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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	ecaade2022_151
id	ecaade2022_151
authors	Turhan, Gozde Damla, Afsar, Secil, Ozel, Berfin, Doyuran, Aslihan, Varinlioglu, Guzden and Bengisu, Murat
year	2022
title	3D Printing with Bacterial Cellulose-Based Bioactive Composites for Design Applications
doi	https://doi.org/10.52842/conf.ecaade.2022.1.077
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. 77–84
summary	The bacterial cellulose (BC) biofilms are explored in design applications as replacements to petroleum-based materials in order to overcome the irreversible effects of the Anthropocene. Unlike biomaterials, designers as mediators could collaborate with bioactive polymers as a form of wetware to manufacture living design products with the aid of novel developments in biology and engineering. Past and ongoing experiments in the literature show that BC has a strong nanofibril structure that provides adhesion for attachment to plant cellulose-based networks and it could grow on the surfaces of the desired geometry thanks to its inherited, yet, controllable bio-intelligence. This research explores BC-based bioactive composites as wetware within the context of digital fabrication in which the methodology involves distinct, yet integrated, three main stages: Digital design and G-code generation (software stage); BC cultivation and printable bioactive composite formulation (wetware stage); digital fabrication with a customized 3D printer (hardware stage). The results have shown that the interaction of BC and plant- based cellulose fibers of jute yarns has enhanced the structural load-bearing capacity of the form against compressive forces, while pure BC is known only by its tensile strength. Since the outcomes were fabricated with the use of a bioactive material, the degradation process also adds a fourth dimension: Time, by which the research findings could further establish a bio-upcycling process of wastes towards biosynthesis of valuable products. Moreover, developing a BC-based bioactive filament indicates potentially a feasible next step in the evolution of multiscale perspectives on the growth of habitable living structures that could reinforce the interaction between nature and architecture through collaboration with software, hardware, and wetware in innovative and sustainable ways.
keywords	Bacterial Cellulose, 3D Printing, Digital Fabrication, Bio-Active Composite
series	eCAADe
email
last changed	2024/04/22 07:10

_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
doi	https://doi.org/10.52842/conf.ecaade.2022.1.215
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
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	cdrf2022_150
id	cdrf2022_150
authors	Ana Zimbarg
year	2022
title	Mapping Plant Microclimates on Building Envelope Using Environmental Analysis Tools
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_13
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
summary	Can we build our cities not only for humans but also for all living systems? How can we consider other species occupants of the built environment? Planning cities as an element of the natural domain can reshape our relationship with nature and help redefine sustainability in architecture. Although current design strategies of reducing energy use does not rectify past/continuing im-balances in the natural environment. Landscape architect John Tillman Lyle expanded the regenerative design concept based on a range of ecological concepts. The environment's complexity, and the urge to use resources smartly, encouraged him to think about architecture and the environment as a whole system. John Lyle's regenerative design strategies scaffold a conceptual framework of treating the building as part of the landscape. Environmental tools such as Ladybug can map out the different conditions surrounding the building's envelope. This information can assist in selecting and populating a building façade with suitable plant species. The framework presents the building as a feature in the landscape, creating microclimatic conditions for various plant habitats. This conceptual workflow has the potential to become a tool to include regenerative principles in the urban context.
