Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	ecaade2022_194
id	ecaade2022_194
authors	Fuchkina, Ekaterina, Bielik, Martin, Schneider, Sven, Ossenberg-Engels, Tobias and Hämmerle, Alexander
year	2022
title	Space Matcher - An interactive toolbox for assisting in spatializing & testing office programmes using graph centralities
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. 39–46
doi	https://doi.org/10.52842/conf.ecaade.2022.2.039
summary	Graph-based representations of functional requirements (adjacencies, bubble diagram) are a common and useful method that supports architects in the conceptual phase of planning. However, the task of specifying the functional requirements through an adjacency graph can be challenging due to a quadratic growth of complexity in relation to the number of spaces. In turn, this increase of complexity challenges the designer searching for solutions that fulfill these functional requirements. There are systems that aim to address the difficulties related to graph-based space allocation. They, for instance, use fuzzy logic to weight the edges of a graph (i.e., specify relations between spaces) and spring systems (Newtonian gravitation model) to visually clarify the resulting proximity of all spaces according to the rules. Nevertheless, the problem of specifying large-scale adjacencies itself is omitted due to the assumption that such matrices are correctly filled in some previous steps. Moreover, the translation of the resulting graph into a spatial configuration is rarely supported. This work addresses these limitations and proposes a set of tools to assist the designer when defining the adjacency requirements and searching for design solutions that fulfill these requirements. Our approach aims to reduce the complexity of the design task by using graph centrality-based design heuristics. We discuss these heuristics and show their application in a scenario where a new spatial program needs to be allocated into an existing building.
keywords	Graph Theory, Adjacency Graph, Bubble Diagram, Space Planning
series	eCAADe
email
last changed	2024/04/22 07:10

_id	caadria2022_140
id	caadria2022_140
authors	Huang, Shuyi and Zheng, Hao
year	2022
title	Morphological Regeneration of the Industrial Waterfront Based on 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. 475-484
doi	https://doi.org/10.52842/conf.caadria.2022.1.475
summary	The regeneration of the industrial waterfront is a global issue, and its significance lies in transforming the waterfront brownfield into an eco-friendly, hospitable, and vibrant urban space. However, the industrial waterfront naturally has comparatively unmanageable morphological features, including linear shape, irregular waterfront boundary, and separation with urban networks. Therefore, how to subdivide the vacant land and determine the land-use type for each subdivision becomes a challenging problem. Accordingly, this study proposes an application of machine learning models. It allows the generation of morphological elements of the vacant industrial waterfront by comparing the before-and-after scenarios of successful regeneration projects. The data collected from New York City is used as a showcase of this method.
keywords	machine learning, urban morphology, industrial waterfront regeneration, sustainable cities, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ecaade2022_203
id	ecaade2022_203
authors	Kim, Frederick Chando and Huang, Jeffrey
year	2022
title	Perspectival GAN - Architectural form-making through dimensional transformation
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. 341–350
doi	https://doi.org/10.52842/conf.ecaade.2022.1.341
summary	With the ascendance of Generative Adversarial Networks (GAN), promising prospects have arisen from the abilities of machines to learn and recognize patterns in 2D datasets and generate new results as an inspirational tool in architectural design. Insofar as the majority of ML experiments in architecture are conducted with imagery based on readily available 2D data, architects and designers are faced with the challenge of transforming machine-generated images into 3D. On the other hand, GAN-generated images are found to be able to learn the 3D information out of 2D perspectival images. To facilitate such transformation from 2D and 3D data in the framework of deep learning in architecture, this paper explores making new architectural forms from flat GAN images by employing traditional tools of projective geometry. The experiments draw on Brook Taylor’s 19th- century theorem of inverse projection system for creating architectural form from perspectival information learned from GAN images of Swiss alpine architecture. The research develops a parametric tool that automates the dimensional transformation of 2D images into 3D architectural forms. This research identifies potential synergic interactions between traditional tools and techniques of architects and deep learning algorithms to achieve collective intelligence in designing and representing creative architecture forms between humans and machines.
keywords	Machine Learning, GAN, Architectural Form, Perspective Projection, Inverse Perspective, Digital Representation
series	eCAADe
email
last changed	2024/04/22 07:10

