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

_id	ecaade2022_384
id	ecaade2022_384
authors	Naboni, Roberto, Breseghello, Luca and Sanin, Sandro
year	2022
title	Environment-Aware 3D Concrete Printing through Robot-Vision
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 409–418
doi	https://doi.org/10.52842/conf.ecaade.2022.2.409
summary	In the 2020s, large scale 3D concrete printing (3DCP) is one of the most important areas of development for research and industry in construction automation. However, the available technology fails to adapt to the complexity of a real construction site and building process, oversimplifying design, production, and products to fit the current state of technology. We hypothesise that by equipping printing machinery with sensing devices and adaptive design algorithms we can radically expand the range of applications and effectiveness of 3DCP. In this paper we prove this concept through a full-scale design-to- fabrication experiment, SENS-ENV, consisting of three main phases: (i) we equip and calibrate an existing robotic setup for 3DCP with a camera which collects geometric data; (ii) building upon the collected information, we use environment-aware generative design algorithms to conceive a toolpath design tailored for the specific environment with a quasi-real-time workflow; (iii) we successfully prove this approach with a number of fabrication test-elements printed on unknown environment configurations and by monitoring the fabrication process to apply printing corrections. The paper describes the implementation and the successful experiments in terms of technology setup, process development, and documenting the outcomes. SENS-ENV opens a new agenda for context-aware autonomous additive construction robots.
keywords	3D Concrete Printing, Robot Vision, Environment Mapping, Adaptive Design
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ecaade2022_221
id	ecaade2022_221
authors	Delikanli, Burak and Gül, Leman Figen
year	2022
title	Towards to the Hyperautomation - An integrated framework for Construction 4.0: a case of Hookbot as a distributed reconfigurable robotic assembly system
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 389–398
doi	https://doi.org/10.52842/conf.ecaade.2022.2.389
summary	Almost every technological and industrial concept changes the built environment around us and our understanding of the architectural practice. Recently, Hyperautomation, an all-encompassing digital transformation with the help of advanced techniques, has been presented as a game-changing concept that can affect any industry. Despite this promising concept, the Architecture, Engineering, and Construction (AEC) industry seems far behind the latest technological breakthroughs and automation of processes compared to other industries. Therefore, this study provides a better understanding of adopting the novel Hyperautomation paradigm in the AEC industry by focusing on Industry 4.0. In this context, the first section introduces the Construction 4.0 concept, its counterpart in the AEC industry, briefly mentions fundamental approaches and indicates the need for a framework. The second section introduces an integrated framework throughout the entire building life-cycle for design and construction processes and exemplifies the stages in an autonomous system and their interrelationships. The third section presents a hypothetical case, a distributed reconfigurable robotic assembly system, and the assembler ‘HookBot’ to understand the relationships in an autonomous system better. The last section discusses the place of the Hyperautomation paradigm in architecture.
keywords	Autonomy, Autonomous Systems, Construction 4.0, Assembly Robotics
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ecaade2022_78
id	ecaade2022_78
authors	Eroglu, Ruºen and Gül, Leman Figen
year	2022
title	Architectural Form Explorations through Generative Adversarial Networks - Predicting the potentials of StyleGAN
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 575–582
doi	https://doi.org/10.52842/conf.ecaade.2022.2.575
summary	In recent years, generative models have been rapidly transforming into a broad field of research, and artificial intelligence (AI) works are increasing. Since deep learning technologies such as Generative Adversarial Networks (GANs) providing synthesized new images are becoming more accessible, researchers in the design and related fields are very much interested in adapting GANs into practice. Especially, StyleGAN has a strong capability for image learning, reconstruction simulation, and absorbing the pixel characteristics of images in the input dataset. StyleGAN also produces similar imitation outputs and summarizes all the input data into one "average output". The study aims to reveal the potential of these outputs that can be employed as a visual inspiration aid for designers. This article will discuss the outputs of the experiments, findings, and prospects of StyleGAN.
keywords	Artificial Intelligence, Machine Learning, Generative Adversarial Networks, StyleGAN
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ecaade2022_250
id	ecaade2022_250
authors	Garcia del Castillo y Lopez, Jose L.
year	2022
title	The Digital Touch - Towards novel modeling frameworks for robotically-enhanced marble sculpting
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 37–46
doi	https://doi.org/10.52842/conf.ecaade.2022.1.037
summary	In this paper, two case studies on digital modeling for robotically-enabled marble carving are presented. In the first one, an interactive, gesture-based modeling framework was developed to sculpt a large, undulating and ultra-thin marble surface. On the second one, an integrated 3D-scanning-to-milling solution was created, in order to groove a superficial pattern on the surface of a discarded marble boulder. The cases evidence the power of tangible interaction to serve as input to novel digitally-aided marble sculpting processes, and the capacity of integrated generative design workflows to create consistent solutions to variable conditions, in this case, with a particular focus on sustainability and reclaiming of scrap materials.
keywords	Robotic Fabrication, Generative Design, Modeling, Sculpting
series	eCAADe
email
last changed	2024/04/22 07:10

