Cumincad : CUMINCAD Papers : Search Results

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	ecaade2018_310
id	ecaade2018_310
authors	Jabi, Wassim, Aish, Robert, Lannon, Simon, Chatzivasileiadi, Aikaterini and Wardhana, Nicholas Mario
year	2018
title	Topologic - A toolkit for spatial and topological modelling
doi	https://doi.org/10.52842/conf.ecaade.2018.2.449
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 449-458
summary	This paper describes non-manifold topology (NMT) as it relates to the field of architecture and presents Topologic, an open-source software modelling library enabling hierarchical and topological representations of architectural spaces, buildings and artefacts through NMT. Topologic is designed as a core library and additional plugins to visual data flow programming (VDFP) software. The software architecture and class hierarchy are explained and two domain-specific demonstrative tools (TopologicEnergy and TopologicStructure) are presented to illustrate how third-party software developers could use Topologic to build their own solutions. The paper concludes with a reflection on the benefits and limitations of NMT in the design and simulation workflows and outlines future work.
keywords	Non-manifold topology; Visual data flow programming; Building performance simulation; Structural analysis; Computational design; Building information modelling
series	eCAADe
email
last changed	2022/06/07 07:51

_id	ecaade2018_w02
id	ecaade2018_w02
authors	Jabi, Wassim and Aish, Robert
year	2018
title	Non-manifold Topology for Architectural and Engineering Modelling
doi	https://doi.org/10.52842/conf.ecaade.2018.1.057
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 57-60
summary	Non-manifold topology (NMT) allows the user to construct light-weight conceptual spatial architectural models which define the overall enclosure and the internal cellular division within that enclosure. The objective of this workshop is to give participants hands-on opportunities with a new software library that we have been developing under a research grant from the Leverhulme Trust. On the first day, the concepts of non-manifold topology will be introduced, including non-regular modelling operations. On the second day, we will introduce two plug-ins, which have been interfaced to our NMT tools: a) building energy simulation using OpenStudio and EnergyPlus and b) structural analysis software.
keywords	Non-manifold topology; Visual data flow programming; Building performance simulation; Computational design
series	eCAADe
email
last changed	2022/06/07 07:50

_id	acadia19_392
id	acadia19_392
authors	Steinfeld, Kyle
year	2019
title	GAN Loci
doi	https://doi.org/10.52842/conf.acadia.2019.392
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 392-403
summary	This project applies techniques in machine learning, specifically generative adversarial networks (or GANs), to produce synthetic images intended to capture the predominant visual properties of urban places. We propose that imaging cities in this manner represents the first computational approach to documenting the Genius Loci of a city (Norberg-Schulz, 1980), which is understood to include those forms, textures, colors, and qualities of light that exemplify a particular urban location and that set it apart from similar places. Presented here are methods for the collection of urban image data, for the necessary processing and formatting of this data, and for the training of two known computational statistical models (StyleGAN (Karras et al., 2018) and Pix2Pix (Isola et al., 2016)) that identify visual patterns distinct to a given site and that reproduce these patterns to generate new images. These methods have been applied to image nine distinct urban contexts across six cities in the US and Europe, the results of which are presented here. While the product of this work is not a tool for the design of cities or building forms, but rather a method for the synthetic imaging of existing places, we nevertheless seek to situate the work in terms of computer-assisted design (CAD). In this regard, the project is demonstrative of a new approach to CAD tools. In contrast with existing tools that seek to capture the explicit intention of their user (Aish, Glynn, Sheil 2017), in applying computational statistical methods to the production of images that speak to the implicit qualities that constitute a place, this project demonstrates the unique advantages offered by such methods in capturing and expressing the tacit.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:56

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