_id	caadria2022_42
id	caadria2022_42
authors	Chen, Jielin and Stouffs, Rudi
year	2022
title	Robust Attributed Adjacency Graph Extraction Using Floor Plan Images
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. 385-394
doi	https://doi.org/10.52842/conf.caadria.2022.2.385
summary	Architectural design solutions are intrinsically structured information with a broad range of interdependent scopes. Compared to conventional 2D Euclidean data such as orthographic drawings and perspectives, non-Euclidean data (e.g., attributed adjacency graphs) can be more effective and accurate for representing 3D architectural design information, which can be useful for numerous design tasks such as spatial analysis and reasoning, and practical applications such as floor plan parsing and generation. Thus, getting access to a matching attributed adjacency graph dataset of architectural design becomes a necessity. However, the task of conveniently acquiring attributed adjacency graphs from existing architectural design solutions still remains an open challenge. To this end, this project leverages state-of-the-art image segmentation techniques using an ensemble learning scheme and proposes an end-to-end framework to efficiently extract attributed adjacency graphs from floor plan images with diverse styles and varied levels of complexity, aiming at addressing generalization issues of existing approaches. The proposed graph extraction framework can be used as an innovative tool for advancing design research infrastructure, with which we construct a large-scale attributed adjacency graph dataset of architectural design using floor plan images retrieved in bulk. We have open sourced our code and dataset.
keywords	attributed adjacency graph, floor plan segmentation, ensemble learning, architectural dataset, SDG 9
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ecaade2022_172
id	ecaade2022_172
authors	Vugreshek, Zvonko
year	2022
title	Discrete Differences between Aggregate Systems for Generative Urban and Architectural Design
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. 29–38
doi	https://doi.org/10.52842/conf.ecaade.2022.2.029
summary	The activation of aggregate systems, procedural generation, and other models of discrete computation result in different organizations and formal outcomes. Some differences seem blurry but are relevant to understand in order to govern the computational design process in the specific domain. They are developing around empiric principles, are based on discrete automation rule sets, and are intertwined in various ways. The paper presents and describes some differences and communalities between each system. Its goal is to support the computational designer, architect or urban planner in the decision-making process and choice of which system could work best in a given context and to solve a specific problem. An introduction into aggregation or automation will serve as a foundation for the research. The discrete systems Cellular Automata, Wave Function Collapse, Graph-Grammar Aggregation will be described. In this paper, the latter is specified as selection-based-aggregation. Diffusion-Limited Aggregation (DLA), which is regarded as an early translation of natural behaviour into scripted nature will serve as a framework. In a next step potential and utilization of these discrete systems in expanding the language of architectural and urban morphology will be experimentally demonstrated and compared. The paper concludes by suggesting a current state of development and potential adaptation of the methods for broader use within the architectural and urban design paradigm of developing methods for the creation of new computational typologies.
keywords	Discrete Aggregation, Cellular Automata, Procedural Generation, Urban Morphology Generation, Wave Function Collapse
series	eCAADe
email
last changed	2024/04/22 07:10