_id	acadia22_256
id	acadia22_256
authors	Gerritsen, Patricia Duenas; Wissemann, Emily; García del Castillo y López, Jose Luis
year	2022
title	Designer Agency in 3D Packing of Irregular Material Stock
source	ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 256-267.
summary	This paper presents a flexible computational method to simulate architectural design elements out of nonstandard and irregular sets of material stocks. This approach contributes to ongoing efforts to reduce material processing in common reuse strategies by developing a framework for human-machine design collaborations. Our three-dimensional packing method accepts as inputs user preferences with the goal of creating a framework for design that integrates creative decision-making, enabling architects to simulate and conceptualize alternative design schemes for material reuse
series	ACADIA
type	paper
email
last changed	2024/02/06 14:00

_id	ecaade2022_65
id	ecaade2022_65
authors	Halici, Süheyla Müge and Gül, Leman Figen
year	2022
title	Utilizing Generative Adversarial Networks for Augmenting Architectural Massing Studies: AI-assisted Mixed Reality
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 323–330
doi	https://doi.org/10.52842/conf.ecaade.2022.1.323
summary	A technique for architectural massing studies in Mixed Reality (MR) is described. Generative Adversarial Networks let an object appear to have a different material than it actually has. The benefits during design are twofold. From one side the congruence between shape and material are subject to verification in real-time. From the other side, the designer is liberated from the usual restrictions and biases as to shape that are inevitable due to the mechanical properties of a mock-up. This is referred to as artificial intelligence assisted MR (AI-A MR) in this work. The technique consists of two steps: based on preparing synthetic data in Rhino/Grasshopper to be trained with an image-to- image translation model and implemented to the trained model in MR design environment. Next to the practical merits, a contribution of the work with respect to MR methodology is that it exemplifies the solution of some persistent tracking and registration problems.
keywords	Hybrid Design Environment, Dynamic Design Models, Mixed Reality, Generative Adversarial Networks, Image-to-Image Translation, Tracking
series	eCAADe
email
last changed	2024/04/22 07:10

_id	acadia22pr_148
id	acadia22pr_148
authors	Jung,, Francisco; Al Othman, Sulaiman; Im, Hyeonji Claire; García del Castillo y López, Jose Luis; Bechthold, Martin
year	2022
title	Responsive Spatial Print Trajectory: 3D Printing of Clay Lattices with Self-Corrective Recalibration
source	ACADIA 2022: Hybrids and Haecceities [Projects Catalog of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-7-4]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 148-153.
summary	This project presents a novel method of spatially printing clay lattices by controlling fabrication parameters such as the printing head speed and the material extrusion rate following a 3D-choreographed toolpath. Spatial printing refers to the unrestricted movement of the printer nozzle in three axes (x, y, z) when extruding material, as opposed to the conventional 2-axis layer-by-layer deposition that is very slow and results in increased operational costs. This method—enhanced with an integrated industrial laser displacement sensor to collect deflection data subsequently used to calibrate the next layer toolpath geometry in real- time—works optimally with carbon-fiber reinforcements for increased tensile performance.
series	ACADIA
type	project
email
last changed	2024/02/06 14:06

