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

PDF papers
References

Hits 1 to 3 of 3

Reformat results as: short short into frame detailed detailed into frame

_id	caadria2019_664
id	caadria2019_664
authors	Zhou, Yifan, Zhang, Liming, Wang, Xiang, Chen, Zhewen and Yuan, Philip F.
year	2019
title	Exploration of Computational Design and Robotic Fabrication with Wire-Arc Additive Manufacturing Techniques
doi	https://doi.org/10.52842/conf.caadria.2019.1.143
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 143-152
summary	This paper discussed the exploration of computational design and robotic fabrication with Wire-Arc Additive Manufacturing techniques in a robotic metal printing workshop in Digital Futures 2018. Based on the previous research on structural-performance based design and robotic fabrication, this year's workshop mainly focused on the Wire-Arc Additive Manufacturing techniques and its possible outcomes. A prototype chair was tested for preparation. And the final target of the workshop was to build a bridge about 11m across the river. Through this metal printed bridge project, several computational optimization methods were applied to fulfill the final design. And Wire-Arc Additive Manufacturing techniques with robotic fabrication were carried out during the fabrication process.
keywords	computational design; robotic fabrication; wire-arc additive manufacturing techniques
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	ecaade2018_315
id	ecaade2018_315
authors	Koehler, Daniel, Abo Saleh, Sheghaf, Li, Hua, Ye, Chuwei, Zhou, Yaonaijia and Navasaityte, Rasa
year	2018
title	Mereologies - Combinatorial Design and the Description of Urban Form.
doi	https://doi.org/10.52842/conf.ecaade.2018.2.085
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. 85-94
summary	This paper discusses the ability to apply machine learning to the combinatorial design-assembly at the scale of a building to urban form. Connecting the historical lines of discrete automata in computer science and formal studies in architecture this research contributes to the field of additive material assemblies, aggregative architecture and their possible upscaling to urban design. The following case studies are a preparation to apply deep-learning on the computational descriptions of urban form. Departing from the game Go as a testbed for the development of deep-learning applications, an equivalent platform can be designed for architectural assembly. By this, the form of a building is defined via the overlap between separate building parts. Building on part-relations, this research uses mereology as a term for a set of recursive assembly strategies, integrated into the design aspects of the building parts. The models developed by research by design are formally described and tested under a digital simulation environment. The shown case study shows the process of how to transform geometrical elements to architectural parts based merely on their compositional aspects either in horizontal or three-dimensional arrangements.
keywords	Urban Form; Discrete Automata ; Combinatorics; Part-Relations; Mereology; Aggregative Architecture
series	eCAADe
email
last changed	2022/06/07 07:51

_id	ecaade2018_158
id	ecaade2018_158
authors	Zhou, Jing, Klumpner, Hubert and Brillembourg, Afredo
year	2018
title	The Dynamic Geometric Network Model for Representing Verticalized Urban Environment and its Generation
doi	https://doi.org/10.52842/conf.ecaade.2018.1.525
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. 525-530
summary	Against the background of urbanization and the fast growth of population in big cities, there will be more and more high-rises emerged in the future. In some big cities, the various layers of public transpiration networks such as metro systems also played an essential role in the urban life. In the verticalized urban environment, the complexity of the multi-layers space system connected by various horizontal and vertical connections have been beyond people's cognition. The boundaries between private space and public space, outdoor-space and indoor-space have already blurred. The graph theory based urban spatial analysis approaches are adopted in urban studies to tackle with the urban complexity issues. However, at present, most of the methods proposed are specializing in open urban spaces, and they cannot describe the three-dimensional completely and accurately. Therefore, in this paper, a new graph theory based representation method, the Dynamic Geometric Network Model, which adapted to the verticalized urban environment will be proposed. And the approach of how to automatically generate such a representation model according to the urban layout will also be introduced.
keywords	Graph Model Representation; Graph Model Generation; Verticalized Urban Environment
series	eCAADe
email
last changed	2022/06/07 07:57

No more hits.