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	acadia23_v2_104
id	acadia23_v2_104
authors	Brandiæ Lipiñska, Monika; Dade-Robertson, Martyn; Zhang, Meng
year	2023
title	Space Architecture, Biotechnology, and Parametric Processes: Design through Assembly, Growth, and Fabrication Parameters in an Iterative Feedback Loop
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 2: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-0-3]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 104-115.
summary	Resource scarcity in extraterrestrial environments, like the Moon or Mars, imposes limitations on construction, necessitating resource and energy optimization. To respond to these challenges, this paper explores the development of a parametric framework, bridging the fields of space architecture, biotechnology, and parametric processes, allowing for the development of energy and resource-efficient structural components. The foundation for the framework is built upon ongoing research conducted in collabo- ration with NASA Ames Research Center, focusing on a mycelium-based aggregation of Martian regolith for construction. Due to the nature of the material and targeted environ- ment, the proposed parametrization process is based on specific assembly, growth, and fabrication requirements. The framework incorporates a feedback loop between design, computational simulation, and physical testing. The interaction of multiple systems, imple- mented through an iterative process and hybrid design approaches, enable continuous design refinement. These systems incorporate inputs from the interconnected disciplines that pose challenges when evaluated separately. The paper recognizes the challenge of identifying crucial parameters and implicit actions, and bridging the gap between theory and implementation. It calls for further work on programming the parametrization frame- work, and integrating computational simulations and data evaluation. In emphasizing the interdisciplinary nature of future space exploration and architecture, this paper under- scores the significance of integrating diverse disciplines and technologies.
series	ACADIA
type	paper
email
last changed	2024/12/20 09:12

_id	sigradi2023_63
id	sigradi2023_63
authors	Cambise, Vincenzo, Valdes, Francisco and Quitral-Zapata, Francisco
year	2023
title	Martian Modular Shielding Optimization Prototype
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 1645–1654
summary	An ionizing radiation resistant structure is proposed to complement an inflatable habitat on the surface of Mars. The proposal is based on a modular construction system using in-situ resources (ISRU) such as regolith-based concrete and high-density polyethylene (HDPE). These materials are proposed to develop a series of modular multi-layered structural components to mitigate the radiation received by the habitat. Simultaneously, a site selection criterion and a shielding optimization algorithm are proposed as radiation mitigation measures. To test these measures, several radiobiological analyses were performed on the OLTARIS platform to evaluate the measured dosimetry inside the habitat in different configurations. The shielding modules are interconnected by snap or friction connections to facilitate the assembly and disassembly process. Overall, the combined radiation shielding measures showed a reliable performance alongside the structural results of the finite element analysis (FEA), suggesting acceptable radiation dosimetry and construction feasibility.
keywords	Programming Cultures, Modular construction, Radiation optimization, Catenary shell, Martian habitat
series	SIGraDi
email
last changed	2024/03/08 14:09

_id	ecaade2023_51
id	ecaade2023_51
authors	Aman, Jayedi, Kim, Jong Bum and Verniz, Debora
year	2023
title	AI-Integrated Urban Building Energy Simulation: A framework to forecast the morphological impact on daylight availability
doi	https://doi.org/10.52842/conf.ecaade.2023.2.369
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 369–378
summary	The research presents a computational framework to investigate the relationship between urban morphology and environmental performance metrics of buildings. Understanding how buildings interact with their surroundings is crucial in optimizing environmental performance. Current urban building energy simulation methods (UBES) often overlook the complex interaction between urban morphology and environmental performance across a diverse set of attributes, resulting in inaccuracies. The proposed framework integrates machine learning (ML) with physics-based simulations and includes Parametric Building Information Modeling, iterative physics-based simulations, Multi-Objective Optimization, and a graph neural network. The framework leverages the detailed analysis capabilities of physics-based simulations and the data processing strengths of ML to analyze urban morphological attributes. Evaluations indicate that the framework enhances prediction accuracy while considering the influence of urban morphology on environmental performance.