series	cdrf
email
last changed	2024/05/29 14:02

_id	ecaade2022_16
id	ecaade2022_16
authors	Bailey, Grayson, Kammler, Olaf, Weiser, Rene, Fuchkina, Ekaterina and Schneider, Sven
year	2022
title	Performing Immersive Virtual Environment User Studies with VREVAL
doi	https://doi.org/10.52842/conf.ecaade.2022.2.437
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. 437–446
summary	The new construction that is projected to take place between 2020 and 2040 plays a critical role in embodied carbon emissions. The change in material selection is inversely proportional to the budget as the project progresses. Given the fact that early-stage design processes often do not include environmental performance metrics, there is an opportunity to investigate a toolset that enables early-stage design processes to integrate this type of analysis into the preferred workflow of concept designers. The value here is that early-stage environmental feedback can inform the crucial decisions that are made in the beginning, giving a greater chance for a building with better environmental performance in terms of its life cycle. This paper presents the development of a tool called LearnCarbon, as a plugin of Rhino3d, used to educate architects and engineers in the early stages about the environmental impact of their design. It facilitates two neural networks trained with the Embodied Carbon Benchmark Study by Carbon Leadership Forum, which learns the relationship between building geometry, typology, and construction type with the Global Warming potential (GWP) in tons of C02 equivalent (tCO2e). The first one, a regression model, can predict the GWP based on the massing model of a building, along with information about typology and location. The second one, a classification model, predicts the construction type given a massing model and target GWP. LearnCarbon can help improve the building life cycle impact significantly through early predictions of the structure’s material and can be used as a tool for facilitating sustainable discussions between the architect and the client.
keywords	Pre-Occupancy Evaluation, Immersive Virtual Environment, Wayfinding, User Centered Design, Architectural Study Design
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ecaade2022_211
id	ecaade2022_211
authors	Bonafede, Andrea and Erioli, Alessio
year	2022
title	Versus Habitat - Multi agent spatial negotiation for topology-aware, large scale architectural assemblages
doi	https://doi.org/10.52842/conf.ecaade.2022.2.113
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. 113–122
summary	With the burst of automation in the AEC industry, modular design for collective living is having a reissue; as for industrial construction in the post WW2 era, the economies of a construction system trigger urban models, but an exploration of non-standard spatial models based on computational methods is still lacking. This research proposes a competition-based process for the design of large scale (urban) collective habitats as topology-aware architectural assemblages of spatial (as in including constructive elements + void) components. Two competing multi-agent systems negotiate spatial occupancy, leveraging the morphological computation capabilities of individual and combined components at increasing scales. Localized information stored in the environment by the agents is converted in architectural components, resulting in a multi- level spatial organization that transcends typical typological classification. Space syntax techniques are used to map the assemblage properties and support design inferences on spatial occupation such as potentially implementable functional programmes.
keywords	Multi-agent System, Automation, Assemblages, Stigmergy, Space Syntax
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ecaade2022_201
id	ecaade2022_201
authors	Buš, Peter, Sridhar, Nivedita, Zhao, Yige, Yang, Chia-Wei, Chen, Chenrui and Canga, Darwin
year	2022
title	Kit-of-Parts Fabrication and Construction Strategy of Timber Roof Structure - Digital design-to-production workflow for self-builders
doi	https://doi.org/10.52842/conf.ecaade.2022.1.449
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. 449–458
summary	This project builds upon a premise that complex double-curved geometries can be built out of simple, planar, and straight elements. As such, it is possible to simplify manufacturing, construction, and assembly processes, as well as decrease the delivery time and cost. When operating with planar and simple components in the form of Kit-of- Parts there is an assumption that such components can be easily used by self-builders, not necessarily building experts. This can empower participatory activities leading to a more sustainable and resilient engaged community. This hypothesis is evaluated through the process of design for manufacture and assembly project of the timber shell, supported by proposed advanced computational design-to-production workflow utilising digital fabrication technologies such as CNC machining and robotic milling. The assembled and erected structure is evaluated in the scope of constructability, deliverability, and operability. Therefore, the focus of this project is to test, observe, experiment with, and learn from those aspects from the perspective of a fabricator, maker, and self-builder of the double-curved timber roof structure, while operating with smaller-scale components and smaller sub-assemblies, convenient for hands-on operations. The paper also discusses the limitations of such an approach.
