms and Concepts
, Comp. on Cultural V. and Heredity (pp. 15-32)
|
|
|
|
|
ostergArd, T., Jensen, R. L., & Maagaard, S. E. (2017)
Early Building Design: Informed Decision-Making by Exploring Multidimensional Design Space Using Sensitivity Analysis
, Energy and Buildings, 142, 8-22
|
|
|
|
|
Ritter, F., Geyer, P., & Borrmann, A. (2015)
Simulation-based Decision-making in Early Design Stages
, Proceedings of the 32nd International Conference of CIB W78, Eindhoven, The Netherlands, 27-29 October (pp. 657-666)
|
|
|
|
|
Sedlmair, M., Meyer, M., & Munzner, T. (2012)
Design Study Methodology: Reflections from the Trenches and the Stacks
, IEEE T. on Vis. and Comp. Grph., 18(12), 2431-2440
|
|
|
|
|
Shireen, N., Erhan, H., Woodbury, R., & Wang, I. (2017)
Making Sense of Design Space - What Designers Do with Large Numbers of Alternatives?, 17th Int
, CAAD Futures 2017
|
|
|
|
|
Shneiderman, B. (2007)
Creativity Support Tools - Accelerating Discovery and Innovation
, Communications of the ACM, 50, 20-32
|
|
|
|
|
Westermann, P., & Evins, R. (2019)
Design Explorer 2
, Energy and Buildings, 198, 170-186
|
|
|
|
|
Woodbury, R. (2010)
Net-Zero Navigator: A Platform for Interactive Net-Zero Building Design Using Surrogate Modelling
, London; New York, NY: Routledge
|
|
|
|
|
Yousif, S., & Bolojan, D. (2022)
Deep Learning-Based Surrogate Modeling for Performance-Driven Generative Design Systems
, Proc of the 27th CAADRIA (pp. 363-372)
|
|
|
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| last changed |
2024/11/17 22:05 |
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