keywords	Urban Morphology, Urban Building Energy Modeling, Graph Neural Networks, Sustainable Urban Development, Environmental Performance, Multi-objective Optimization
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ecaade2023_328
id	ecaade2023_328
authors	Andreou, Alexis, Kontovourkis, Odysseas, Solomou, Solon and Savvides, Andreas
year	2023
title	Rethinking Architectural Design Process using Integrated Parametric Design and Machine Learning Principles
doi	https://doi.org/10.52842/conf.ecaade.2023.2.461
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 461–470
summary	Artificial Intelligence (AI) has the potential to process vast amounts of subjective and conflicting information in architecture. However, it has mostly been used as a tool for managing information rather than as a means of enhancing the creative design process. This work proposes an innovative way to enhance the architectural design process by incorporating Machine Learning (ML), a type of Artificial Intelligence (AI), into a parametric architectural design process. ML would act as a mediator between the architects' inputs and the end-users' needs. The objective of this work is to explore how Machine Learning (ML) can be utilized to visualize creative designs by transforming information from one form to another - for instance, from text to image or image to 3D architectural shapes. Additionally, the aim is to develop a process that can generate comprehensive conceptual shapes through a request in the form of an image and/or text. The suggested method essentially involves the following steps: Model creation, Revisualization, Performance evaluation. By utilizing this process, end-users can participate in the design process without negatively affecting the quality of the final product. However, the focus of this approach is not to create a final, fully-realized product, but rather to utilize abstraction and processing to generate a more understandable outcome. In the future, the algorithm will be improved and customized to produce more relevant and specific results, depending on the preferences of end-users and the input of architects.
keywords	End-users, Architects, Mass personalization, Visual programming, Neural Network Algorithm
series	eCAADe
email
last changed	2023/12/10 10:49

_id	caadria2023_44
id	caadria2023_44
authors	Asaf, Ofer, Bentur, Arnon, Klein, Tamir and Sprecher, Aaron
year	2023
title	3D Printed Soil-Based Bioclimatic Envelopes for Tree Seedlings in Drylands
doi	https://doi.org/10.52842/conf.caadria.2023.2.583
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 583–592
summary	Afforestation in drylands is an active ecosystem restoration strategy shown to increase ecosystem services in these regions, which are highly prone to land degradation. Nevertheless, seedling recruitment is difficult in such projects due to various biotic and abiotic stresses. This paper proposes a methodology for providing tree seedlings in drylands with 3D-printed soil-based bioclimatic envelopes. The workflow suggests key aspects in transforming locally sourced soils to 3D printable, bioclimatically performable materials. Essential robotic tooling aspects and processing parameters are proposed. In addition, ways to embed site-specific data to algorithmically conceive a customized envelope according to the tree species are suggested.
keywords	Ecosystem restoration, Afforestation, Tree shelters, Soil-based 3D Printing, Bioclimatic Architecture, Robotic Fabrication
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	ecaade2023_71
id	ecaade2023_71
authors	Austern, Guy, Yosifof, Roei and Fisher-Gewirtzman, Dafna
year	2023
title	A Dataset for Training Machine Learning Models to Analyze Urban Visual Spatial Experience
doi	https://doi.org/10.52842/conf.ecaade.2023.2.781
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 781–790
summary	Previous studies have described the effects of urban attributes such as the Spatial Openness Index (SOI) on pedestrians’ experience. SOI uses 3-dimensional ray casting to quantify the volume of visible space from a single viewpoint. The higher the SOI value, the higher the perceived openness and the lower the perceived density. However, the ray casting simulation on an urban-sized sampling grid is computationally intensive, making this method difficult to use in real-time design tools. Convolutional Neural Networks (CNN), have excellent performance in computer vision in image processing applications. They can be trained to predict the SOI analysis for large urban fabrics in real-time. However, these supervised learning models need a substantial amount of labeled data to train on. For this purpose, we developed a method to generate a large series of height maps and SOI maps of urban fabrics in New York City and encoded them as images using colour information. These height map - SOI analysis image pairs can be used as training data for a CNN to provide rapid, precise visibility simulations on an urban scale.
