| id |
ecaade2023_238 |
| authors |
Titulaer, Rick, Nijenmanting, Filique and Vola, Mathew |
| year |
2023 |
| title |
Early-Stage Form-Finding for a Complex Urban High-Rise using an Informed Data-Driven Design Approach |
| source |
Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 1, Graz, 20-22 September 2023, pp. 211–220 |
| doi |
https://doi.org/10.52842/conf.ecaade.2023.1.211
|
| summary |
Every building project kicks off with set of client ambitions, a combination of unique and often complex site constraints, and a long list of regulatory requirements. The job as designers and engineers is to produce a design that marries the ambitions to the constraints whilst conforming to all the requirements as best as possible. The current design process is trial- and error based, time consuming, and highly iterative. Decision making is often only based on limited information leading to abortive work or suboptimal results. Using the newly developed tool called InForm, a data-driven design engine, allows the design team to de-risk their design process and find better solutions by embedding detailed and validated analysis into early-stage design. Using this engine, designers, engineers, and clients can collaborate in real time ensuring better decision making and finding the best fit compromised solution based on validated and well understood results. The benefits and challenges of this design approach are demonstrated through the case study of the Westblaaktoren (WBT), a large urban development for the city of Rotterdam. This case study demonstrates how thousands of potential designs have been generated and explored ahead of the conceptual design stage that have subsequently informed the design process and led to a validated and agreed result based on informed decision making. |
| keywords |
Data-driven Design, Form-Finding, Parametric Design, Urban High-Rise |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (2,476,684 bytes) |
| references |
Content-type: text/plain
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| last changed |
2023/12/10 10:49 |
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