_id	ecaade2022_51
id	ecaade2022_51
authors	Lüling, Claudia and Carl, Timo
year	2022
title	Fuzzy 3D Fabrics & Precise 3D Printing - Combining research with design-build investigations
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 67–76
doi	https://doi.org/10.52842/conf.ecaade.2022.1.067
summary	We present a synergetic combination of two previously separate process technologies to create novel lightweight structures. 3D textiles and 3D printing. We will outline the development of a novel material system that consisted of flexible and foldable 3D textiles that are combined with stiff, linear 3D printed materials. Our aim is to produce material-reduced lightweight elements for building applications with an extended functionality and recyclability. Within an ongoing research project (6dTEX), we explore a mono-material system, which uses the same base materials for both the filament for 3D printing and the yarn of the fabrication of the 3D textiles. Based on preliminary 3D printing tests on flat textiles key process parameters were identified. Expertise has been established for 3D printing on textiles as well as for using printable recycled polyester materials (PES textile and PETG filament. Lastly for 3D printing on non-combustible material (alkali-resistant (AR) glass textiles and for 3D concrete printing (3DCP). The described process- knowledge facilitates textile architectures with an extended vocabulary, ranging from flat to single curved and folded topologies. Whereas the foundations are laid in the research project on a meso scale, we also extended our explorations into an architectural macro scale. For this, we used a more speculative design-build studio that was based on a more loose combination of 3D textiles and 3D printed elements. Lastly, we will discuss, how this first architectural application beneficially informed the research project.
keywords	Material-Based Design, Additive Manufacturing, Design-Build, Parametric Modelling, Form-Finding, Co-Creation, Lightweight Structures, Single-Origin Composites, Space Fabrics
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ecaade2022_290
id	ecaade2022_290
authors	Yalçinkaya, Sezgi and Çolakoglu, Meryem Birgül
year	2022
title	A Visibility Algorithm Based on Voxel Modelling Method Developed for Architectural Geometries
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 57–66
doi	https://doi.org/10.52842/conf.ecaade.2022.2.057
summary	A visibility algorithm has been developed and practiced on the iconic towers of Istanbul from various locations with multiple observation points. This research accepts visibility as a binary subject and limited subjective perspectives. Using visibility as a design strategy is a prevalent technique for designers. Applying visibility aspects to the design is an outcome of psychological research in the 60s. Benedikt was the first person who added visibility to his architectural studies. Visibility refers to being able to see or be seen from a distance. This research accepts and practices this definition on two iconic towers of the city of Istanbul with the model MoV (Model of Visibility) developed. The implantation of the developed model is represented with the voxel modeling method. To be able to provide volumetric data, voxel-based representation was explicitly applied to the digital models of iconic towers. This representation model aimed to illustrate and quantify the visible and non-visible areas according to the location of the observation point’s visibility range.
keywords	Visibility, Isovist, Algorithym, Iconic Structures, Visibility Values, Developed Algorithm
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ecaade2022_168
id	ecaade2022_168
authors	Abdulmawla, Abdulmalik, Schneider, Sven, Koenig, Reinhard, Bielik, Martin and Fuchkina, Ekaterina
year	2022
title	Parametric Urban Data Structuring and Spatial Query - Advanced data mapping and selection methods for parametric modelling environments
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 277–286
doi	https://doi.org/10.52842/conf.ecaade.2022.2.277
summary	This paper presents a method for organising urban data inside the CAD environment into a hierarchical structure, which promotes the ease of transferring information between all available urban elements, from streets to buildings passing by the plots and blocks. This is done using parametric methods that map the urban data using the available CAD and GIS records. Finally, the paper presents a couple of example scenarios where such methods are most needed and how much they could facilitate more detailed and complex data to be accessed, compared, and analysed.
keywords	Urban Query, Urban Geometry, Spatial Mapping
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ecaade2022_202
id	ecaade2022_202
authors	Acican, Oyku and Luyten, Laurens
year	2022
title	Experiential Learning of Structural Systems - Comparison of design-based and experiment-based pedagogies
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 535–544
doi	https://doi.org/10.52842/conf.ecaade.2022.2.535
summary	This research aims to compare two experiential learning methods’ effectiveness for (1) a deeper understanding of structural behaviour, and (2) skills to design architectural forms that are structurally informed. A course was planned to investigate the effect of the type and order of the two teaching units: (1) guided experiments on a parametric design model, and (2) parametric design of a tower and custom experiments using Grasshopper and Karamba. Results indicate that the group that started with the experiments learned to ask the relevant questions by experimenting with the appropriate parameters that helped them to find the structural principles and apply them during their design phase. The group that started with the design were lost in the structural concepts and in identifying the meaningful parameters to test for. However, after the experiment was completed, this group could make a knowledge transfer. Acquisition of structures knowledge may require the experience of multiple situations while the application of this knowledge may involve selecting the relevant structural experience with the architectural form-finding process. In the future, a proposed experiential learning method will be compared with an instructive learning approach of structural systems for architecture students.
keywords	Structures Education, Experiential Learning, Parametric Structural Analysis, Comparative Pedagogy
series	eCAADe
email
last changed	2024/04/22 07:10

