CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id ecaade2020_307
id ecaade2020_307
authors Caetano, Ines and Leitao, António
year 2020
title When the Geometry Informs the Algorithm - A hybrid visual/textual programming framework for facade design
source Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 371-380
doi https://doi.org/10.52842/conf.ecaade.2020.2.371
summary Facade design is becoming increasingly complex, forcing architects to more frequently resort to analysis and optimization processes. However, these processes are time-consuming and require the coordination of multiple tools. Algorithmic Design (AD) has the potential to overcome these limitations through the use of algorithms implemented in Textual Programming Languages (TPLs) or Visual Programming Languages (VPLs). VPLs are more used in architecture due to their smoother learning curve and user-friendliness, but TPLs are better suited than VPLs for handling complex AD problems. To make TPLs more appealing to architects, we incorporated VPLs' features in the textual paradigm, namely, Visual Input Mechanisms (VIMs). In this paper, we propose an extension to an existing AD framework for the design exploration, analysis, and optimization of facades to support a TPL-based approach that handles VIMs.
keywords Algorithmic Design; Facade Design; Textual Languages; Visual Input
series eCAADe
email
last changed 2022/06/07 07:54

_id caadria2020_391
id caadria2020_391
authors Caetano, Inês, Garcia, Sara, Pereira, Inês and Leitão, António
year 2020
title Creativity Inspired by Analysis - an algorithmic design system for designing structurally feasible façades
source D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 599-608
doi https://doi.org/10.52842/conf.caadria.2020.1.599
summary Although structural performance has a crucial role in the overall design, its analysis is often postponed to later design stages. This largely occurs because analysis processes are time consuming and require the use of specific models and tools. This problem is then aggravated by the number of design variations that have to be analysed until an acceptable solution is found. However, the implementation of design changes at later stages is limited, as also is their impact on the solution's final performance. Fortunately, with algorithmic design, we can overcome these limitations, as it not only supports complex designs and facilitates design changes, but also automates the production of the specific models and their subsequent analysis and optimization. In this research we focus on buildings façades, proposing an algorithmic design system to support their design, structural analysis, and optimization.
keywords Performance-based Design; Algorithmic Design; Algorithmic Structural Analysis; Algorithmic Optimization; Façade Design
series CAADRIA
email
last changed 2022/06/07 07:54

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