keywords	Design-to-Production Workflow, Robotic Digital Fabrication, Self-Builders, Structural Performance, Advanced Labelling
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ecaade2022_222
id	ecaade2022_222
authors	Eisenstadt, Viktor, Bielski, Jessica, Langenhan, Christoph, Althoff, Klaus-Dieter and Dengel, Andreas
year	2022
title	Autocompletion of Design Data in Semantic Building Models using Link Prediction and Graph Neural Networks
doi	https://doi.org/10.52842/conf.ecaade.2022.1.501
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. 501–510
summary	This paper presents an approach for AI-based autocompletion of graph-based spatial configurations using deep learning in the form of link prediction through graph neural networks. The main goal of the research presented is to estimate the probability of connections between the rooms of the spatial configuration graph at hand using the available semantic information. In the context of early design stages, deep learning-based prediction of spatial connections helps to make the design process more efficient and sustainable using the past experiences collected in a training dataset. Using the techniques of transfer learning, we adapted methods available in the modern graph-based deep learning frameworks in order to apply them for our autocompletion purposes to suggest possible further design steps. The results of training, testing, and evaluation showed very good results and justified application of these methods.
keywords	Spatial Configuration, Autocompletion, Link Prediction, Deep Learning
series	eCAADe
email
last changed	2024/04/22 07:10

_id	caadria2022_166
id	caadria2022_166
authors	Eisenstadt, Viktor, Bielski, Jessica, Mete, Burak, Langenhan, Christoph, Althoff, Klaus-Dieter and Dengel, Andreas
year	2022
title	Autocompletion of Floor Plans for the Early Design Phase in Architecture: Foundations, Existing Methods, and Research Outlook
doi	https://doi.org/10.52842/conf.caadria.2022.1.323
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. 323-332
summary	This paper contributes the current research state and possible future developments of AI-based autocompletion of architectural floor plans and shows demand for its establishment in computer-aided architectural design to facilitate decent work, economic growth through accelerating the design process to meet the future workload. Foundations of data representations together with the autocompletion contexts are defined, existing methods described and evaluated in the integrated literature review, and criteria for qualitative and sustainable autocompletion are proposed. Subsequently, we contribute three unique deep learning-based autocompletion methods currently in development for the research project metis-II. They are described in detail from a technical point of view on the backdrop of how they adhere to the proposed criteria for creating our novel AI.
keywords	Artificial Intelligence, Architectural Design, Floor Plan, Autocompletion, SDG 8, SDG 9
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ecaade2022_154
id	ecaade2022_154
authors	Ferretti, Maddalena, Di Leo, Benedetta, Quattrini, Ramona and Vasic, Iva
year	2022
title	Creativity and Digital Transition in Central Apennine - Innovative design methods and digital technologies as interactive tools to enable heritage regeneration and community engagement
doi	https://doi.org/10.52842/conf.ecaade.2022.2.187
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. 187–196
summary	This contribution proposes strategies of reactivation of the central Apennine of Marche Region in Italy through creative design methods and virtual technologies. The research activities are connected to two related PhD projects: one focusing on architectural and urban design, the other one on heritage digitalization and new technologies and to other research activities of our interdisciplinary team. Cagli, a small town of 8.000 inhabitants, is currently undergoing socio-economic transformations that need to be addressed strategically with a cultural and spatial perspective. The research explores regenerative solutions and local development strategies to enhance the city and its cultural landscape. Participatory processes aided by digital tools and innovative design methods are tested in Cagli’s living lab. The final output of the overall research is a “Reactive Map” combining a trans-scalar and multidisciplinary territorial analysis with visions to identify “potential spaces”. The map is a design tool to define a shared strategy of enhancement of the city and its heritage. With this paper we present one of the methodological steps of the research, a WEB-APP built upon a point clouds database and assessed through a preliminary user test. The highly descriptive 3D environment is able to collect analysis and to be enriched in a participatory way during planned activities of co-thinking. The 3D environment, improved with interviews, plans, historical pictures and other media contents, is also paired with a virtual tour to offer a different representation of the “potential spaces”. The fully boosting 3D digital technology thus represents a viable and effective solution to involve citizens and an innovative and interdisciplinary tool for knowledge advancement in the fields of architectural and urban design and heritage regeneration.
