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 20 of 1609

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

_id	ecaade2023_71
id	ecaade2023_71
authors	Austern, Guy, Yosifof, Roei and Fisher-Gewirtzman, Dafna
year	2023
title	A Dataset for Training Machine Learning Models to Analyze Urban Visual Spatial Experience
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. 781–790
doi	https://doi.org/10.52842/conf.ecaade.2023.2.781
summary	Previous studies have described the effects of urban attributes such as the Spatial Openness Index (SOI) on pedestrians’ experience. SOI uses 3-dimensional ray casting to quantify the volume of visible space from a single viewpoint. The higher the SOI value, the higher the perceived openness and the lower the perceived density. However, the ray casting simulation on an urban-sized sampling grid is computationally intensive, making this method difficult to use in real-time design tools. Convolutional Neural Networks (CNN), have excellent performance in computer vision in image processing applications. They can be trained to predict the SOI analysis for large urban fabrics in real-time. However, these supervised learning models need a substantial amount of labeled data to train on. For this purpose, we developed a method to generate a large series of height maps and SOI maps of urban fabrics in New York City and encoded them as images using colour information. These height map - SOI analysis image pairs can be used as training data for a CNN to provide rapid, precise visibility simulations on an urban scale.
keywords	Visibility Analysis, Machine Learning, CNN, Perceived Density
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ecaade2023_125
id	ecaade2023_125
authors	Baºarir, Lale, Çiçek, Selen and Koç, Mustafa
year	2023
title	Demystifying the patterns of local knowledge: The implicit relation of local music and vernacular architecture
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. 791–800
doi	https://doi.org/10.52842/conf.ecaade.2023.2.791
summary	As the zeitgeist suggests, the development of novel design output using Artificial Neural Networks (ANNs) is becoming an important milestone in the architectural design discourse. With the recent encounter of the computational design realm with the diffusion models, it becomes even easier to generate 2D and 3D design outputs. Yet, the utilization of machine learning tools within design computing domains is confined to generating or classifying visual and encoded data. However, it is critical to evaluate the untapped potentials of machine learning technologies in terms of illuminating the implicit correlations and links underlying distinct concepts and themes across a wide range of technical domains. With the ongoing research project named “Local Intelligence", we hypothesized that the local knowledge of a certain location might be conceptualized as a distributed network to connect different forms of local knowledge. As the first case of the project, we tried to reinstate a commonality between the local music and vernacular architecture, for which we trained generative adversarial network (GAN) models with the visual spectrograms translated from the audio data of the local songs and images of vernacular architectural instances from a defined geography. The two multi-modal GAN models differ in terms of the inherent convolutional layers and data pairing process. The outcomes demonstrated that both GAN models can learn how to depict vernacular architectural features from the rhythmic pattern of the songs in various patterns. Consequently, the implicit relations between music and architecture in the initial findings come one step closer to being demystified. Thus, the process and generative outcomes of the two models are compared and discussed in terms of the legibility of the architectural features, by taking the original vernacular architectural image dataset as the ground truth.
keywords	Local Intelligence, Machine Learning, Generative Adversarial Network (GAN), Local Music, Vernacular Architecture
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ijac202321309
id	ijac202321309
authors	Carta, Silvio; Tommaso Turchi; Luigi Pintacuda; Ljubomir Jankovic
year	2023
title	RECOMM. Measuring resilient communities: An analytical and predictive tool
source	International Journal of Architectural Computing 2023, Vol. 21 - no. 3, 536–560
summary	We present initial findings of our project RECOMM: an analytical tool that evaluates the resilience of urban areas. The tool utilises Deep Neural Networks to identify characteristics of resilience and assigns a resilience score to different urban areas based on the proximity to certain features such as green spaces, buildings, natural elements and infrastructure. The tool also identifies which urban morphological factors have the greatest impact on resilience. The method uses Convolutional Neural Networks with the Keras library on Tensorflow for calculations and the results are displayed in an online demo built with Node.js and React.js. This work contributes to the analysis and design of sustainable cities and communities by offering a tool to assess resilience through urban form
keywords	Sustainable cities and communities, resilient communities, CNN, urban morphology
series	journal
last changed	2024/04/17 14:30

_id	caadria2023_384
id	caadria2023_384
authors	Dong, Jiahua, Jiang, Qingrui, Wang, Anqi and Wang, Yuankai
year	2023
title	Urban Cultural Inheritance: Generative Adversarial Networks (GANs) Assisted Street Facade Design in Virtual Reality (VR) Environments Based on Hakka Settlements in Hong Kong
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 473–482
doi	https://doi.org/10.52842/conf.caadria.2023.1.473