keywords	Visibility Analysis, Machine Learning, CNN, Perceived Density
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ecaade2023_92
id	ecaade2023_92
authors	Buš, Peter, Russell, Peter, Curry, Terrence and Wu, Chaoyun
year	2023
title	A Parametric Tolerance Model for Numerically Controlled Digital Fabrication: Adaptation of kit-of-parts components for a pre-manufactured WikiHouse scenario
doi	https://doi.org/10.52842/conf.ecaade.2023.1.551
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 1, Graz, 20-22 September 2023, pp. 551–558
summary	Numerically controlled digital fabrication (NC) encompasses precise toolpaths generated according to the predefined geometry, material characteristics, type of machining processes, and processing tools. This includes a definition of tolerances, necessary for a successful and smooth assembly process when dealing with component-driven assembly after the components were fabricated. However, the prototyping and assembly practice often encounters a variety of issues in real fabrication and assembly scenarios: humidity of the environment, specific material properties, such as the ability of the stock material to change its dimensions according to the unexpected environmental conditions, unexpected different dimensions of the stock material delivered from a factory or a producer, variety of fabrication producers with different machine types, or unique conditions of a production machine. Therefore, there is a need to adapt the geometry of components to different humidity scenarios and combinations of stock material properties or specific machine or production-related processes, which influence the dimensions, and the tolerances embedded into the process of toolpath generation. To address these, we introduce an adaptive parametric model. This has been created as an open-source and open-access algorithm within the Grasshopper environment to easily modify the dimensions of tolerances according to specific and unexpected conditions. The paper also elaborates on and discusses the limitations of such an approach and the scalability and extendibility of the proposed tolerance engine.
keywords	tolerance model, digital manufacturing, intelligent kit-of-parts assemblies
series	eCAADe
email
last changed	2023/12/10 10:49

_id	sigradi2023_375
id	sigradi2023_375
authors	Consalter Diniz, Maria Luisa, Polverini Boeing, Lais, dos Santos Carvalho, Wendel and Bertola Duarte, Rovenir
year	2023
title	Natural Language Processing, Sentiment Analysis, and Urban Studies: A Systematic Review
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 1761–1772
summary	This paper discusses the potential of using data from social media and location data platforms to create cartographies that enhance our understanding of urban dynamics. Natural Language Processing (NLP) and sentiment analysis are highlighted as essential tools for comprehending and categorizing this data. The study conducted a systematic review of NLP and sentiment analysis applications in urban studies, covering 27 peer-reviewed journals and conference papers published between 2018 and 2023. The research classified applications into six categories: urban livability, governance and management, user and landscape perception, land use and zoning, public health, and transportation and mobility. Most studies primarily relied on data from social media platforms like Twitter and location data sources such as Google Maps and Trip Advisor. Challenges include dealing with irrelevant or misleading information in publicly available data and limited accuracy when analyzing sentiments of non-English-speaking populations.
keywords	Natural language processing, Sentiment analysis, Urban studies, Digital cartographies, Systematic review.
series	SIGraDi
email
last changed	2024/03/08 14:09

_id	caadria2023_244
id	caadria2023_244
authors	Cutellic, Pierre
year	2023
title	An Inverse Modeling Method to Estimate Uncertain Spatial Configurations From 2D Information and Time-Based Visual Discriminations
doi	https://doi.org/10.52842/conf.caadria.2023.1.261
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 261–270
summary	This paper focuses on a specific aspect of human visual discrimination from computationally generated solutions for CAAD ends. The bottleneck at work here concern informational ratios of discriminative rates over generative ones. The amount of information that can be brought to a particular sensory modality for human perception is subject to bandwidth and dimensional limitations. This problem is well known in Brain-Computer Interfaces, where the flow of relevant information must be maintained through such interaction for applicative ends and adoption of use in many fields of human activity. While architectural modeling conveys a high level of complexity in its processes, let alone in the presentation of its generated design solutions, promises in applicative potentials of such interfaces must be made aware of these fundamental issues and need developments of appropriate sophistication. This paper addresses this informational bottleneck by introducing a method to retrieve spatial information from the rapid serial visual presentation of generated pictures. This method will be explained and defined as inverse modeling, based on inverse graphics, and its relation to human visual processing.