_id	acadia22_604
id	acadia22_604
authors	Adel, Arash
year	2022
title	Co-Robotic Assembly of Nonstandard Timber Structures
source	ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 604-613.
summary	This paper presents a novel approach for the construction of nonstandard timber structures made from regionally sourced short dimensional lumber, which is enabled through human-robot collaborative assembly (HRCA). To address the research question, three main research objectives are identified and experimentally explored: 1) Characterization of a comprehensive construction process, which consists of off-site HRCA of bespoke timber sub-assemblies, 2) Development of a suitable constructive system for robotic assembly, making feasible the realization of articulated structures out of short timber elements, and 3) Incorporation of these techniques and their constraints into an integrative digital design and fabrication method and implementation of a continuous digital design-to-fabrication workflow.
series	ACADIA
type	paper
email
last changed	2024/02/06 14:04

_id	ascaad2022_037
id	ascaad2022_037
authors	Affara, Lama; Nakhal, Bilal
year	2022
title	Computer Vision Aided Hotspot Creation in Virtual Environments
source	Hybrid Spaces of the Metaverse - Architecture in the Age of the Metaverse: Opportunities and Potentials [10th ASCAAD Conference Proceedings] Debbieh (Lebanon) [Virtual Conference] 12-13 October 2022, pp. 61-73
summary	Hotspot creation is one of the most important modules within virtual environments which helps show the navigators of these environments some information about semantic elements within it and facilitate the navigation between the virtual spaces. In this paper, a system for automatic hotspot proposals and creation in virtual environments is proposed. The system uses computer vision modules to automatically propose hotspot locations in addition to identifying and creating these hotspots with candidate labels. Two main modules used in the system are object detection and scene segmentation. The scene segmentation helps give candidate hotspot areas and provides an overall understanding of the semantics of the virtual environment. The object detection module also uses pretrained deep networks for automatic hotspot creation over these objects. The system helps speed up the hotspot creation process and offers a tool for virtual environment users and creators.
series	ASCAAD
email
last changed	2024/02/16 13:24

_id	ecaade2022_234
id	ecaade2022_234
authors	Afsar, Secil, Estévez, Alberto T., Abdallah, Yomna K., Turhan, Gozde Damla, Ozel, Berfin and Doyuran, Aslihan
year	2022
title	Activating Co-Creation Methodologies of 3D Printing with Biocomposites Developed from Local Organic Wastes
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 215–224
doi	https://doi.org/10.52842/conf.ecaade.2022.1.215
summary	Compared to the take-make-waste-oriented linear economy model, the circular model has been studied since the 1980s. Due to consumption-oriented lifestyles along with having a tendency of considering waste materials as trash, studies on sustainable materials management (SMM) have remained at a theoretical level or created temporary and limited impacts. To ensure SMM supports The European Green Deal, there is a necessity of developing top-down and bottom-up strategies simultaneously, which can be metaphorized as digging a tunnel from two different directions to meet in the middle of a mountain. In parallel with the New European Bauhaus concept, this research aims to create a case study for boosting bottom-up and data-driven methodologies to produce short-loop products made of bio-based biocomposite materials from local food & organic wastes. The Architecture departments of two universities from different countries collaborated to practice these design democratization methodologies using data transfer paths. The 3D printable models, firmware code, and detailed explanation of working with a customized 3D printer paste extruder were shared using online tools. Accordingly, the bio-based biocomposite recipe from eggshell, xanthan gum, and citric acid, which can be provided from local shops, food & organic wastes, was investigated concurrently to enhance its printability feature for generating interior design elements such as a vase or vertical gardening unit. While sharing each step from open-source platforms with adding snapshots and videos allows further development between two universities, it also makes room for other researchers/makers/designers to replicate the process/product. By combining modern manufacturing and traditional crafting methods with materials produced with DIY techniques from local resources, and using global data transfer platforms to transfer data instead of products themselves, this research seeks to unlock the value of co-creative design practices for SMM.
keywords	Sustainable Materials Management, Co-Creation, Food Waste, 3D Printing, New European Bauhaus
series	eCAADe
email
last changed	2024/04/22 07:10