summary	In Hong Kong, the Hakka settlements are the home of indigenous people who have been involved in agriculture and fishing for over 200 years, which has a special place in Hong Kong’s history. However, these settlements are gradually being abandoned as ghost towns due to rapid urbanisation, where the city is progressively constructing high-density habitats to accommodate the exponentially increased population since the 1950s. This challenges designers to rethink means of preserving urban cultural heritage, while engaging in continuous urban regeneration processes. This study investigates workflows to detect historical building styles in one of the most densely-populated cities in the world - Hong Kong - that further deployed in human-computer interfaces in the virtual reality (VR) environment as a collaborative and suggestive design -107958641080
keywords	Urban Culture Inheritance, Hakka Settlements, Facade Generation, Human-Computer Interaction (HCI), Virtual Reality (VR)
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	caadria2023_197
id	caadria2023_197
authors	Yousif, Shermeen, Akyuz, Yagmur, Giffoni, Luisa and Craven, Matthew
year	2023
title	Incorporating Physical Experimentation Into Creative Dl-Driven Design Space Exploration
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 99–108
doi	https://doi.org/10.52842/conf.caadria.2023.1.099
summary	In the context of ongoing research on incorporating deep learning (DL) strategies in architecture, this paper proposes a proof of concept, for developing a viable DL-driven design workflow with multiple connected DL models that enable various levels of agency. The approach allows design intentions to manifest systematically throughout the process, through identifying the ways of dataset curation, DL models' selection and connection. Importantly, in parallel to the interconnected DL models, a series of physical experiments were conducted for dataset augmentation and evaluation, and to inform the overall process. The formulated system involved protocols where multiple DL models are employed and interconnected to address specific architectural systems and design tasks. Applying this prototype, a test-case experiment was carried out with a parallel logic of the two processes: (1) a physical experiment (material research) and (2) the DL-driven process (a combination of multiple neural networks), incorporated into the design workflow. The physical experiment was directed at learning from fungal natural systems (mycelium) to understand growth behavior and its physical qualities, which influenced the DL testing and evaluation.
keywords	Full Paper, Deep Learning, DL-Driven Design Workflow, Connected DL Models, Encoding Design Agency
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	caadria2023_161
id	caadria2023_161
authors	Zhao, Mingming, Ding, Cao and Crossley, Tatjana
year	2023
title	Integration of EEG and Deep Learning on Design Decision-Making: A Data-Driven Study of Perception in Immersive Virtual Architectural Environments
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 89–98
doi	https://doi.org/10.52842/conf.caadria.2023.1.089
summary	Immersive virtual reality(IVR) as an emerging architectural design tool is utilized by many architecture firms to assist in better design decision-making. It allows users to immersively experience the simulated architectural environment prior to real construction. However, compared to conventional computational design tools, IVR faces more challenges in assessing the perception of designed simulations and visualizations. This paper attempts to examine the possibilities for incorporating human biological data and deep learning technology into the process of immersive visualization in architectural design. It aims to objectively understand human perception in an immersive virtual architectural environment, and ultimately assist in design decision-making and human-centered architectural design. The study proposes a novel and multidisciplinary use of techniques derived from psychology, computer science, and architecture disciplines to explore how biological data might be understood architecturally and vice versa. It also provides an opportunity to explore ways of using IVR-based computational design in the new metaverse era. The experiment results illustrate that there is a significant correlation between environmental experience and brain activation. It indicates the integration of EEG and deep learning is helpful to perform as complementary tools for better understanding human perception in immersive virtual architectural environments.
keywords	Architectural Design Decision-Making, Eye Tracking, Electroencephalogram(EEG), Convolutional Neural Networks(CNN), Virtual Reality(VR)
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	cdrf2023_102
id	cdrf2023_102
authors	Alberto Fernandez González, Nikoletta Karastathi
year	2023
title	Threading Cellular Architecture Geometries
source	Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
doi	https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_9
summary	In the massive computer architecture known as cellular automata (CA), finite-state machines, also known as finite-state automata, are arranged in a discontinuous network that permits local interactions between neighbors. As self-organizing artificial systems, such as neural networks and genetic algorithms, developed from vast systems formed with essential elements and just local interactions, CA is mainly related to artificial intelligence (AI) (a seed interacts with its own neighbors, which are usually just the cells closer to the seed as an activator). In order to produce architectural spaces of various sizes, this research develops digital experiments that analyze the interactions between environmental conditions as input, CA as generator/propagator, and geometrical emergent patterns from knitting and weaving processes as translators/mediators. This method functions as a bottom-up strategy in which information from the environment can influence the activation and deactivation of rules, theoretically fostering a reprogrammable structure that can evolve.