keywords	Neurodesign, Design Computing and Cognition, Brain-Computer Interfaces, Generative Design, Computer Vision
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	acadia23_v2_194
id	acadia23_v2_194
authors	Dade-Robertson, Martyn; Arnardottir, Thora; Lee, Sunbin; Loh, Joshua; Gilmour, Katie; Zhang, Meng
year	2023
title	Engineered Living Fabrication: Combining hardware, wetware and software for the non-entropic guided growth of microbial cellulose
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 2: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-0-3]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 194-204.
summary	This research presents the development and application of an Engineered Living Fabrication (ELF) system, a novel approach for fabricating materials using biological self-assembly and robotic hardware. The ELF system incorporates microbial cellulose, grown via custom fermentation vessels, into a bio-manufacturing process enhanced by synthetic biology techniques. This results in cellulose materials with modified properties. The ELF system also includes an automated input system for optogenetic or chemical stimuli and a feedback system for real-time growth monitoring. Simulations, developed in the Processing programming environment, enable the visualization and testing of various fabrication scenarios. Although the system has limitations, such as sterility requirements and robustness of engineered organisms, it exhibits potential for creating a new generation of biologically fabricated materials with unique properties. This innovative fabrication method represents a crucial step towards more sustainable and energy- efficient manufacturing strategies.
series	ACADIA
type	paper
email
last changed	2024/12/20 09:12

_id	caadria2023_442
id	caadria2023_442
authors	Escobar, Daniel, Navarro, Carlos and Papaspyrou, Evangelia
year	2023
title	An Attention Economy Theme Park
doi	https://doi.org/10.52842/conf.caadria.2023.1.209
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 209–218
summary	Planetary scale computation is evolving the way we digitize the physical urban space. The following research aims to provide an architectural response to the accelerating digitization of our physical world and societal life processes of economy and communications. It acknowledges the legitimate bias in the perceptual value of territories favored by the new Attention Economy of the Metaverse and Blockchain-based Virtual Environments. It proposes the analogy of a theme park derived from the distorted collective vision of today’s reality, of a reduced collection of favored attraction locations. The research provides first a review of contemporary studies related to the operation of the Attention Economy in the Metaverse, Web3 platforms, and Gamified Virtual Environments, as well as studies on recent architectural expressions or typologies of these spaces. A series of methodologies are described next to convey the impact of recent advances in Artificial Intelligence (AI) on the creation of digital personas and worldmaking for this type of economy. The methodologies comprise a three-stage workflow based on data mining and curation, processing through AI-aided generative methods, and implementation with game engine environments, ultimately discussed regarding simulation and creative agency.
keywords	attention economy, virtual environments, embodiment, digital twin, multimodal AI
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	ecaade2023_444
id	ecaade2023_444
authors	Gan, Amelia Wen Jiun, Dang, Quoc, Western, Blaine and García del Castillo, Jose Luis
year	2023
title	AI-Mediated Group Ideation
doi	https://doi.org/10.52842/conf.ecaade.2023.2.389
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 389–398
summary	Design charrettes and town hall formats are commonly used in the field of architecture to facilitate group ideation at multiple stages across a variety of stakeholders. Group ideation is critical to generate a wide range of solutions while covering all aspects of a defined problem. However, the format of group ideation often poses a multitude of challenges, including a lack of diverse ideation, difficulties in reaching consensus, imbalanced power dynamics, as well as maintaining focus throughout a group session. This paper explores how recent developments in AI frameworks could be utilized and assembled as a creative mediator in an architectural ideation process. The paper describes a framework and digital interface for AI-mediated group ideation where recent advancements in speech recognition, Natural Language Processing and Text-to-Image generation are leveraged to facilitate brainstorming processes. The paper first delves into the design of the framework and digital interface, taking into account in-person, remote and hybrid contexts, followed by the technical workflow and pilot evaluation methods used in this study. The resulting design is informed by AI-Mediated Communication, group dynamics and behavioral theories, along with core User Experience principles. The result takes the form of a visual ideation and transcription tool that allows users to ideate across conversational and visual methods.