keywords	Tangible and Intangible Heritage, Co-Thinking, Trans-Scalar Approach, Narrative, Point Clouds Exploitation, Interactive Annotation, Virtual Reality
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ecaade2022_184
id	ecaade2022_184
authors	Grasser, Alexander and Parger, Alexandra
year	2022
title	Blockchain Architectures, the Potential of Web3 for Decentralized Participatory Architecture - Collaborative objects on the Blockchain
doi	https://doi.org/10.52842/conf.ecaade.2022.1.431
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. 431–440
summary	This paper explores the potential of blockchain technology and the Web3 for a decentralized participatory architecture. In this context, the polyvalent capacity of a block in a blockchain is at the center of this investigation. Blockchain innovations in cryptography and efficient block validation and creation systems have led to autonomous blocks that act as decentralized, transparent, and secure Web3 assets. Following our previous research on collaborative objects that enable real-time participatory design activities, a case study project H=N BLOCK+A is developed that implements blockchain principles at both the conceptual and infrastructural levels. At the conceptual level, architectural blocks are speculated and applied as autonomous and decentralized Web3 assets, i.e., a decentralized kit of parts/blocks/NFTs/applications that can form a crazy patchwork of heterogeneous compatible blocks. At the infrastructural level, an existing sustainable blockchain is facilitated to embed a decentralized design methodology that enables real-time participatory co-creation of a collective architectural form.
keywords	Collaborative Objects, Participation, Open Architecture, Blockchain, Web3
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ecaade2022_247
id	ecaade2022_247
authors	Güntepe, Rahma
year	2022
title	Building with Expanded Cork - A novel monolithic building structure
doi	https://doi.org/10.52842/conf.ecaade.2022.1.029
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. 29–36
summary	This research presents the development of a construction system for a solid expanded cork building envelope. The inspiration for this research is the “Cork House” built in 2019 by Matthew Barnett Howland and Oliver Wilton, who developed a Cork Construction Kit for a monolithic dry-jointed cork structure. The goal of this research is to analyze and develop different varieties of construction methods for a dry-joined cork building by combining and applying traditional masonry techniques. The objective is to generate a material-based design for cork construction elements trough prototyping and using a selection of digital tools such as 3D modeling and 3D printing. Expanded cork is a 100% plant-based material which, if applied correctly, has the capacity to be used as a load bearing, insulating and protective structure all at once. It has almost no environmental impact and is completely compostable. To maintain the material's compostable property, this construction system has to be developed without any kind of binders or mortar. Additionally, this more reduced and simplified form of construction will not only make it possible to build without any specific expertise, but at the same time ensure resources to be reused or composted at the end of building life.
keywords	Expanded Cork, Cork, Material-Based Design, Masonry, Stereotomy, 3D Modeling, 3D Printing, Sustainable Material, Dry-Joint Construction
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ecaade2022_116
id	ecaade2022_116
authors	Jovanovic, Luka, Ming, Leo, Doherty, Ben, Gardner, Nicole, Haeusler, M. Hank and Yu, K. Daniel
year	2022
title	Automated Code Compliance Checking - A computational workflow for verifying model, parameter and regulatory compliance
doi	https://doi.org/10.52842/conf.ecaade.2022.2.319
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. 319–328
summary	Building Code Compliance Checking (CCC) is a necessary part of the design process in the Architecture, Engineering and Construction (AEC) industry that is typically time consuming. Existing Automated Code Compliance Checking (ACCC) solutions can be considered as ‘Blackbox’ and are often location specific. Using action research methodology this research develops the design of the computational workflow led by an ‘informed research participant’ – an industry partner – who has knowledge of the problem. All to create a visible and customizable script to evaluate model compliance as well as CCC results. The research outcomes demonstrate a promising compliance checking computational workflow method that could be applied to a range of building codes and standards and contributes to building the AEC industry’s confidence in workflow automation to drive more productive and sustainable ways of working. This investigation, its proposed hypothesis, methodology, implications, significance, and evaluation are presented in the paper.