series	cdrf
email
last changed	2024/05/29 14:04

_id	acadia23_v1_136
id	acadia23_v1_136
authors	Alima, Natalia
year	2023
title	InterspeciesForms
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 1: Projects Catalog of the 43rd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 136-143.
summary	The hybridization of architectural, biological and robotic agencies Situated in the field of architectural biodesign, InterspeciesForms explores a closer relationship between the fungus Pleurotus ostreatus and the designer in the creation of form. The intention of hybridizing mycelia’s agency of growth with architectural design intention is to generate novel, non-indexical crossbred designed outcomes that evolve preconceived notions of architectural form. Mycelium are threadlike fibrous root systems made up of hyphae, that form the vegetative part of a fungus (Jones 2020). Known as the hackers of the wood wide web (Simard 1997) mycelia form complex symbiotic relationships with other species that inhabit our earth. Michael Lim states “Fungi redefine resourcefulness, collaboration, resilience and symbiosis” (Lim 2022, p. 14). When wandering around the forest to connect with other species or searching for food, fungi form elaborate and entangled networks by spreading their hyphal tips. Shown in Figure 1, this living labyrinth results in the aesthetic formation of an intricate web. Due to the organisms ability to determine the most effective direction of growth, communicate with its surrounding ecosystem, and connect with other species, fungi are indeed an intelligent species with a unique aesthetic that must not be ignored. In drawing on these concepts, I refer to the organism’s ability to search for, tangle, and digest its surroundings as ‘mycelia agency of growth’. It is this specific behavioral characteristic that is the focus of this research, with which I, as the architect, set out to co-create and hybridize with.
series	ACADIA
type	project
email
last changed	2024/04/17 13:58

_id	ascaad2023_075
id	ascaad2023_075
authors	Aljhadali, Abdulrahman; Megahed, Yasser; Gwilliam, Julie
year	2023
title	Artificial Intelligence (AI) and Machine Learning (ML) in Practice: A Comprehensive Investigation into the Utilization of Generative Artificial Intelligence (AI) and Machine Learning (ML) in Architectural Practice
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. 324-343.
summary	This study offers a comprehensive investigation into the utilization of artificial intelligence (AI) and machine learning (ML) technologies within architectural practices. Since the introduction of computer-aided design (CAD), technology has had a significant impact on the way architects conduct their work. This study explores the potential of AI/ML in actual architectural workflows, with a particular emphasis on the capacity of deep neural networks to assist in the design process.The outcome will help to develop a clearer picture of the opportunities and barriers associated with AI for architects; they will also inform the prioritization of focus for future development of this technology in architectural practice, as well as identifying the specific tasks and project phases in which ML could play a role. This research reviewed literature to explore various approaches for applying AI/ML technologies within the field of architecture. Also , complemented by a number of interviews to investigate the ways in which participants are currently using AI/ML in their work, framing the current feedback and the future potential of AI/ML technologies in architecture. The data collection methods adopted involved semi-structured one-on-one interviews with professionals from multi-regional architecture firms and AI developers. The architects interviewed exhibited diverse ways of benefiting from AI/ML technology, with varying approaches and some common trends. The findings demonstrate that AI has played a pivotal role in expediting the design process and enhancing visualization within the field. However, it has also raised concerns, particularly in the realm of privacy.