keywords	AI-Mediated Communication, Ideation, Design Thinking, Natural Language Processing, Human-Computer Interaction
series	eCAADe
email
last changed	2023/12/10 10:49

_id	sigradi2023_125
id	sigradi2023_125
authors	García Amen, Fernando
year	2023
title	Manufacturing worlds. Towards a Metaverse of Uruguayan Heritage.
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 729–738
summary	This project seeks to digitally recover, restore and preserve the architectural heritage of Uruguay through 3D scanning, with the aim of creating an interactive Metaverse that represents this heritage. To do this, virtual reality, augmented reality and mixed reality (VR/AR/MR) technologies will be used as key tools. The spectrum of relevant buildings is wide, considering works of architecture with structural, formal and testimonial value. The digitization of these works presents diverse challenges, from urban to rural settings. It seeks to establish a consistent methodology using data capture and processing tools, as well as open standards for the exchange of information. In addition, the importance of involving the community in the study and use of the selected architectural heritage is emphasized.
keywords	Digital heritage, Metaverse, 3D Scanning, Virtual Reality, Interaction
series	SIGraDi
email
last changed	2024/03/08 14:07

_id	caadria2023_446
id	caadria2023_446
authors	Guida, George
year	2023
title	Multimodal Architecture: Applications of Language in a Machine Learning Aided Design Process
doi	https://doi.org/10.52842/conf.caadria.2023.2.561
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 561–570
summary	Recent advances in Natural Language Processing (NLP) and Diffusion Models (DMs) are leading to a significant change in the way architecture is conceived. With capabilities that surpass those of current generative models, it is now possible to produce an unlimited number of high-quality images (Dhariwal and Nichol 2021). This opens up new opportunities for using synthetic images and marks a new phase in the creation of multimodal 3D forms, central to architectural concept design stages. Presented here are three methodologies of generation of meaningful 2D and 3D designs, merging text-to-image diffusion models Stable Diffusion, and DALL-E 2 with computational methods. These allow designers to intuitively navigate through a multimodal feedback loop of information originating from language and aided by artificial intelligence tools. This paper contributes to our understanding of machine-augmented design processes and the importance of intuitive user interfaces (UI) in enabling new dialogues between humans and machines. Through the creation of a prototype of an accessible UI, this exchange of information can empower designers, build trust in these tools, and increase control over the design process.
keywords	Machine Learning, Diffusion Models, Concept Design, Semantics, User Interface, Design Agency
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	acadia23_v2_242
id	acadia23_v2_242
authors	Hoenerloh, Aileen; Arnardottir, Thora; Bridgens, Ben; Dade-Robertson, Martyn
year	2023
title	Living Morphogenesis: Bacteria-Driven Form Exploration through Aeration Scaffolding
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 2: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-0-3]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 242-255.
summary	Increasing interest in living materials has pushed scientists and designers to explore the potential of fungi, algae, yeast, and bacteria as part of the fabrication process. The microbially-produced biopolymer, bacterial cellulose (BC), shows great potential as an alternative building material due to its high durability, tensile strength, moisture resistance, and lightweight nature. Current BC fabrication methods primarily involve post-processing the naturally forming flat material after its growth phase. This research investigates an approach into co-designing with cellulose-producing bacteria to explore its morphogenetic tendencies in order to create intricate 3-dimensional forms. This paper looks at a fabrication approach that diverges from conventional BC material production towards form-finding by creating explorative methods that guide BC formation through the control of airflow. We present an experimental workflow with a bacteria and yeast that employs a strategy to identify parameters for guiding the morphological development of BC. To capture the form of the delicate material samples, a multi-step preservation process was developed, providing data on both the external and internal structure of the material. Photographic documentation of the growth process enabled the categorization of bacterial behavior in response to distinct environmental stimuli. Based on these obser- vations, a set of design principles was established to allow us to predict the morphological development of BC growth within a bioreactor. These experiments address a new type of unconventional computational approach to form-finding by studying the native growth mechanism of living bacteria, and offering a new perspective on our design engagement with these processes.
