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	ascaad2023_009
id	ascaad2023_009
authors	Song, Yang
year	2023
title	AR + DESIGN: An Experiment in Remote Teaching and Practice using Augmented Reality for Interactive Brick-based Structure Design
source	C+++: Computation, Culture, and Context – Proceedings of the 11th International Conference of the Arab Society for Computation in Architecture, Art and Design (ASCAAD), University of Petra, Amman, Jordan [Hybrid Conference] 7-9 November 2023, pp. 950-962.
summary	Due to the COVID-19 breakout and its epidemic prevention restrictions, remote communication has become one of the critical solutions that almost every industry is exploring in this post-epidemic era. Likewise, architectural practitioners also look at remote possibilities for current design methods. This paper presents a unique experimental research using augmented reality (AR) immersion technology for interactive brick-based structure design to explore a remote design method overlayed on the spatial context in the architectural draft visualisation and modification stages. It discusses the teaching process and practice outcomes from an online workshop, which is conceptualised to allow participants to learn, master, and apply the proposed remote design method in AR for brick-based structures. For this online workshop, we enrich the current parametric design method to an AR-assisted way for remote possibilities. The employed workflow was driven by an instant connection between 3D modelling software (Rhinoceros 3D), the parametric design plugin (Grasshopper), and the AR immersion plugin (Fologram). This experiment explored and validated the possibility of remote teaching and practice in architectural design education for post-epidemic era requirements.
series	ASCAAD
email
last changed	2024/02/13 14:34

_id	ecaade2023_74
id	ecaade2023_74
authors	Agkathidis, Asterios, Jourdan, David, Song, Yang, Kanmani, Arathi and Thomas, Ansha
year	2023
title	Four-Dimensional Printing on Textiles Evaluating Digital File-to-Fabrication Workflows for Self-Forming Composite Shell Structures
doi	https://doi.org/10.52842/conf.ecaade.2023.1.491
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. 491–498
summary	This design-led research investigates the development of self-forming wearable composite structures by printing embossed patterns out of flexible filament on pre-stretched textiles and releasing the stress after the printing has been completed, whereby time becomes the fourth dimension of the printing process. In particular, the study presents and compares three methods of ‘file-to-fabrication’ techniques for generating self-forming textile shell structures: The first is based on modified geometrical patterns in relation to curvature analysis, the second on printed patterns related to their stress line simulation and the third on an analysis of the anisotropic shrinking behaviour of stripe patterns. The findings emphasize the advantages and challenges of each method as well as present a comparative table chart highlighting the relationship between material properties, pattern geometry and the formal vocabulary of the composite shells.
keywords	4D printing, additive manufacturing, textile wearables, digital materiality
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ecaade2023_422
id	ecaade2023_422
authors	Amtsberg, Felix, Yang, Xiliu, Skoury, Lior, Sousa Calepso, Aimée, Sedlmair, Michael, Wortmann, Thomas and Menges, Achim
year	2023
title	Multi-Actor Fabrication for Digital Timber Construction
doi	https://doi.org/10.52842/conf.ecaade.2023.1.417
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. 417–426
summary	The research presented in this paper focusses on the prefabrication of wood building systems using human craft and robotic machines as equal actors in collaborative fabrication processes. It uses self-developed components such as a data managing framework system to generate and exchange fabrication data between the design elements and the fabrication environment. Human robot collaboration via augmented reality (AR) technology is facilitated through a software framework and applied in the prefabrication of timber structures. Based on previous research, this iteration uses the concept of multi-actor fabrication and extends the number of human actors in the fabrication process. A case study was conducted for the collaborative fabrication of a timber structure. Five actors (four humans and one 7-axis robotic system) received instructions based on their individual skill set and collectively manufactured a timber structure in an organized workflow.