series	ASCAAD
email
last changed	2024/02/13 14:40

_id	ecaade2023_51
id	ecaade2023_51
authors	Aman, Jayedi, Kim, Jong Bum and Verniz, Debora
year	2023
title	AI-Integrated Urban Building Energy Simulation: A framework to forecast the morphological impact on daylight availability
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. 369–378
doi	https://doi.org/10.52842/conf.ecaade.2023.2.369
summary	The research presents a computational framework to investigate the relationship between urban morphology and environmental performance metrics of buildings. Understanding how buildings interact with their surroundings is crucial in optimizing environmental performance. Current urban building energy simulation methods (UBES) often overlook the complex interaction between urban morphology and environmental performance across a diverse set of attributes, resulting in inaccuracies. The proposed framework integrates machine learning (ML) with physics-based simulations and includes Parametric Building Information Modeling, iterative physics-based simulations, Multi-Objective Optimization, and a graph neural network. The framework leverages the detailed analysis capabilities of physics-based simulations and the data processing strengths of ML to analyze urban morphological attributes. Evaluations indicate that the framework enhances prediction accuracy while considering the influence of urban morphology on environmental performance.
keywords	Urban Morphology, Urban Building Energy Modeling, Graph Neural Networks, Sustainable Urban Development, Environmental Performance, Multi-objective Optimization
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ijac202321413
id	ijac202321413
authors	Ayoub, Mohammed
year	2023
title	Estimating the received solar irradiances by traditional vaulted roofs using optimized neural networks and transfer learning
source	International Journal of Architectural Computing 2023, Vol. 21 - no. 4, 795-820
summary	Traditional vaulted roof-forms have long been utilized in hot-desert climate for better indoor environmental quality. Unprecedently, this research investigates the possible contribution of machine learning to estimate the received solar irradiances by those roofs, based on simulation-derived training and testing datasets, where two algorithms were used to reduce their higher-dimensionality. Then, four models of ordinary least-squares and artificial neural networks were developed. Their ability to accurately estimate solar irradiances was confirmed, with R2 of 95.599–98.794% and RMSE of 12.437–23.909 Wh/m2. Transfer Learning was also applied to pass the stored knowledge of the best-performing model into another one for estimating the performance of new roof-forms. The results demonstrated that transferred models could provide better estimations with R2 of 87.416–97.889% and RMSE of 79.300–13.971 Wh/m2, compared to un-transferred models. Machine learning shall redefine the practice of building performance, providing architects with flexibility to rapidly make informed decisions during the early design stages.
keywords	Solar irradiance, prediction, simulation, machine learning, transfer learning
series	journal
last changed	2024/04/17 14:30

_id	caadria2023_60
id	caadria2023_60
authors	Bai, Zishen and Peng, Chengzhi
year	2023
title	Convolutional Neural Network (CNN) Supported Urban Design to Reduce Particle Air Pollutant Concentrations
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 505–514
doi	https://doi.org/10.52842/conf.caadria.2023.1.505
summary	PM2.5 has become a significant factor contributing to the haze outbreak in mainland China, which has negative impacts for public health. The current agility of CFD-based modelling to reveal in real-time the changes in PM2.5 concentrations in response to (proposed) changes in urban form limits its practical applications in the design processes. To support urban design for better air quality (AQ), this study presents a machine learning approach to test: (1) that the spatial distribution of PM2.5 concentrations measured in an urban area reflects the area’s capacity to disperse particle air pollution; (2) that the PM2.5 concentration measurements can be linked to certain urban form attributes of that area. A Convolutional Neural Network algorithm called Residual Neural Network (ResNet) was trained and tested using the ChinaHighPM2.5 and urban form datasets. The result is a ResNet-AQ predictor for the city centre area in Beijing which had one of the highest air pollution levels within the Beijing-Tianjin-Hebei region. The urban area covered by the ResNet-AQ predictor contains 4,000 grid cells (approx. 25.3 km x 25.3 km), of which 1,200 (30%) cells were selected randomly for testing. The ResNet-AQ prediction accuracy achieved 87.3% after 100 iterations. An end-use scenario is presented to show how a social housing project can be supported by the AQ predictor to achieve better urban air quality performance.