_id	acadia22pr_124
id	acadia22pr_124
authors	Ago, Viola; Tursack, Hans
year	2022
title	Understorey - A Pavilion in Parts
source	ACADIA 2022: Hybrids and Haecceities [Projects Catalog of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-7-4]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 124-129.
summary	In the summer of 2018, our collaboration was awarded a University Design Fellowship from the Exhibit Columbus organization to design, fabricate, and build a large pavilion in Columbus, Indiana as part of a biannual contemporary architecture exhibition. Our proposal for the competition was a pavilion that would double as an ecological education center. Our inspiration for this program was triggered in part by our reading of Jane Bennett’s materialist philosophy outlined in her book Vibrant Matter (2009). Through Bennett’s lens, our design rendered our site’s context as an animate field, replete with pre-existing material composites that we wanted to celebrate through a series of displays, information boards, and artificial lighting. In this, the installation would feature samples of local plants, minerals, and rocks, indigenous to Southern Indiana.
series	ACADIA
type	project
email
last changed	2024/02/06 14:06

_id	acadia22_156
id	acadia22_156
authors	Agraviador, Armand; Scott, Jane; Kaiser, Romy; Elsacker, Elise; Hoenerloh, Aileen; Topcu, Ahmet; Bridgens, Ben
year	2022
title	BioKnit
source	ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 156-167.
summary	The paper discusses how catenary geometry was used to define parameters for knitting and mycelium, and how they were applied to the design of a 3D knit preform. In addition, the paper evaluates the success of the bespoke growth chamber fabricated for this research. The growth chamber was designed to support the hanging preform as a catenary vault during growing and to optimize mycelium growth via environmental controls. Findings of the research highlight the significance of computational methods to enable the design and construction of biohybrid textile systems that move from an assimilation of discrete material elements with defined boundaries to a cohesive technological approach.
series	ACADIA
type	paper
email
last changed	2024/02/06 14:00

_id	caadria2022_277
id	caadria2022_277
authors	Akbar, Zuardin, Wood, Dylan, Kiesewetter, Laura, Menges, Achim and Wortmann, Thomas
year	2022
title	A Data-Driven Workflow for Modelling Self-Shaping Wood Bilayer, Utilizing Natural Material Variations with Machine Vision and Machine Learning
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 393-402
doi	https://doi.org/10.52842/conf.caadria.2022.1.393
summary	This paper develops a workflow to train machine learning (ML) models with a small dataset from physical samples to predict the curvatures of self-shaping wood bilayers based on local variations in the grain. In contrast to state-of-the-art predictive models, specifically 1.) a 2D Timoshenko model and 2.) a 3D numerical model with a rheological model, our method accounts for natural and unavoidable material variations. In this paper, we only focus on local grain variations as the main driver for curvatures in small-scale material samples. We extracted a feature matrix from grain images of active and passive layers as a Grey Level Co-Occurrence Matrix and used it as the input for our ML models. We also analysed the impact of grain variations on the feature matrix. We trained and tested several tree-based regression models with different features. The models achieved very accurate predictions for curvatures in each sample (R;0.9) and extend the range of parameters that is incalculable by a Timoshenko model. This research contributes to the material-efficient design of weather-responsive shape-changing wood structures by further leveraging the use of natural material features and explainable data-driven modelling and extends the topic in ML for material behaviour-driven design among the CAADRIA community.
keywords	data-driven model, machine learning, material programming, smart material, timber structure, SDG 12
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	acadia22_000
id	acadia22_000
authors	Akbarzadeh, Masoud; Aviv, Dorit; Jamelle, Hina; Stuart-Smith, Robert
year	2022
title	ACADIA 2022: Hybrids and Haecceities [Proceedings]
source	ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 839p.
summary	Hybrids & Haecceities seeks novel approaches to design and research that dissolve binary conditions and inherent hierarchies in order to embrace new modes of practice. Haecceities describe the qualities or properties of objects that define them as unique. Concurrently, Hybrids are entities with characteristics enhanced by the process of combining two or more elements with different properties. In concert, these terms offer a provocation toward more inclusive and specific forms of computational design. Hybrids & Haecceities aligns with a fundamental shift away from abstract generalized models of production toward greater degrees of customization at unprecedented scales, made possible by the Fourth Industrial Revolution. With greater reliance on cyber-physical systems, this shift supports more diverse and considered forms of embodiment and participation in the built environment. Conversely, the design and construction industries have profound global effects with significant political, economic, and environmental impacts. The urgent need to decarbonize buildings, and at the same time, provide equitable infrastructure to communities at risk, places responsibility on the design disciplines to form new collaborations in the effort to address today’s social and ecological crises.
series	ACADIA
type	proceedings
email
last changed	2024/02/06 14:00