series	ACADIA
type	paper
email
last changed	2024/12/20 09:12

_id	caadria2023_53
id	caadria2023_53
authors	Ishiwata, Megumu, Sumitomo, Eri and Ikeda, Yasushi
year	2023
title	Structure Made of One Tree -Digital Assistance to Put Natural Shape Wood in Practical Use
doi	https://doi.org/10.52842/conf.caadria.2023.2.593
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 593–602
summary	This research examines a digitalization of workflow to assist design and construction with irregular wood in its natural form at a location close to logging areas with restrictions on processing methods. Currently, wood availability is determined by closed distribution channels with standardized production. Simple and effective use of irregularly shaped branches allows us to escape this limitation. We have attempted to develop a method of building structures with the following three features with only certain branches available, limited to chainsawing and bolted joints that can be used in the mountains. First, modeling systematically irregularly shaped branches by converting photogrammetry scanned standing trees into simplified data while preserving shape features. Second, supporting assembly design of the structure by dynamic segmentation of irregularly shaped branches as parts before cutticenter8639999
keywords	Mixed Reality, Computational model, Wood use, Natural shape, Fabrication, SDG9, SDG12, SDG15
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	ascaad2023_120
id	ascaad2023_120
authors	Körükcü, Berfin
year	2023
title	A Framework Proposal for Natural Stone Processing with Robot Arm
source	C+++: Computation, Culture, and Context – Proceedings of the 11th International Conference of the Arab Society for Computation in Architecture, Art and Design (ASCAAD), University of Petra, Amman, Jordan [Hybrid Conference] 7-9 November 2023, pp. 767-779.
summary	Transforming raw stone materials into building elements and materials using traditional tools and methods has a long cultural history. As a reflection of computational design thinking, current production methods have been transferred to digital environments, making them suitable for processing and interacting with numerical machines. Physical media and production processes, which are difficult and slow to change and regulate, have been transferred to the digital environment and made programmable, changeable and open to algorithmic manipulation. The development of digital design and production methods in architecture has also paved the way for the digitalization of natural stone processing applications. Digital Fabrication methods are effective at all scales and stages of architectural processes. In subtractive methods, which is one of the digital fabrication methods, the material is shaped by subtracting parts from the main whole by cutting or milling. Processing with a robot arm is a subtractive production type, such as traditional stone carving. The process consists of the tool attached to the robot arm moving on the block. Along the path followed by the tool, the material is shaped by subtracting it according to the thickness, shape, step distance, progress speed, adjusted depth, and axis. In general, stone processing consists of two steps: rough processing that roughly removes the material layer by layer and fine processing that processes the remaining part precisely to produce a surface finish. The design of this production process creates a relationship between time and quality. At this point, simulation can be used to design the process based on the production tool before production and to provide feedback on the produced form by measuring it to the digital model after production. This study provides a comparative framework for the different processing steps of natural stone materials for robotic fabrication. The research includes collecting data on natural stone processing and robotic fabrication, drawing a framework for the geometric form to be processed, designing the stone processing process with a robotic arm, conducting simulation experiments, and analyzing simulation data. Since performing the experiments in physical would be restrictive in terms of cost and time, simulation technique was preferred. In this way, it was possible to conduct more experiments, and analyzes were strengthened.
series	ASCAAD
email
last changed	2024/02/13 14:41

_id	caadria2023_347
id	caadria2023_347
authors	Li, Keke, Wu, Hao, Ding, Xiangwen, Li, Haowei and Yuan, Philip F.