keywords	PM2.5, urban form indicators, image classification, Convolutional Neural Network, open urban data
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	ecaaderis2023_34
id	ecaaderis2023_34
authors	Daleyev, Dalel, Rasoulzadeh, Shervin, Kilian, Martin, Raffaelli, Matteo, Hartmann, Dominik and Kovacic, Iva
year	2023
title	A Novel Approach of Structural Modeling, Analysis and Optimization of Bearing Parts in Free-Formed Arc-Like Geometry Reconstructed from 4D Sketches
source	De Luca, F, Lykouras, I and Wurzer, G (eds.), Proceedings of the 9th eCAADe Regional International Symposium, TalTech, 15 - 16 June 2023, pp. 69–78
summary	Sketching is often used as the main approach in design of free-formed structures in very early stages of planning. Chosen materials for bearing and non-bearing parts and results of structural analysis can decisively affect the shape and form of planned geometry. The structural modelling, following finite element (FE) analysis and structural design can be very time-consuming due to still weakly regulated building information modelling (BIM) data exchange of free-formed structures. This paper describes a novel approach of structural modelling, analysis, and multi-objective optimization (MOO) of bearing elements of free-formed geometry sketched within a developed 4D semantic, mixed reality application MRSketch. The shapes of individual elements are computed from the recovered curve network and comprising boundary curves, aiming for smooth transitions and less deviation to the sketched strokes. The focus of this paper lays on the test case in which a free-form voluminous arc-like structure (similar to BUGA pavilion) has been thoroughly sketched in MRSketch. The computed geometry of the above-mentioned form is used for the structural analysis and MOO, whereby 3 different material and structure types are studied: monolithic concrete shell, plywood timber panels, and steel framework. The MOO process takes place with the goal of minimizing used material masses and de-flection of the structure. The ultimate and serviceability limit state´s (ULS and SLS) criteria acc. to Eurocodes represent MOO-constraints. Lastly, a large-scale estimate of the CO2 balance of the 3 above-mentioned construction´s variants is compiled and compared.
keywords	Concept Design, Curve Networks, Parametric Modeling, Structural Optimization, Numerical Optimization
series	eCAADe
email
last changed	2024/02/05 14:28

_id	acadia23_v3_19
id	acadia23_v3_19
authors	Dickey, Rachel
year	2023
title	Material Interfaces
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 3: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-1-0]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 24-32.
summary	Based on our current daily rate, 85,410 hours is the average amount of time that an adult in the United States will spend on their phone in a lifetime (Howarth 2023). This is time spent texting, tweeting, emailing, snapping, chatting, posting, and interacting with an interface which each of us carry in our pocket. Kelly Dobson explains, “We psychologically view the cell phone as an extension of our bodies, which is why when you accidentally forget it or leave it behind you feel you have lost apart of yourself” (2013). In reality, this device is just one of many technologies which affect our relationship with our bodies and the physical world. Additionally, Zoom meetings, social media networks, on-line shopping, and delivery robots, all increasingly detach our bodies and our senses from our everyday experiences and interactions. In response to digital culture, Liam Young writes, “Perhaps the day will come when we turn off our target ads, navigational prompts, Tinder match notifications, and status updates to find a world stripped bare, where nothing is left but scaffolds and screens” (2015). Make no mistake; the collection of projects shared in these field notes is intended to be a counterpoint to such a prophesied future. However, the intent is not to try to compete with technology, but rather, to consider the built environment itself as an interface, encouraging interaction through feedback and responsivity directly related to human factors, finding ways to re-engage the body through design.
series	ACADIA
type	field note
email
last changed	2024/04/17 13:59

_id	ecaade2023_000
id	ecaade2023_000
authors	Dokonal, Wolfgang, Hirschberg, Urs and Wurzer, Gabriel
year	2023
title	eCAADe 2023 Digital Design Reconsidered - Volume 1
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, 905 p.