_id	caadria2022_76
id	caadria2022_76
authors	Zahedi, Ata and Petzold, Frank
year	2022
title	Revit Add-In for Documenting Design Decisions and Rationale, a Bim-Based Tool to Capture Tacit Design Knowledge and Support Its Reuse
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. 557-566
doi	https://doi.org/10.52842/conf.caadria.2022.2.557
summary	The building design is a problem-solving process in which the demands of the customer are turned into a design job. Throughout the design process, several specialists from various fields cooperate to develop the final design. The key deliverables that are exchanged and passed over are the generated designs. However, no explanation of design intentions or evidence of argumentations behind the design decisions is included in the design deliverables. Design documentation helps with communication and coordination between designers and other domain experts and stakeholders. Proper design documentation also preserves and protects corporate design knowledge and makes it available for future design problems and projects. This paper presents the implementation of an add-in for Revit that features the concepts of so-called Explanation Tags and Design Episodes to digitally explain and document design rationale and decisions, and ultimately capture the tacit design knowledge. As an extra feature, the add-in also enables the export of design episodes to a Graph-Database (Neo4j) as well as CSV files for future reference and use. Subsequently, the goal is to search and query inside the graph database for similar designs that can solve and answer the new design tasks in the future. This paper contributes to the UN Sustainable Development Goals, namely SDG 9 & SDG 11 among others.
keywords	Design Documentation, Explanation Tags, Design Episodes, Building Information Modelling (BIM), Design Rationale, SDG 9, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_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	sigradi2022_94
id	sigradi2022_94
authors	Melo Santos Paulino, Daniele; J Knapp, Cooper; Ligler, Heather; Napolitano, Rebecca
year	2022
title	The Reviver Grammar: transforming the historic center of Sao Luís through social housing
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 347–358
summary	This work explores the potential of Shape Grammars in generating solutions for the adaptive reuse of historic buildings. It proposes a transformation grammar for the Sobrado building, a typology present in the historic center of Sao Luís. The methodology proposes a framework for adapting buildings into multi-family apartments, considering spatial and structural requirements. The grammar aims to develop a formalism for repurposing historic buildings into social housing and considers the allocation of three types of apartments in the floor plan: studios, one-bedroom, and two-bedroom apartments. The adopted strategy for the distribution of internal spaces considers opening elements, such as windows and balconies, allowing to benefit from the natural daylighting characteristics of the buildings. This paper describes the grammar rules and its application to a case study building, aiming to demonstrate how the grammar supports different layout solutions for the same design space.
keywords	shape grammars, adaptive reuse, generative design, mass customization, sustainability
series	SIGraDi
email
last changed	2023/05/16 16:55

_id	sigradi2022_6
id	sigradi2022_6
authors	Abu-Aridah, Dima; Ligler, Heather
year	2022
title	From Shelter to Home: Transformation Grammar of Housing Units in Irbid Refugee Camp
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 311–322
summary	This paper presents research on the design challenges in refugee camps where “temporary" shelters often evolve into permanent homes and larger communities. These transformations convey an informal design process, a phenomenon evident in Irbid Camp for Palestinian refugees in Jordan. To study this site and design process in detail, shape rules based on the transformation of ten individual housing units are developed, with consideration of area and growth limitations inside the refugee camp. The Irbid Camp Grammar reveals a modular, grid-based logic at play in the incremental and spontaneous design of refugee housing from temporary shelters to permanent homes. This study is one step forward in helping us understand how formalizing this growth logic can contribute to the design of better emergency housing interventions in the future.
keywords	Shape grammars, Emergency housing, Refugee housing, Housing transformation, Informal settlements
series	SIGraDi
email
last changed	2023/05/16 16:55

_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	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
email
last changed	2024/04/22 07:10

_id	ascaad2022_014
id	ascaad2022_014
authors	Alani, Mostafa; Alacam, Sema
year	2022
title	Beyond Flat Surfaces: Parametric Derivations of Historical Islamic Geometric Designs
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. 451-462
summary	This paper sets out to identify a guiding methodology and define algorithms to extend the existence of Islamic geometric designs beyond flat surfaces. The paper discusses two computational approaches to deriving various non-flat geometric compositions: Euclidean Point Extrusion and Curved Surface Fitting. The paper examines historical precedents, conducts an in-depth analysis of patterns employed to generate those elements, then establishes a computational process to explore the potential of translating 2D Islamic Geometric Designs into 3D non-flat surfaces.
series	ASCAAD
email
last changed	2024/02/16 13:24

_id	sigradi2022_133
id	sigradi2022_133
authors	Ambrósio Faria, Igor; Carmo Pena Martínez, Andressa
year	2022
title	Wikihouse: a parametric approach to generate different spatial arrangements
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 139–150
summary	Wikihouse is an open-source, modular, digitally fabricated building system. Despite being the object of many studies in different countries, most of these experiences present a sequence of frames that generate only linear forms without formal variations. In this sense, this study aims to develop a geometry that allows more variations through the repetition of the same module. For this purpose, the research uses visual algorithmic modeling in Grasshopper to generate the geometry. As a result, we inserted the frames into a trapezium and mirrored the main profile, which kept the number of pieces. In future research, we intend to optimize the number of parts, reduce the cost and production time, and build a 1:1 module for validating its constructive stability.
keywords	Generative Design, Digital Fabrication, Open Design
series	SIGraDi
email
last changed	2023/05/16 16:55

