| id |
acadia21_122 |
| authors |
Velikov, Kathy; Hasan, Kazi Najeeb; del Campo, Matias; Xie, Ruxin; Denit, Lucas; Boyce, Brent |
| year |
2021 |
| title |
Design Engine |
| source |
ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 122-133. |
| doi |
https://doi.org/10.52842/conf.acadia.2021.122
|
| summary |
Generative design offers the possibility to heuristically explore data-driven design iterations during the design process. This enables performance-informed feedback and the possibility for exploring viable options with stakeholders earlier in the design process. Since architectural design is a complex, nonlinear process that requires trade-offs and compromises among multiple requirements, many of which are in conflict with each other, a multi-objective solver provides a spectrum of possible solutions without converging on a single optimized individual. This enables a more informed design possibility space that is open to collaborative decision-making. This paper describes the development of a custom multi-objective generative design workflow to visualize families of possible future building typologies with a focus on the impact of site, form, envelope performance, and glazing. Three future design scenarios are generated for three urban U.S. locations projected to grow and where progressive environmental performance stretch codes have been adopted. Drivers such as plausible site, procurement, financing, value chain, and construction typology inform possibilities for built form, envelope technologies, and performance in relation to local codes, environment, and occupant health, are transformed into design inputs through urban, spatial and environmental simulation tools for a "building design generator," or a multi-objective optimizer tool that produces an array of possible building massing and schematic envelope design options. The paper concludes with pointing out some of the gaps in data of current evaluation tools, the need for interoperability across platforms, and this points to multiple trajectories of future research in this area. |
| series |
ACADIA |
| type |
paper |
| email |
kvelikov@umich.edu |
| full text |
 file.pdf (7,479,530 bytes) |
| references |
Content-type: text/plain
|
David Rutten (2013)
 Galapagos: On the Logic and Limits of Generic Solvers
, Architectural Design 83 (2): 132–135
|
|
|
|
|
John Frazer (1995)
An Evolutionary Architecture
, London: Architectural Association
|
|
|
|
|
John H. Holland (1975)
Adaptation in Natural and Artificial Systems
, Ann Arbor: University of Michigan
|
|
|
|
|
Luc Wilson, Jason Danforth, Carlos Cerezo Davila, and Dee Harvey (2019)
How to Generate a Thousand Master Plans: A Computational Framework for Urban Design
, SIMAUD '19: Proceedings of the Symposium on Simulation for Architecture and Urban Design. 113–120
|
|
|
|
|
Paul J. H. Schoemaker (1995)
Scenario Planning: A Tool for Strategic Thinking
, Sloan Management Review 36: 25–40
|
|
|
|
|
Robert Vierlinger (2013)
Multi-Objective Design Interface
, MSc diss., University of Applied Arts Vienna
|
|
|
|
|
Victoria Herrero-Garcia (2020)
Whole-building life cycle assessment: Comparison of available tools
, .Technology | Architecture + Design 4 (2): 248–252
|
|
|
|
| last changed |
2023/10/22 12:06 |
|