doi	https://doi.org/10.52842/conf.ecaade.2023.1.001
summary	The conference logo is a bird’s eye view of spiral stairs that join and separate – an homage to the famous double spiral staircase in Graz, a tourist attraction of this city and a must-see for any architecturally minded visitor. Carved out of limestone, the medieval construction of the original is a daring feat of masonry as well as a symbolic gesture. The design speaks of separation and reconciliation: The paths of two people that climb the double spiral stairs separate and then meet again at each platform. The relationship between architectural design and the growing digital repertoire of tools and possibilities seems to undergo similar cycles of attraction and rejection: enthusiasm about digital innovations – whether in Virtual Reality, Augmented Reality, Energy Design, Robotic Fabrication, the many Dimensions of BIM or, as right now, in AI and Machine Learning – is typically followed by a certain disillusionment and a realization that the promises were somewhat overblown. But a turn away from these digital innovations can only be temporary. In our call for papers we refer to the first and second ‘digital turns’, a term Mario Carpo coined. Yes, it’s a bit of a pun, but you could indeed see these digital turns in our logo as well. Carpo would probably agree that design and the digital have become inseparably intertwined. While they may be circling in different directions, an innovative rejoinder is always just around the corner. The theme of the conference asked participants to re-consider the relationship between Design and the Digital. The notion of a cycle is already present in the syllable “re”. Indeed, 20 years earlier, in 2003, we held an ECAADE conference in Graz simply under the title “Digital Design” and our re-using – or is it re-cycling? – the theme can be seen as the completion of one of those cycles described above: One level up, we meet again, we’ve come full circle. The question of the relationship between Design and the Digital is still in flux, still worthy of renewed consideration. There is a historical notion implicit in the theme. To reconsider something, one needs to take a step back, to look into the past as well as into the future. Indeed, at this conference we wanted to take a longer view, something not done often enough in the fast-paced world of digital technology. Carefully considering one’s past can be a source of inspiration. In fact, the double spiral stair that inspired our conference logo also inspired many architects through the ages. Konrad Wachsmann, for example, is said to have come up with his famous Grapevine assembly system based on this double spiral stair and its intricate joinery. More recently, Rem Koolhaas deemed the double spiral staircase in Graz important enough to include a detailed model of it in his “elements of architecture” exhibition at the Venice Biennale in 2014. Our interpretation of the stair is a typically digital one, you might say. First of all: it’s a rendering of a virtual model; it only exists inside a computer. Secondly, this virtual model isn’t true to the original. Instead, it does what the digital has made so easy to do: it exaggerates. Where the original has just two spiral stairs that separate and join, our model consists of countless stairs that are joined in this way. We see only a part of the model, but the stairs appear to continue in all directions. The implication is of an endless field of spiral stairs. As the 3D model was generated with a parametric script, it would be very easy to change all parameters of it – including the number of stairs that make it up. Everyone at this conference is familiar with the concept of parametric design: it makes generating models of seemingly endless amounts of connected spiral stairs really easy. Although, of course, if we’re too literal about the term ‘endless’, generating our stair model will eventually crash even the most advanced computers. We know that, too. – That's another truth about the Digital: it makes a promise of infinity, which, in the end, it can’t keep. And even if it could: what’s the point of just adding more of the same: more variations, more options, more possible ways to get lost? Doesn’t the original double spiral staircase contain all those derivatives already? Don’t we know that ‘more’ isn’t necessarily better? In the original double spiral stair the happy end is guaranteed: the lovers’ paths meet at the top as well as when they exit the building. Therefore, the stair is also colloquially known as the Busserlstiege (the kissing stair) or the Versöhnungsstiege (reconciliation stair). In our digitally enhanced version, this outcome is no longer clear: we can choose between multiple directions at each level and we risk losing sight of the one we were with. This is also emblematic of our field of research. eCAADe was founded to promote “good practice and sharing information in relation to the use of computers in research and education in architecture and related professions” (see ecaade.org). That may have seemed a straightforward proposition forty years ago, when the association was founded. A look at the breadth and depth of research topics presented and discussed at this conference (and as a consequence in this book, for which you’re reading the editorial) shows how the field has developed over these forty years. There are sessions on Digital Design Education, on Digital Fabrication, on Virtual Reality, on Virtual Heritage, on Generative Design and Machine Learning, on Digital Cities, on Simulation and Digital Twins, on BIM, on Sustainability, on Circular Design, on Design Theory and on Digital Design Experimentations. We hope you will find what you’re looking for in this book and at the conference – and maybe even more than that: surprising turns and happy encounters between Design and the Digital.
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ecaade2023_001
id	ecaade2023_001
authors	Dokonal, Wolfgang, Hirschberg, Urs and Wurzer, Gabriel
year	2023
title	eCAADe 2023 Digital Design Reconsidered - Volume 2
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, 899 p.