keywords	Automated Compliance Checking, Regulatory Compliance Checking, BIM Family, Grasshopper (GH), Revit
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ecaade2022_161
id	ecaade2022_161
authors	Kharbanda, Kritika, Papadopoulou, Iliana, Pouliou, Panagiota, Daw, Karim, Belwadi, Anirudh and Loganathan, Hariprasath
year	2022
title	LearnCarbon - A tool for machine learning prediction of global warming potential from abstract designs
doi	https://doi.org/10.52842/conf.ecaade.2022.2.601
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. 601–610
summary	The new construction that is projected to take place between 2020 and 2040 plays a critical role in embodied carbon emissions. The change in material selection is inversely proportional to the budget, as the project progresses. Given the fact that early-stage design processes often do not include environmental performance metrics, there is an opportunity to investigate a toolset that enables early-stage design processes to integrate this type of analysis into the preferred workflow of concept designers. The value here is that early-stage environmental feedback can inform the crucial decisions that are made in the beginning, giving a greater chance for a building with better environmental performance in terms of its life cycle. This paper presents the development of a tool called LearnCarbon, as a plugin of Rhino3d, used to educate architects and engineers in the early stages about the environmental impact of their design. It facilitates two neural networks trained with the Embodied Carbon Benchmark Study by Carbon Leadership Forum, which learn the relationship between building geometry, typology, and structure with the Global Warming potential in tCO2e. The first one, a regression model, is able to predict the GWP based on the massing model of a building, along with information about typology and location. The second one, a classification model, predicts the construction type given a massing model and target GWP. LearnCarbon can help improve the building life cycle impact significantly, through early predictions of the structure’s material, and can be used as a tool for facilitating sustainable discussions between the architect and the client.
keywords	Machine Learning, Carbon Emissions, LCA, Rhino Plug-in
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ecaade2022_122
id	ecaade2022_122
authors	Kinoshita, Airi, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2022
title	Enhanced Tracking Method with Object Detection for Mixed Reality in Outdoor Large Space
doi	https://doi.org/10.52842/conf.ecaade.2022.2.457
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. 457–466
summary	Mixed-reality landscape simulation is one of the visual methods used in landscape design studies. A markerless tracking method using image processing has been proposed for properly aligning the real and virtual worlds involved with landscape simulations in large spaces. However, this method is challenging because tracking breaks down if a dynamic object is encountered during the mixed-reality execution. In this study, we integrated deep-learning object detection with natural feature-based tracking, which tracks manually defined feature points (tracking reference points), with the aim of reducing the impact of moving objects such as people and cars on mixed-reality tracking. The prototype system was implemented and tracking was performed on pre-recorded video taken outdoors. Performance was verified in terms of the number of errors associated with tracking the reference points and the accuracy of the mixed-reality display results (camera pose estimation results). Compared to the conventional system, our system was able to reduce the influence of moving objects that cause errors when tracking reference points. The accuracy of the camera pose estimation results was also verified to be improved. This research will contribute to developing mixed-reality simulation systems for large-scale spaces that are accessible to everyone, including users in the architectural field.
keywords	Landscape Visualization, Mixed Reality, Object Detection, Tracking, Deep Learning
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ecaade2022_302
id	ecaade2022_302
authors	Lu, Xin, Meng, Zeyuan, Rodriguez, Alvaro Lopez and Pantic, Igor
year	2022
title	Reusable Augmented Concrete Casting System - Accessible method for formwork manufacturing through holographic guidance
doi	https://doi.org/10.52842/conf.ecaade.2022.1.371
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. 371–380
summary	Reinforced concrete has been one of the essential materials for modern architecture for the last hundred years. Its use is entirely global, having been adopted by all cultures and styles since its invention in the late 19th century. Although its value is excellent due to its low cost, durability and adaptability, its environmental impact is significant, being, in fact, one of the most polluting industries in the world (Babor et al. 2009). This experimental project will research a more sustainable use of concrete, exploring a new form of reusable concrete formwork that will ideally reduce the CO2 footprint by removing wood waste in the casting process and replacing it with adaptable metal components. The modular part-based system for the concrete casting also attempts to simplify one of the current complexities for concrete construction, the Skilled-Labour shortage. (Yusoff et al. 2021). To mitigate this problem, the project also proposes using an Augmented Assembly logic for the casting parts to guide the ensemble and dismantle the formwork through an optimised algorithmic logic. The use of Augmented Reality as a replacement for traditional paper instructions will facilitate access to more workers to this construction art and potentially improve access to optimised use of concrete in developing communities with restricted building technological resources.