keywords	Human-Robot Collaboration, Augmented Reality, Multi-Actor Fabrication, Timber Construction
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ecaade2023_387
id	ecaade2023_387
authors	Huang, Sheng-Yang, Llabres-Valls, Enriqueta, Tabony, Aiman and Castillo, Luis Carlos
year	2023
title	Damascus House: Exploring the connectionist embodiment of the Islamic environmental intelligence by design
doi	https://doi.org/10.52842/conf.ecaade.2023.2.871
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. 871–880
summary	Past studies have demonstrated that connectionist artificial intelligence (AI) has superior capabilities for style-based generative design because it automatically searches, extracts, and applies features according to the data-represented probabilistic profile of an architectural style. To further navigate its architectural affordance, this practice-led research project explores employing connectionist artificial intelligence to produce Islamic-style architectural forms that have historically revealed environmental intelligence by embedding sociocultural factors in response to the physical and human environmental design heritage. The project applies the Pix2Pix model and inverts the logic of some existing studies to predict the building plans from daylight maps. Use multi-objective optimisation algorithms to iteratively optimise factors such as building porosity, spatial quality, and microclimate, and use it as a condition to apply a Pix2Pix to generate a corresponding porosity model that is parametrised for the further design process. The model was trained on 120 augmented, paired images based on the 30 selected examples of Islamic architecture from the Damascus Atlas to capture the relationship between the massing distribution of walls and the arrangement of major elements in an Islamic courtyard house and its thermal performance. This study seeks to test if connectionist AI can be used as a generative design tool to understand the historical development of spatial relationships in Islamic courtyard houses. It focuses on non-repetitive style metrics, embedding physical and cultural factors into data representation. The resulting environmentally intelligent model adapts to the context, with optimisation being a pragmatic design guide rather than the ultimate goal. Although the inference is based on objective probabilistic facts, the influence of the informational framework interpreted by the designers must be acknowledged.
keywords	Connectionist Artificial Intelligence, Digital Design, Environmental Intelligence, Islamic Architecture, Style-based Generative Design
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ecaade2023_156
id	ecaade2023_156
authors	Luo, Ruizhe, Zhang, Xingzhao, Yang, Luqiao, Yang, Ruyi, Zhang, Fazhuo, Zhang, Ding, Huang, Chenyu and Yao, Jiawei
year	2023
title	Predicting the Environmental Effects of Urban Morphology and Greenery Using Deep Generative Models
doi	https://doi.org/10.52842/conf.ecaade.2023.2.307
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 2, Graz, 20-22 September 2023, pp. 307–316
summary	The increasing urbanization process has led to greater thermal stress on pedestrians, and greenery arrangement can provide an effective mitigation strategy. However, evaluating the environmental impact of different urban morphologies and greenery arrangements using traditional methods requires time-consuming simulations. To address this challenge, we utilized a deep generative model to predict outdoor environmental indicators influenced by greenery and urban morphology. By creating a dataset of Universal Thermal Climate Index, wind speed, temperature, mean radiant temperature, and relative humidity from Envi-met simulations of three building morphologies with randomly distributed greenery arrangements, we found that Building Shadow Exposure (BSE) and Frontal Area Index, as well as BSE and Porosity, had strong interactions. Our study demonstrates that a pix2pix model trained on this dataset can accurately predict the outdoor environment in seconds (R2 > 0.80), making it a promising tool for sustainable urban planning. Thus, our research suggests that deep generative models can accelerate simulation processes and enable more comprehensive studies to support sustainable urban planning in the future.
keywords	Outdoor Environment, Urban Greenery, Urban Morphology, Deep Generative Model
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ecaade2023_150
id	ecaade2023_150
authors	Song, Yongjun, Lee, Jin, Yang, Hongju, Byeon, Yongje and Hong, Seung Wan
year	2023
title	Effects of a Visual Perception-Equipped Fire Evacuee Simulation on the Design Trade-Offs in Students’ Architectural Projects
doi	https://doi.org/10.52842/conf.ecaade.2023.2.259
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 2, Graz, 20-22 September 2023, pp. 259–268
summary	Architectural education aims to enhance students’ ability to decide on design trade-offs between safety and other building performance factors, but empirical explorations continue to lack valid exploratory methods. To overcome this shortcoming, we investigated the effects of agent-based simulation on students’ design trade-offs between safety and other building performances, such as daylighting and construction costs. To this end, we developed a visual perception-equipped evacuee behavioural model that incorporated responses to building layouts and fire circumstances, including smoke and sprinkler operations. In five building information modelling (BIM)-based empirical design projects, the simulation enabled students’ systematic examination and explicit data-driven trade-offs by providing both quantifiable analytics and representing the responsive behaviours of evacuees under fire circumstances. Compared to norm- and regulation-based extrapolation, the simulation also allowed students to conduct trade-offs easily and decide valid alternatives, with high fulfilment of design intention. We also found that the unexpected behaviours of fire evacuees, such as bottleneck inside smoke and affordance exploration, also influenced students’ trade-offs and decision-making. In this paper, we address the applicability that visual perception-equipped evacuee simulation is a potentially viable method for inclusion in architectural design pedagogy.
keywords	Human behaviour simulation, Visual perception-equipped evacuee agents, Design trade-offs, Safety and quantifiable building performances, Architectural design education
series	eCAADe
email
last changed	2023/12/10 10:49

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