doi	https://doi.org/10.52842/conf.ecaade.2023.2.001
summary	The conference logo is a bird’s eye view of spiral stairs that join and separate – an homage to the famous double spiral staircase in Graz, a tourist attraction of this city and a must-see for any architecturally minded visitor. Carved out of limestone, the medieval construction of the original is a daring feat of masonry as well as a symbolic gesture. The design speaks of separation and reconciliation: The paths of two people that climb the double spiral stairs separate and then meet again at each platform. The relationship between architectural design and the growing digital repertoire of tools and possibilities seems to undergo similar cycles of attraction and rejection: enthusiasm about digital innovations – whether in Virtual Reality, Augmented Reality, Energy Design, Robotic Fabrication, the many Dimensions of BIM or, as right now, in AI and Machine Learning – is typically followed by a certain disillusionment and a realization that the promises were somewhat overblown. But a turn away from these digital innovations can only be temporary. In our call for papers we refer to the first and second ‘digital turns’, a term Mario Carpo coined. Yes, it’s a bit of a pun, but you could indeed see these digital turns in our logo as well. Carpo would probably agree that design and the digital have become inseparably intertwined. While they may be circling in different directions, an innovative rejoinder is always just around the corner. The theme of the conference asked participants to re-consider the relationship between Design and the Digital. The notion of a cycle is already present in the syllable “re”. Indeed, 20 years earlier, in 2003, we held an ECAADE conference in Graz simply under the title “Digital Design” and our re-using – or is it re-cycling? – the theme can be seen as the completion of one of those cycles described above: One level up, we meet again, we’ve come full circle. The question of the relationship between Design and the Digital is still in flux, still worthy of renewed consideration. There is a historical notion implicit in the theme. To reconsider something, one needs to take a step back, to look into the past as well as into the future. Indeed, at this conference we wanted to take a longer view, something not done often enough in the fast-paced world of digital technology. Carefully considering one’s past can be a source of inspiration. In fact, the double spiral stair that inspired our conference logo also inspired many architects through the ages. Konrad Wachsmann, for example, is said to have come up with his famous Grapevine assembly system based on this double spiral stair and its intricate joinery. More recently, Rem Koolhaas deemed the double spiral staircase in Graz important enough to include a detailed model of it in his “elements of architecture” exhibition at the Venice Biennale in 2014. Our interpretation of the stair is a typically digital one, you might say. First of all: it’s a rendering of a virtual model; it only exists inside a computer. Secondly, this virtual model isn’t true to the original. Instead, it does what the digital has made so easy to do: it exaggerates. Where the original has just two spiral stairs that separate and join, our model consists of countless stairs that are joined in this way. We see only a part of the model, but the stairs appear to continue in all directions. The implication is of an endless field of spiral stairs. As the 3D model was generated with a parametric script, it would be very easy to change all parameters of it – including the number of stairs that make it up. Everyone at this conference is familiar with the concept of parametric design: it makes generating models of seemingly endless amounts of connected spiral stairs really easy. Although, of course, if we’re too literal about the term ‘endless’, generating our stair model will eventually crash even the most advanced computers. We know that, too. – That's another truth about the Digital: it makes a promise of infinity, which, in the end, it can’t keep. And even if it could: what’s the point of just adding more of the same: more variations, more options, more possible ways to get lost? Doesn’t the original double spiral staircase contain all those derivatives already? Don’t we know that ‘more’ isn’t necessarily better? In the original double spiral stair the happy end is guaranteed: the lovers’ paths meet at the top as well as when they exit the building. Therefore, the stair is also colloquially known as the Busserlstiege (the kissing stair) or the Versöhnungsstiege (reconciliation stair). In our digitally enhanced version, this outcome is no longer clear: we can choose between multiple directions at each level and we risk losing sight of the one we were with. This is also emblematic of our field of research. eCAADe was founded to promote “good practice and sharing information in relation to the use of computers in research and education in architecture and related professions” (see ecaade.org). That may have seemed a straightforward proposition forty years ago, when the association was founded. A look at the breadth and depth of research topics presented and discussed at this conference (and as a consequence in this book, for which you’re reading the editorial) shows how the field has developed over these forty years. There are sessions on Digital Design Education, on Digital Fabrication, on Virtual Reality, on Virtual Heritage, on Generative Design and Machine Learning, on Digital Cities, on Simulation and Digital Twins, on BIM, on Sustainability, on Circular Design, on Design Theory and on Digital Design Experimentations. We hope you will find what you’re looking for in this book and at the conference – and maybe even more than that: surprising turns and happy encounters between Design and the Digital.