keywords	Mixed Reality, Distributed Manufacturing, Augmented Manufacturing, Sustainability, Computational Design, Concrete Casting
series	eCAADe
email
last changed	2024/04/22 07:10

_id	caadria2022_424
id	caadria2022_424
authors	May, Kieran, Walsh, James, Smith, Ross, Gu, Ning and Thomas, Bruce
year	2022
title	UnityRev - Bridging the gap between BIM Authoring platforms and Game Engines by creating a Real-Time Bi-directional Exchange of BIM data
doi	https://doi.org/10.52842/conf.caadria.2022.2.527
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. 527-536
summary	We present UnityRev: An open-source software package that enables a workflow designed to facilitate a real-time bi-directional and synchronous exchange of Building Information Modelling (BIM) data, by creating a direct link between a BIM authoring platform (i.e. Autodesk Revit) and a game engine (i.e. Unity 3D). Although previous works have explored the integration of BIM with game engines, the currently available tools are limited to a non-synchronous or uni-directional exchange of BIM data, and they do not address specific design issues required to make a BIM authoring platform and game engine compatible (i.e. parametric modelling). This paper describes our software which consists of a compact overview of the system, including design decisions, implementation details, and system capabilities. Two example applications are presented as concept demonstrators to -10795864108000showcase practical collaborative use-case scenarios between BIM authoring platforms and game engines which were not previously achievable without a real-time bi-directional workflow. This work will expand future Computer Aided Architectural Design (CAAD) research, and more specifically, Virtual Reality (VR)/Augmented Reality (AR) based BIM development and integration, by providing new possibilities and bridging the gap between BIM authoring platforms and game engines. The application of the system as demonstrated in the paper for real-time lighting performance simulation contributes to achieving the UN Sustainable Development Goal 11: Sustainable Cities and Communities.
keywords	building information modelling, game engines, revit, unity, virtual reality, augmented reality, lighting performance simulation, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_271
id	caadria2022_271
authors	Napier, Ilaena Mariam
year	2022
title	Robotically Printed Seaweed as a Biomaterial within Architecture and Design
doi	https://doi.org/10.52842/conf.caadria.2022.2.303
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. 303-312
summary	This research aims to develop and understand the impact of seaweed as a bio-based material within architecture and design. The research is influenced by current global challenges, outlined by the Sustainable Development Goals (SDG), such as carbon drawdown, the problem of material waste, and the need to create more sustainable manufacturing processes. Seaweed is an organic biomass that does not require land, fresh water or fertilisers to grow, and growing it can reduce the effects of global warming as it sequesters large amounts of carbon dioxide. In turn, it can be harvested and used for a range of products including food, biofuel, fertiliser and bioplastic. The research focuses on the development of an organic, water-based biocomposite material made from sodium alginate, a derivative of brown seaweed, combined with cellulose powder, vegetable glycerine, and kelp powder. A set of methodical experiments were conducted and studied, with the aim of creating a novel material which can adapt to its surrounding environment and can degrade naturally. By creating and fabricating using renewable resources, one can create novel materials that are carbon neutral and contribute to a natural resource cycle. Ultimately, the material decays and returns to the earth, for the purpose of remediating soils and replenishing growth.