_id	acadia22_001
id	acadia22_001
authors	Akbarzadeh, Masoud; Aviv, Dorit; Jamelle, Hina; Stuart-Smith, Robert
year	2022
title	ACADIA 2022: Hybrids and Haecceities [Projects Catalog]
source	ACADIA 2022: Hybrids and Haecceities [Projects Catalog of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-7-4]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 240p.
summary	Hybrids & Haecceities seeks novel approaches to design and research that dissolve binary conditions and inherent hierarchies in order to embrace new modes of practice. Haecceities describe the qualities or properties of objects that define them as unique. Concurrently, Hybrids are entities with characteristics enhanced by the process of combining two or more elements with different properties. In concert, these terms offer a provocation toward more inclusive and specific forms of computational design. Hybrids & Haecceities aligns with a fundamental shift away from abstract generalized models of production toward greater degrees of customization at unprecedented scales, made possible by the Fourth Industrial Revolution. With greater reliance on cyber-physical systems, this shift supports more diverse and considered forms of embodiment and participation in the built environment. Conversely, the design and construction industries have profound global effects with significant political, economic, and environmental impacts. The urgent need to decarbonize buildings, and at the same time, provide equitable infrastructure to communities at risk, places responsibility on the design disciplines to form new collaborations in the effort to address today’s social and ecological crises.
series	ACADIA
type	projects catalog
email
last changed	2024/02/06 14:00

_id	ecaade2022_270
id	ecaade2022_270
authors	Akcay Kavakoglu, Aysegul, Almac, Bihter, Eser, Begum and Alacam, Sema
year	2022
title	AI Driven Creativity in Early Design Education - A pedagogical approach in the age of Industry 5.0
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 133–142
doi	https://doi.org/10.52842/conf.ecaade.2022.1.133
summary	This study presents a pedagogical experiment on the integration of AI into the project studio in the early stages of design education. The motivation of the study is to support creative encounters in design studios by promoting student-design representation, student-student, and student-artificial intelligence (AI) interaction. In the scope of this study, a short-term studio project is used as a case study to examine these creative encounters. The experiment covers five stages that enable a recursive analysis-synthesis action. The stages include (i) precedent analysis of a given set of building façades images, (ii) feature extraction, (iii) composing new façade representations through employing previously generated features, (iv) training an AI by the use of styleGAN2-ADA with the outcomes of stage 3, (v) Use of synthetically generated façade images as a design driver. The pedagogical experiment is evaluated through the lenses of novelty, style, surprisingness, and complexity concepts. The challenges and potentials are introduced, as well as elaborations on the future directions of the interplay between AI-oriented making and first-year student making.
keywords	Artificial Intelligence, Computational Creativity, Design Education, StyleGAN2-ADA
series	eCAADe
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last changed	2024/04/22 07:10

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