_id	sigradi2022_236
id	sigradi2022_236
authors	Amorim, Leonardo Edson; Sampaio, Hugo Guimaraes; Moreira, Eugenio; Cunha, Aura; Pereira, Dimitri; Isabelle, Lygia; Marques, Adrisia; Vieira, Roberto; Cardoso, Daniel
year	2022
title	Form, Data, Matter: photogrammetry and digital fabrication at the service of safeguarding the built cultural heritage
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 921–932
summary	Documentation of built cultural heritage is an important safeguarding strategy. However, the use of traditional documentation techniques, based on the direct acquisition of measurements with analog devices, makes the process time-consuming, inaccurate, and often inadequate for recording complex shapes, often found in the ornaments of certain architectural styles. This work explores the use of photogrammetry combined with digital fabrication in order to develop a methodology to document these elements of high geometric complexity, creating a workflow that connects digital techniques to traditional materialization techniques, exploring the potential of documentation to translate back into matter similar to that of the documented object. Seeking to validate these workflows, a series of prototypes are made in different materialities to evaluate the different techniques employed.
keywords	Digital Heritage, Digital Fabrication, Built Cultural Heritage, Restoration, Photogrammetry
series	SIGraDi
email
last changed	2023/05/16 16:57

_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
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
doi	https://doi.org/10.52842/conf.ecaade.2022.2.437
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	caadria2022_208
id	caadria2022_208
authors	Bielski, Jessica, Langenhan, Christoph, Ziegler, Christoph, Eisenstadt, Viktor, Petzold, Frank, Dengel, Andreas and Althoff, Klaus-Dieter
year	2022
title	The What, Why, What-If and How-To for Designing Architecture, Explainability for Auto-Completion of Computer-Aided Architectural Design of Floor Plan Layouting During the Early Design Stages
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. 435-444
doi	https://doi.org/10.52842/conf.caadria.2022.2.435
summary	In the next thirty years, the world's population is expected to increase to ten billion people, posing major challenges for the construction industry. To meet the growing demands for residential housing in the future, architects need to work faster, more efficiently, and more sustainably, while increasing architectural quality. The hypothetical intelligent design assistant WHITE BRIDGE, based on the methods of the 'metis' projects, suggests further design steps to support the architectural design decision-making processes of the early design phases. This facilitates faster and better decisions early in the process for a more responsible resource consumption, better mental well-being, and ultimately economic growth. Through a case study we investigate if additional information supports the understanding of these suggestions to reduce the cognitive workload of architectural design decisions on the backdrop of their respective representation. The paper contributes an approach for visualising explanations of an intelligent design assistant, their integration into paper prototypes for case studies, and a workflow for data collection and analysis. The results suggest that the cognitive horizon of the architects is broadened by the explanations, while the visualisation methods significantly influence the usefulness and use of the conveyed information within the explanations.
keywords	Explainability, Artificial intelligence, XAI, SDG 3, SDG 8, SDG 12
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	acadia22_208
id	acadia22_208
authors	Blaney, Adam; Ozkan, Dilan; Pelit, Emel; Fonseca Braga, Mariana; Hardy, John G.; Ashton, Mark ; ,
year	2022
title	Parametric Matter
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. 208-223.
summary	This paper discusses an ongoing interdisciplinary research project that develops a design and fabrication approach termed; tunable environments. This is an explorative approach, which enables updates from a digital parametric interface to be ‘pushed' into a 2D, 18 x 18 cm material sample, by modulating stimuli, so multiple properties can be updated/tuned at high resolutions. Our prototype explores how iterative updates can be achieved, which can be temporarily frozen in time. This opens up the idea of creating Parametric Matter/circular mate- rials, which could reduce waste that can be attributed to typical linear processes. Additionally, highly bespoke, ‘time-based’ structures could be achieved
series	ACADIA
type	paper
email
last changed	2024/02/06 14:00