keywords	Seaweed Biocomposite Material, Paste Extrusion Method, Water-based Robotic Fabrication, Circular Design, SDG 12, SDG 13, SDG 14
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ascaad2022_110
id	ascaad2022_110
authors	Salem, Mona; Moussa, Ramy
year	2022
title	A Hybrid Approach Based on Building Physics and Machine Learning for Thermal Comfort Prediction in Smart Buildings
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. 253-263
summary	One of the most important challenges facing the world is the application of modern technology in order to create smart buildings that achieve sustainable development goals (SDGs). Thermal comfort and reduction of energy consumption in buildings are considered important factors which, in turn, are reflected in creating a healthy environment and improving human productivity. Internet of Things (IoT) provides an ideal solution for collecting real-time data on the factors affecting indoor thermal comfort and energy consumption. However, comfort level is subjective and depends on many factors, which may not be learned by conventional models, an integrated model depending on thermal comfort factors is needed. In this work, a hybrid physics-based model incorporated with machine learning techniques is used for the prediction of thermal comfort inside buildings. XGBoost (eXtreme Gradient Boost) algorithm method was used due to its abilities to handle complex problems. A calculated dataset was extracted from the physics-based model gathered with the environmental variables data such as humidity, moisture, temperature, and air velocity collected from IoT devices. The results show an improvement in the prediction of the thermal comfort approach as compared with the conventional models. The XGBoost algorithm can exhibit an effective solution for eliminating deficiencies of traditional models and can be used when designing smart buildings, simulating, and evaluating the designed buildings, controlling energy consumption, and achieving thermal comfort.
series	ASCAAD
email
last changed	2024/02/16 13:38

_id	ecaade2022_346
id	ecaade2022_346
authors	Sartorius, Marie P. and von Both, Petra
year	2022
title	Rule-Based Design for the Integration of Humanoid Assistance Robotics into the Living Environment of Senior Citizens
doi	https://doi.org/10.52842/conf.ecaade.2022.2.367
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. 367–376
summary	The following paper deals with the hypothesis that in a few years, the everyday lives of seniors and those in need of care will be considerably facilitated by using humanoid assistance robots to improve and prolong their independent lives. The interdisciplinary research project JuBOT of the Karl-Zeiss Foundation deals with developing and applying AI-supported humanoid robots in seniors living spaces. In the research area of architecture, several questions arise in the sense of co-design: Which requirements and design rules can be derived and generalised to develop suitable typologies? And how can these requirements of robotics and buildings be integrated into a digital design process? In this matter, a master thesis identified and categorised areas of action for the assistance robot through a user- and function-based analysis process. Afterwards, a proposal for a generalisable typology for residential modules has been developed, applied, and evaluated. In addition to gaining architectural knowledge, the JuBOT project is also about implementing a suitable digital design process. Thus, the identified planning requirements must be implemented in a BIM-based checking process (ModelCheck).
keywords	Senior Residence, Accessibility, Care Concept, Living Concept, Architectural Psychology, Assistant Robot, BIM, Building Information Modeling, ModelCheck
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ecaade2022_431
id	ecaade2022_431
authors	Sieder-Semlitsch, Jakob and Nicholas, Paul
year	2022
title	Self-Serveying Multi-Robot System for Remote Deposition Modelling
doi	https://doi.org/10.52842/conf.ecaade.2022.1.233
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. 233–240
summary	The need for increased automation of the AEC sector has been extensively documented within the architectural discipline over recent years. Far beyond economic perspectives, current advances in technology offer an increased and more direct implementation of sustainable materials. Within this research, the potential for the re-use of material with low embodied energy within automated construction will be examined. Herefore, Remote Material Deposition (RDM, firstly described in Dörfler et al., 2014) is utilized as main fabrication method, deploying varying compositions of local building debris, lime mortar, and sand, via a throwing arm. This research explores a method of continuous verification of material deployment and removal of material oversaturation to guarantee accuracy. Herefore, all instances of the robot ecology are in direct communication with one another and the user for verification, adaptation, and information. The proposed framework is examined through experimentation by designing, building, and implementing an inter-communicative network of bespoke semi-autonomous robots with all proposed parts of the system.
keywords	Construction Automation, Material Reuse, Onsite Construction, Self Verifying System, Robot Ecology, Additive Manufacturing
series	eCAADe
email
last changed	2024/04/22 07:10

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