year	2023
title	Bespoke 3D Printed Chair: Research on the Digital Design and Fabrication Method of Multi-Body Pose Fusion
doi	https://doi.org/10.52842/conf.caadria.2023.1.169
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 169–178
summary	Customization has become a vital part of the post-industrial production model. Traditional production methods struggle with the challenge of collecting large amounts of data and the high costs of customization. With advancements in big data and deep learning algorithms, it is now possible to reduce the difficulty and cost of data collection, resulting in more accurate individual customization. This paper presents a proposed workflow for customizing multi-position seating for individuals. Using deep learning algorithms such as OpenPose and parametric design platforms such as Grasshopper, the workflow transforms user-generated photos of the body into a seating model that fits corresponding positions. This process combines deep learning algorithms, simplifies the data collection and processing process, and provides an interface for user interaction on the Grasshopper platform. The workflow provides a comprehensive example of data-driven customization in the context of big data. It explores the potential of a new paradigm in digital design where data is the primary driving force.
keywords	Customization, Posture recognition, Multi-platform collaboration, Deep Learning, Workflow
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	ascaad2023_089
id	ascaad2023_089
authors	Machado, Daniel; Mussi, Andrea
year	2023
title	Usability of Parametric Design Plugins as a Support Tool in Urbanism and CIM
source	C+++: Computation, Culture, and Context – Proceedings of the 11th International Conference of the Arab Society for Computation in Architecture, Art and Design (ASCAAD), University of Petra, Amman, Jordan [Hybrid Conference] 7-9 November 2023, pp. 187-207.
summary	The rapid growth of medium and large cities has led to an increasing demand for innovative and intelligent solutions for urban design and infrastructure. The use of City Information Modeling (CIM) and parametric design software has been one of the implemented solutions, allowing for greater agility in the process and integration with databases to recreate a digital urban structure and simulate complex scenarios. However, many of these tools remain relatively unknown among urban designers, with plenty of potential to be explored. This research aimed to identify the recent practices in the use of algorithmic-parametric design at the urban scale and in CIM project management, and explore their applications through a systematic review of the literature based on scientific articles. The review resulted 37 articles that were selected for a detailed search in the abstracts, methodologies, results, and discussions. The most frequently employed tools are related to urban energy efficiency, traffic planning and walkability, urban morphology analysis, and building typologies and density. Algorithmic-parametric design applications and plug-ins were identified to assist mainly in flow analysis, performance, comfort, and city modeling. Additionally, 23 statistical and geographic database formats were identified that generate volumes and land and mass spaces or perform performance analysis data processing.
series	ASCAAD
email
last changed	2024/02/13 14:40

_id	caadria2023_134
id	caadria2023_134
authors	Mann, Eytan, Dortheimer, Jonathan, Nitzan-Shiftan, Alona and Sprecher, Aaron
year	2023
title	Of Stones and Words – Computational Framework for Multifaceted Historical Narration of Wadi Salib
doi	https://doi.org/10.52842/conf.caadria.2023.1.373
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 373–382
summary	In this paper, we outline a computational framework to capture an intricate relationship between tangible and intangible cultural heritage - architecture and the multiple narratives pertaining to it, to unfold multiple histories as a means for a deeper, more comprehensive preservation of contextual heritage. Deploying a set of digital and computational tools, we present a cross-disciplinary method to produce environments infused with history, and at times overlapping narratives. The framework presented here aims to combine text and spatial data, using both Natural Language Processing and Semantic Segmentation, towards integrating seemingly divided epistemologies of heritage. We ask how we can use computation to enrich current cultural practices and what is at stake in deploying such tools. To explore these questions, we discuss a case study of Wadi Salib, an historical and conflicted neighbourhood in Haifa, Israel, and attempt to assess our framework's ability to render a historical tour through this multi-layered site. Finally, the paper identifies several pitfalls and key challenges for future research.
keywords	cultural heritage, archive, architecture, laser-scanning, historical narratives, spatial data
series	CAADRIA
email
last changed	2023/06/15 23:14

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