_id	caadria2022_507
id	caadria2022_507
authors	Bolojan, Daniel, Vermisso, Emmanouil and Yousif, Shermeen
year	2022
title	Is Language All We Need? A Query Into Architectural Semantics Using a Multimodal Generative Workflow
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. 353-362
doi	https://doi.org/10.52842/conf.caadria.2022.1.353
summary	This project examines how interconnected artificial intelligence (AI)-assisted workflows can address the limitations of current language-based models and streamline machine-vision related tasks for architectural design. A precise relationship between text and visual feature representation is problematic and can lead to "ambiguity‚ in the interpretation of the morphological/tectonic complexity of a building. Textual representation of a design concept only addresses spatial complexity in a reductionist way, since the outcome of the design process is co-dependent on multiple interrelated systems, according to systems theory (Alexander 1968). We propose herewith a process of feature disentanglement (using low level features, i.e., composition) within an interconnected generative adversarial networks (GANs) workflow. The insertion of natural language models within the proposed workflow can help mitigate the semantic distance between different domains and guide the encoding of semantic information throughout a domain transfer process.
keywords	Neural Language Models, GAN, Domain Transfer, Design Agency, Semantic Encoding, SDG 9
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_258
id	caadria2022_258
authors	Chen, Hao, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2022
title	Developing an Augmented Reality System with Real-Time Reflection for Landscape Design Visualization, Using Real-Time Ray Tracing Technique
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. 89-98
doi	https://doi.org/10.52842/conf.caadria.2022.1.089
summary	In landscape design, visualization of a new design on the site with clients can greatly improve communication efficiency and reduce communication costs. The use of augmented reality (AR) allows the projection of design models into the real environment, but the relationship between the models and the physical environment, such as reflections, which are often thoughtfully considered in waterfront landscape design, is difficult to express in existing AR systems. The aim of this study is to accurately render and express the reflections of virtual models in the physical environment in an AR system. Different from traditional rasterized rendering, this study used physically correct ray-tracing algorithms for reflection rendering calculations. Using a smartphone and a computer, we first constructed a basic AR system using a game engine and then performed ray-tracing computations using a shader kernel in the game engine. Finally, we combined the rendering results of reflections with the video stream from a smartphone camera to achieve the reflection effect of a virtual model in a physical environment. Both designers and clients could review the design with a realistic reflection on an actual water surface and discuss design decisions through this system.
keywords	Augmented reality (AR), reflection, landscape design, interactive visualization, real-time rendering, planar reflection, real-time ray tracing, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ecaade2022_169
id	ecaade2022_169
authors	Chen, Ting-Chia, Tsai, Tsung-Han, Huang, Ching-Wen and Wang, Shih-Yuan
year	2022
title	Compliant Mechanism Moulding via NiChrome Wire Sintering Method
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. 281–290
doi	https://doi.org/10.52842/conf.ecaade.2022.1.281
summary	This research proposed a unique process for the rapid manufacturing of large-scale compliant mechanism components. Using the characteristics of the NiChrome wire sintering method, it aims to rapidly fabricate a large-scale compliant mechanism model at low cost. NiChrome wire sintering is a method in which NiChrome wire is wound into a target pattern and then placed in a hot-melt material (TPU powder) to be energized and moulded. The low cost, high degree of freedom and one-piece characteristic of this new method bring new possibilities for the manufacturing process of compliant mechanism components. This research applies a new fabrication method to reduce the production cost and manufacturing difficulty of large kinetic installations. In benefitting from the non-mechanical wear characteristics of compliant mechanisms, the service life of manufactured installations can be greatly prolonged as well. The new fabrication method demonstrates an efficient way to produce a large scale of kinetic structure and provides a toolkit for designers.
keywords	Nichrome Wire Sintering, Rapid Prototyping, Elastic Material, Digital Fabrication, Compliant Mechanism
series	eCAADe
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last changed	2024/04/22 07:10

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