series	eCAADe
type	normal paper
email
last changed	2024/08/29 08:36

_id	sigradi2023_387
id	sigradi2023_387
authors	Dong, Jiahua, Lin, Shuiyang and van Ameijde, Jeroen
year	2023
title	Predicting Network Integration Based on Satellite Imagery Around High-Density Public Housing Estates Through Machine Learning
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 795–806
summary	In studies focusing on environmental and health aspects of urban planning, the integration of road networks within the built environment emerges as an important metric for assessing the livability and healthiness of neighborhoods. The complexity and diversity of the road networks are significant for shaping vibrant streets. In Hong Kong’s ongoing construction program of large-scale public housing estates, the design prioritizes the connectivity of pedestrian circulation to foster social interaction among residents and encourage the utilization of recreational facilities. In this study, an analytical framework is developed to interpret public housing estate spatial layout based on satellite imagery. It extracts road networks using neural networks and vectorizes results to analyze network integration around estates to predict social interactions. The aim of this process is to employ a machine learning workflow to analyze options for newly planned estates, where the design configuration can be further optimized based on its potential to stimulate social engagement and community interaction. Due to the scalability and universality of the method, the research can contribute to improved road networks and sociable housing complexes in Hong Kong, or in other international cities of similar density and vibrancy.
keywords	Network Integration, Spatial Structure, Satellite Imagery, Machine Learning, Hong Kong Public Housing
series	SIGraDi
email
last changed	2024/03/08 14:07

_id	ijac202321208
id	ijac202321208
authors	Ennemoser, Benjamin; Mayrhofer-Hufnagl, Ingrid
year	2023
title	Design across multi-scale datasets by developing a novel approach to 3DGANs
source	International Journal of Architectural Computing 2023, Vol. 21 - no. 2, 358–373
summary	The development of Generative Adversarial Networks (GANs) has accelerated the research of Artificial Intelligence (AI) in architecture as a generative tool. However, since their initial invention, many versions have been developed that only focus on 2D image datasets for training and images as output. The current state of 3DGAN research has yielded promising results. However, these contributions focus primarily on building mass, extrusion of 2D plans, or the overall shape of objects. In comparison, our newly developed 3DGAN approach, using fully spatial building datasets, demonstrates that unprecedented interconnections across different scales are possible resulting in unconventional spatial configurations. Unlike a traditional design process, based on analyzing only a few precedents (typology) according to the task, by collaborating with the machine we can draw on a significantly wider variety of buildings across multiple typologies. In addition, the dataset was extended beyond the scale of complete buildings and involved building components that define space. Thus, our results achieve a high spatial diversity. A detailed analysis of the results also revealed new hybrid architectural elements illustrating that the machine continued the interconnections of scale since elements were not explicitly part of the dataset, becoming a true design collaborator.
keywords	3D Generative adversarial networks, architectural design, Spatial Interpolations
series	journal
last changed	2024/04/17 14:30

_id	acadia23_v1_82
id	acadia23_v1_82
authors	Ennemoser, Benjamin; Mayrhofer-Hufnagl, Ingrid
year	2023
title	Convoluted City: The latent space as tangible matter
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 1: Projects Catalog of the 43rd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 82-91.
summary	As chimeras of the city and its entangled natural environments are distributed across the planet, Convoluted City opens up a space where new notions of the built environment can begin to emerge. True- and false-color remote sensing images were curated and processed with neural networks, and we demonstrated that by converting generative adversarial network (GAN)-generated images into dithered material deposition descriptions, two-dimensional image data can be converted into physical, materially heterogeneous objects (Figures 1 and 2). The models were exhibited at the Resilienze Festival in Bologna, Italy, in June 2023.
series	ACADIA
type	project
email
last changed	2024/04/17 13:58

_id	sigradi2023_469
id	sigradi2023_469
authors	Fernandez Gonzalez, Alberto and Bognar, Melinda
year	2023
title	Exploring the Evolution of Digital Detail in Architecture: From Pixels and Voxels to AI- Enhanced Design Techniques
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 1773–1784
summary	This paper explores the significant evolution of digital architecture, tracing its development from the introduction of basic elements like pixels and vectors to the sophisticated integration of AI and stable diffusion models. Beginning with the shift from manual sketching to computer-aided design (CAD), the paper examines how these foundational components have enabled more precise and intricate designs. The incorporation of AI has further transformed the field, allowing for advanced techniques such as generative design and performance optimization. Additionally, the research emphasizes the role of stable diffusion models in maximizing design performance and translating 2D data into 3D spaces. The paper also considers the broader impact of these technologies on the industry, leading to innovative paradigms like biomimicry and smart cities. Overall, the paper provides a comprehensive overview of digital architecture's transformative potential and its role in shaping a more innovative and equitable built environment.
keywords	Artificial Intelligence, Neural Networks, GANs, Stable Diffusion, Detail
series	SIGraDi
email
last changed	2024/03/08 14:09

For more results click below: