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	ecaade2024_160
id	ecaade2024_160
authors	Dar, Ofri; Cohen, Omri Y.; Sharon, Eran; Blonder, Arielle
year	2024
title	Visualizing Frustration: Computational simulation tool for ‘Frustrated Ceramics’
doi	https://doi.org/10.52842/conf.ecaade.2024.1.313
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 313–322
summary	This paper introduces a novel approach to sustainable construction through ‘Frustrated Ceramics’, a self-morphing clay material system, offering an on-site mould-less shaping method. The system consists of two clay bodies with different shrinkage rates, layered to form a flat sheet. The shrinkage difference drives a geometrical incompatibility during firing process that results in the emergence of a complex 3D shape. Through the analysis of physical experiments, based on the theory of incompatible shells, an understanding of key material properties of the system is established. Specifically, the determination of Young’s moduli ratio of the different clay bodies during critical morphing moments at the kiln is defined. This material property proves essential for the adjustment of an initial simulation tool to the case of morphing clay, enhancing our ability to predict Frustrated Ceramics’ morphing results. Further improvements of the simulation also include meshing and gravity considerations . Both material calibration and the simulation code support the newly developed design feature of variable thickness ratio, expanding control and morphological freedom. Combining physical experiments, digital simulation and physics theory, this study aims at providing architects with a predictive understanding of this energy-efficient ‘Frustrated Ceramic’ system, promoting its accessibility and future adoption in the architectural field.
keywords	parametric-simulation, material-system, material programming, self-morphing, frustrated material, morphing clay
series	eCAADe
email
last changed	2024/11/17 22:05

_id	caadria2024_31
id	caadria2024_31
authors	Wong, Nichol Long Hin, Crolla, Kristof, Hou, June-Hao, Hsu, Pei-Hsien and Cheng, Yu-Tung
year	2024
title	Curved Glulam Architecture Design Optimisation For Low-Tech Construction: The Fabrication and Construction of KATENARA
doi	https://doi.org/10.52842/conf.caadria.2024.3.181
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 3, pp. 181–190
summary	This paper reports on the research findings from the fabrication and construction of "KATENARA", a prototypical, hyper-lightweight, wooden pavilion built in the Dongshi Forestry Cultural Park, Dongshi, Taiwan in November 2023. KATENARA uses a suspended roof structure system optimised for low-tech production from glue-laminated (glulam) timber. The pavilion’s geometry is based on near-catenary-shaped glulam beams that are evolutionary algorithmically optimised for manufacture from a single mould. Structures based on suspended beam geometries substantially reduce material needs when compared with those relying on straight beams, as catenary beams operate in pure tension throughout, avoiding inefficient neutral fibres along the centreline and removing risk of buckling. Yet, their manufacture from glulam typically requires costly bespoke individual hardware setups. Shape optimisation for fabrication efficiencies substantially increases the tectonic system's applicability, as it facilitates more affordable implementation in low-tec fabrication environment.
keywords	Catenary, Timber Shell, Evolutionary Algorithm, Glue-laminated Timber, Low-tech, Affordable Construction.
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	ijac202322108
id	ijac202322108
authors	Abu-Aridah, Dima and Heather Ligler
year	2024
title	Shape grammars and self-built refugee communities: The transformation from tent shelter to customized structure in Irbid Camp
source	International Journal of Architectural Computing 2024, Vol. 22 - no. 1, 1-24
summary	This paper presents research on design challenges in protracted refugee camps, where “temporary” shelters undergo informal transformations, becoming long-term homes and establishing communities. We develop a shape grammar to investigate this phenomenon, focusing on the evolution of refugee housing units in the Irbid Camp in Jordan from the emergency to the transitional and permanent phases. Our parametric shape grammar analyzes and describes the physical characteristics of these units, revealing their dynamic nature. The corpus of the grammar includes 10 diverse housing units that provide a range of insights and opportunities for refugee housing design and planning. The grammar builds a foundation for developing design solutions that mediate transformations and address long-term implications for sustainable and adaptive environments to anticipate self-build processes and better support evolving resident needs in housing layouts.
keywords	Shape grammar, informal design process, growth dynamics, refugee camps, Palestinian refugees, modular design, refugee housing
series	journal
last changed	2024/07/18 13:03

_id	caadria2024_360
id	caadria2024_360
authors	Adelzadeh, Amin, Karimian-Aliabadi, Hamed and Robeller, Christopher
year	2024
title	ReciproFrame Timber Gridshell: From CAM Data Interface Modeling to Operating Industrial Joinery Machine for Scaling up Reusable Timber Structures
doi	https://doi.org/10.52842/conf.caadria.2024.3.339
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 3, pp. 339–348
summary	This research extends the work from our previous study on utilizing digital technologies to turn short solid timber elements into framed timber systems designed for the rapid assembly and disassembly of cost-effective, material-efficient, reusable gridshells. In a former paper, we developed an innovative reciprocally-reinforced topology of trivalent polyhedral frames, termed "ReciproFrame", enabled by the development of a CSV file to leverage the precision and speed of multi-axis robotic arms, which was then utilized in the construction of a small-scale, 7.5-meter research demonstrator. Although the multi-objective analysis confirmed the efficiency of the production method in constructing structurally-efficient catenary cross-sections without the need for any steel nodes—a feat not achievable with previous geodesic domes—we realized that the automated construction of larger structures in future timber industry would require an industrial-class production workflow featuring high-performance units equipped with powerful and efficient machining capacities for varied timber processing. As a solution, this paper presents a 24-hour industrial fabrication workflow, enabled by a self-developed data interface plugin that generates XML-based, industry-standard CAM data for the direct instruction of Hundegger K2 machines. It addresses the operational problems and technical challenges related to interoperability between the data interface programming and the operation of industrial joinery machines. Finally, the paper discusses the possible applications and limitations of the production workflow, while presenting the design-to-assembly process of a medium-scale research demonstrator with a maximum span of 15 meters, made of 768 industrially-fabricated Laminated Veneer Lumber (LVL) beams.
keywords	automated joinery, XML-based CAM data, CAMBIUM, Hundegger K2 joinery machines, P-Hex, ReciproFrame, Laminated Veneer Lumber LVL, reusable timber gridshells
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	ecaade2024_35
id	ecaade2024_35
authors	Agkathidis, Asterios; Song, Yang; Symeonidou, Ioanna
year	2024
title	AI-Assisted Design: Utilising artificial intelligence as a generative form-finding tool in architectural design studio teaching
doi	https://doi.org/10.52842/conf.ecaade.2024.2.619
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 619–628
summary	Artificial Intelligence (AI) tools are currently making a dynamic appearance in the architectural realm. Social media are being bombarded by word-to-image/image-to-image generated illustrations of fictive buildings generated by tools such as ‘Midjourney’, ‘DALL-E’, ‘Stable Diffusion’ and others. Architects appear to be fascinated by the rapidly generated and inspiring ‘designs’ while others criticise them as superficial and formalistic. In continuation to previous research on Generative Design, (Agkathidis, 2015), this paper aims to investigate whether there is an appropriate way to integrate these new technologies as a generative tool in the educational architectural design process. To answer this question, we developed a design workflow consisting of four phases and tested it for two semesters in an architectural design studio in parallel to other studio units using conventional design methods but working on the same site. The studio outputs were evaluated by guest critics, moderators and external examiners. Furthermore, the design framework was evaluated by the students through an anonymous survey. Our findings highlight the advantages and challenges of the utilisation of AI image synthesis tools in the educational design process of an architectural design approach.
keywords	AI, GAI, Generative Design, Design Education
series	eCAADe
email
last changed	2024/11/17 22:05

_id	caadria2024_477
id	caadria2024_477
authors	Akbaylar Hayreter, Ipek, Gulec Ozer, Derya and As Cemrek, Handan
year	2024
title	Enhancing Cultural Heritage Digitalization and Visitor Engagement Through LiDAR Scanning and Gamification
doi	https://doi.org/10.52842/conf.caadria.2024.2.283
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 2, pp. 283–292
summary	Cultural heritage assets are valuable, providing important information about humanity's past and conveying it to the future. Unfortunately, conventional documentation is insufficient to preserve them for the next generations. Furthermore, increasing visitor interaction with these assets and raising awareness has been one of the challenges in this field. In this paper, we will examine how mobile LiDAR (Laser Detection and Ranging) technology can be used to precisely scan and document historical sites and how it can be combined with gamification elements to provide visitors with better experiences. It is also important that the texture taken in mobile laser scanning can be used to better visualize 3D mesh models of the scanned objects, so the fastest application that produces 3D models is selected. The study area is Syedra Ancient City in Alanya / Turkey, where the research and excavation process has continued since 2015 and the restoration projects started in 2023. Future work includes the creation of experiences to provide a basis for gamification and revitalizing the story of the heritage for the visitors through digital storytelling and AR (Augmented Reality). Preserving historical sites while providing visitors with a more in-depth, vivid and enjoyable experience are important facts for enhancing cultural heritage and passing it on to future generations.
keywords	Cultural Heritage, Digitalization, LiDAR, Mobile Laser Scanning, Digital Storytelling, Augmented Reality, Gamification
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	ecaade2024_167
id	ecaade2024_167
authors	Alammar, Ammar; Alymani, Abdulrahman; Jabi, Wassim
year	2024
title	Building Energy Efficiency Estimations with Random Forest for Single and Multi-Zones
doi	https://doi.org/10.52842/conf.ecaade.2024.2.365
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 365–374
summary	Surrogate models (SM) present an opportunity for rapid assessment of a building's performance, surpassing the pace of simulation-based methods. Setting up a simulation for a single concept involves defining numerous parameters, disrupting the architect's creative flow due to extended simulation run times. Therefore, this research explores integrating building energy analysis with advanced machine learning techniques to predict heating and cooling loads (KWh/m2) for single and multi-zones in buildings. To generate the dataset, the study adopts a parametric generative workflow, building upon Chou and Bui's (2014) methodology. This dataset encompasses multiple building forms, each with unique topological connections and attributes, ensuring a thorough analysis across varied building scenarios. These scenarios undergo thermal simulation to generate data for machine learning analysis. The study primarily utilizes Random Forest (RF) as a new technique to estimate the heating and cooling loads in buildings, a critical factor in building energy efficiency. Following that, A random search approach is utilized to optimize the hyperparameters, enhancing the robustness and accuracy of the machine learning models employed later in the research. The RF algorithms demonstrate high performance in predicting heating and cooling loads (KWh/m2), contributing to enhanced building energy efficiency. The study underscores the potential of machine learning in optimizing building designs for energy efficiency.
keywords	Heating and Cooling loads, Topology, Machine learning, Random Forest
series	eCAADe
email
last changed	2024/11/17 22:05

_id	architectural_intelligence2024_11
id	architectural_intelligence2024_11
authors	Alexander Htet Kyaw, Lawson Spencer & Leslie Lok
year	2024
title	Human–machine collaboration using gesture recognition in mixed reality and robotic fabrication
doi	https://doi.org/https://doi.org/10.1007/s44223-024-00053-4
source	Architectural Intelligence Journal
summary	This research presents an innovative approach that integrated gesture recognition into a Mixed Reality (MR) interface for human–machine collaboration in the quality control, fabrication, and assembly of the Unlog Tower. MR platforms enable users to interact with three-dimensional holographic instructions during the assembly and fabrication of highly custom and parametric architectural constructions without the necessity of two-dimensional drawings. Previous MR fabrication projects have primarily relied on digital menus and custom buttons within the interface for user interaction between virtual and physical environments. Despite this approach being widely adopted, it is limited in its ability to allow for direct human interaction with physical objects to modify fabrication instructions within the virtual environment. The research integrates user interactions with physical objects through real-time gesture recognition as input to modify, update, or generate new digital information. This integration facilitates reciprocal stimuli between the physical and virtual environments, wherein the digital environment is generative of the user’s tactile interaction with physical objects. Thereby providing user with direct, seamless feedback during the fabrication process. Through this method, the research has developed and presents three distinct Gesture-Based Mixed Reality (GBMR) workflows: object localization, object identification, and object calibration. These workflows utilize gesture recognition to enhance the interaction between virtual and physical environments, allowing for precise localization of objects, intuitive identification processes, and accurate calibrations. The results of these methods are demonstrated through a comprehensive case study: the construction of the Unlog Tower, a 36’ tall robotically fabricated timber structure.
series	Architectural Intelligence
email
last changed	2025/01/09 15:03

_id	caadria2024_30
id	caadria2024_30
authors	Alva, Pradeep, Mosteiro-Romero, Martín and Stouffs, Rudi
year	2024
title	Estimating Operational Greenhouse Gas Emissions in the Built Environment Using an Urban Digital Twin: Sustainable City Management Tool for Decarbonisation of Cities
doi	https://doi.org/10.52842/conf.caadria.2024.2.365
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 2, pp. 365–374
summary	With climate change strategies and action plan policies, many countries pledge to reduce greenhouse gas (GHG) emissions in their long-term vision for efficient urban processes and operations. An Urban Digital Twin (UDT) integrates multiple disciplines on a digital platform and assists with city management. However, UDTs that explore GHG emissions-related policy development or decarbonisation initiatives for cities are limited. To support decarbonisation policies, smart cities require UDTs with state-of-the-art control and management systems that demonstrate emissions accounting and administration. In response to these concerns, our paper introduces a web-based UDT application dedicated to estimating and managing GHG emissions in the built environment using a 3D city dataset created from open data sources. The 3D city dataset is combined with energy modelling results to calculate buildings’ operational GHG emissions. Forecasting is proposed to estimate energy use and GHG emissions along with alternative scenarios for the future. Additionally, we describe how we calculate energy demand and GHG emissions. We introduce user input parameters in the interactive dashboard to generate alternative scenario outputs different from the business-as-usual state. As a result, the UDT dashboard can assist decision-makers and stakeholders involved in carbon-neutral strategies, GHG emission reduction, and policy development.
keywords	Decarbonisation of cities, Energy demand forecasting, City dataset, Urban analytics
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	ecaade2024_47
id	ecaade2024_47
authors	Alymani, Abdulrahman Ahmed A
year	2024
title	Integrating Artificial Intelligence Rendering Tools in Design: Integrating AI as teaching methods in architectural education
doi	https://doi.org/10.52842/conf.ecaade.2024.2.629
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 629–638
summary	This paper introduces an innovative teaching approach for architectural design studios, emphasizing the integration of AI-rendering tools to enhance student learning and creativity. The method begins with conventional site analysis, followed by an in-depth study of a micro-home case study to deepen understanding. Students’ progress from traditional 2D plans to conceptual 3D massing, facing challenges in integrating case studies into their designs. To address this, an AI-rendering engine is incorporated, allowing students to add intricate details and apply various case studies directly onto their 3D models. This visual approach aids understanding and application of architectural concepts. The paper discusses how this approach helps students overcome integration challenges and fosters creative exploration. Findings suggest that this method enriches architectural education, offering a new dimension to design studio learning.
keywords	Architectural Pedagogy, AI-Rendering Tools, Architecture Precedents, Architecture Case Study, Design Studios
series	eCAADe
email
last changed	2024/11/17 22:05

_id	architectural_intelligence2024_25
id	architectural_intelligence2024_25
authors	Ana Goidea, Mariana Popescu, Anton Tetov Johansson & David Andréen
year	2024
title	Algorithmic modeling of functionally graded metamaterials in 3D printed building envelopes
doi	https://doi.org/https://doi.org/10.1007/s44223-024-00068-x
source	Architectural Intelligence Journal
summary	Recent development of powder-bed additive manufacturing promises to enable the production of architectural structures that combine high resolution and articulation with economies of scale. These capabilities can potentially be used for functionally graded metamaterials as part of the building envelope and structure, paving the way for new functionalities and performances. However, designing such multifunctional structures requires new design and modelling strategies to control, understand, and generate complex geometries and their transcalar interdependencies. The work presented here demonstrates a modeling framework that can unite multiple generative and organizational algorithms to create a unified, 3D printable building element that integrates a range of functional requirements. Our methods are based on an understanding of stigmergic principles for self-organization and developed to allow for a wide range of application scenarios and design intents. The framework is structured around a composite modeling environment based on a combination of volumetric modeling and particle-spring systems, and is developed to negotiate the large scalar range necessary for such applications. We present here a prototype demonstrator designed using this framework: Meristem Wall, a functionally integrated building envelope fabricated through a combination of powder bed 3D printing and CNC knitting.
series	Architectural Intelligence
email
last changed	2025/01/09 15:05

_id	ecaade2024_95
id	ecaade2024_95
authors	Andreou, Vasilis; Kontovourkis, Odysseas
year	2024
title	Formwork optimization for complex 3D Concrete Printing: A unified theoretical, digital, and experimental framework
doi	https://doi.org/10.52842/conf.ecaade.2024.1.223
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 223–232
summary	3D Concrete Printing (3DCP) revolutionizes architecture with speed and sustainability. Yet, current methods mainly use extrusion in 2.5 dimensions, limiting complex shapes. Challenges remain in achieving intricate morphologies, such as non-conventional cavity walls, as well as overcoming limitations posed by overhanging structures, and inclined surfaces with protrusions, leading to exploration of additives like chemical accelerators. However, uncertainties in effectiveness persist, posing challenges in strength and handling. Overcoming these limitations is vital for unlocking 3DCP's full potential in construction. This study delves into the underdeveloped digital formalization and prevention of failure modes in 3DCP for intricate 3D morphologies, particularly focusing on the challenges encountered in the construction of overhangs and subsequently cavity wall construction, using aggregate support materials as formwork. It introduces a structured selection process, leveraging Finite Element Analysis (FEA), to understand the crucial role of lateral pressure in supporting these complex structures. Theoretical analysis, rooted in earth pressure analysis theory, informs the selection of appropriate aggregate materials, which are then validated through experimental testing. This comprehensive approach uncovers essential attributes for support materials, enabling alignment with various formwork families based on specific requirements like insulation or reusability. Through a series of physical prototyping, including cylinder samples produced via robotic 3DCP, the practical applicability of these findings is solidified. Ultimately, this study contributes significant insights into optimizing 3DCP methodologies for complex geometries, bridging a critical gap in formalization and advancing the field of 3DCP.
keywords	Support Materials, Finite Element Analysis, Lateral Pressure, Physical Prototyping, Insulation
series	eCAADe
email
last changed	2024/11/17 22:05

_id	caadria2024_21
id	caadria2024_21
authors	Arisman, Arman, Widiastuti, Indah, Indraprastha, Aswin and Sudradjat, Iwan
year	2024
title	Architects' Responses to Practicing Generative Design for Form Finding in the Schematic Design Stage
doi	https://doi.org/10.52842/conf.caadria.2024.3.029
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 3, pp. 29–38
summary	Generative design's future impact on architectural processes relies on its successful integration into the established workflow of architects, as prior experiences indicate that technological innovations struggle when not aligned with existing work cultures. This study examines how architects respond to the challenge of practicing generative design, using the genetic algorithm technique, and focusing on the form-finding process, to achieve optimal design outcomes. The researcher set up an experimental research design involving eight professional architects, whose task is to develop an architectural schematic design based on a given set of algorithms. The interaction between architects and computers as supporting tools during the design process is documented to measure the priority level of given algorithms and time budgeting for every design step. Cognitive reflections of architects are recorded during the experiment, followed by interviews to gather additional insights into their experiences in generative design processes. The findings of this research will provide some insights into the advantages and disadvantages of generative design as an alternative approach to architectural design and the best way to integrate generative design seamlessly into prevailing architects' work culture.
keywords	Architectural Design, Conceptual Design, Form Finding, Generative Design, Genetic Algorithm, Protocol Analysis
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	caadria2024_7
id	caadria2024_7
authors	Arlene, Vania, Gegana A, Gregorius A and Thiodore, Jacky
year	2024
title	S(X)oundscape Design based on Virtual Affordances
doi	https://doi.org/10.52842/conf.caadria.2024.3.499
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 3, pp. 499–508
summary	Our spatial experience is bound to static spatiotemporal patterns, independent of user's changing but specific needs. Senior users, particularly, are at a disadvantage keeping pace with the fast-emerging interfaces due to physical and cognitive limitations. The intervention of VR opens a digital domain that disrupts the conception of space-time linearity as an embodiment of artificial environment, providing a range of spatial possibilities inclusive to users. Currently, acoustic ecology in architecture has the potential to reciprocate well-being in virtual reality. S(X) is an architectural VR project that incorporates Affordance Structure Matrix (ASM) as a user-centric design framework, integrating artefact-user affordances between VR attributes, spatial composition, and user flow. Consequently, the visual and auditory stimulated environments promote sensory and motoric coordination, while considering exposure challenges in VR for seniors. A series of research techniques are performed to collect data samples; literature review on design parameters, respondent survey (n=23) aged 60-90, and design exploration to configure program functions based on acoustic mapping. This includes streaming-masking and lateralization-localization as part of the acoustic exercises. S(X) manifests as a therapeutic mediation of sound that renders immersive and interactive experiences through calculated affordances in a digital frontier.
keywords	Spatial Experience, Affordances, Meta-architecture, Virtual Reality, Cognitive
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	ecaade2024_137
id	ecaade2024_137
authors	Asaf, Ofer; Bentur, Arnon; Sprecher, Aaron
year	2024
title	Transforming Earths: Designing 3D printable materials for robotic earth architecture
doi	https://doi.org/10.52842/conf.ecaade.2024.1.035
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 35–44
summary	This paper explores the potential of using different local earthen materials in robotic additive manufacturing workflow despite challenges arising from soil variability. We propose a method to design materials based on locally sourced soils for 3D printing, focusing on the physical and mineralogical characteristics of the soil and the rheological properties of the mixture. By tailoring mixtures for both extrusion and stability and correlating straightforward tests with laboratory data, we advance the adaptability of earth-based materials for 3D printing. Experiments with robotic 3D printing across five soils validate our approach, suggesting pathways for furthering earthen material use in digital fabrication and underscoring the importance of material design.
keywords	Earth Construction, 3D Printing, Soil, Recycled Aggregates, Robotic Fabrication
series	eCAADe
email
last changed	2024/11/17 22:05

_id	architectural_intelligence2024_29
id	architectural_intelligence2024_29
authors	Asma Mehan & Sina Mostafavi
year	2024
title	Emerging technologies in urban design pedagogy: augmented reality applications
doi	https://doi.org/https://doi.org/10.1007/s44223-024-00067-y
source	Architectural Intelligence Journal
summary	In the contemporary era of urban design, the advent of big data and digital technologies has ushered in innovative approaches to exploring urban spaces. This study focuses on the application of Augmented Reality (AR) and Extended Reality (XR) technologies in the metropolitan areas of Houston and Amsterdam. These technologies create immersive 'Phygital Installations' that blend physical and digital elements, effectively capturing people's perceptions and enhancing urban design proposals. By fostering human-centered planning, AR and XR technologies make urban design more interactive and accessible to the public. Houston, with its rapid industrial growth and diverse socio-economic landscape, provides a unique setting to examine the impacts of these technologies on urban form and socio-environmental dynamics. In contrast, Amsterdam, with its rich historical layers and socio-cultural diversity, offers insights into the integration of AR/XR technologies in urban planning, particularly in the realm of historical preservation and contemporary urban development. This research contributes to the emerging field of AR/XR in urban design by highlighting the transformative potential of these technologies in enhancing the understanding and engagement in urban design and spatial planning.
series	Architectural Intelligence
email
last changed	2025/01/09 15:05

_id	caadria2024_351
id	caadria2024_351
authors	Aung, Ye Yint, Shih, Shen-Guan, Harsono, Kevin and Cheng, Tsung-Wei
year	2024
title	On the Information Scape of Spaces
doi	https://doi.org/10.52842/conf.caadria.2024.3.109
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 3, pp. 109–118
summary	This research introduces a new paradigm of “information scape” reshaping our understanding of how people interact within spaces. As individuals navigate through spaces, they consistently encounter making decisions regarding their potential positioning and the direction of their attention. These decisions are influenced by the limited availability of information, prompting individuals to gather surrounding information, make decisions for further interactions, and enhance their prospects for survival. A crucial aspect of spatial decision-making process involves the trade-off between acquiring valuable information from a chosen perspective and potentially sacrificing information from other directions. This trade-off emerges as one of the key determinants of user experiences within a given space. To address this issue, measurables for information trade-off are conceptualized with the assistance of isovist tool. The identification of each individual's specific direction is achieved through the adoption and extension of directed partial isovists, incorporating a set of isovist metrics such as the proportion of partial isovist areas and radial lengths. An observation is conducted to reveal the correlation between individual spatial preference and information scape measurables. The research endeavours to conceptualize a novel perspective of information scape in the context of human spatial behavior, elucidate methods for quantifying its measurables, and discuss scenarios involving information trade-offs between individual directional choices and spatial configurations. 08641080
keywords	Information Scape, Information Trade-off, Isovist, Environmental Preferences, Spatial Preference, Spatial Behaviour
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	ecaade2024_298
id	ecaade2024_298
authors	Avellaneda Lopez, Omar Fabrisio; Christodoulou, Marilena; Mendoza, Marisela
year	2024
title	Parametric Design and Geometric Optimization for Deployable Domes Based on the icosahedron frequency with hexagonal modules
doi	https://doi.org/10.52842/conf.ecaade.2024.1.411
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 411–420
summary	The systems of deployable structures domes with straight bars are directly related to the geometry of solids. They are lightweight, modular, and transformable systems. This research relates to the design of deployable structures with articulated straight bars, with the purpose of being habitable and offering a solution to the light and traditional architecture. In particular, it refers to the design of deployable domes with articulated straight bars, starting from the transformation of the icosahedron using deployable hexagonal modules. With the possibility of changing its scale when increasing its frequency. In addition, has aims at a parametric design method for deployable domes or shells with straight bars of equal articulated dimension, stabilized with a flexible or rigid architectural covering. The process is defined as quick assembly. The optimization method employed is based on transforming the icosahedron and varying its frequencies. The process consists of optimizing deployable hexagonal modules with bars of equal length following geodesic patterns. Using visual programming algorithms using Rhinoceros + Grasshopper, geometric optimization results are achieved with deployable hexagonal modules applied to different dome frequencies. The system offers efficient solutions to temporary shelters, portable greenhouses, scenarios for medium and large-scale events, and everything related to light and transformable architecture.
keywords	Deployable Structures, Geometric Optimization, Parametric Design, Lightweight Structures
series	eCAADe
email
last changed	2024/11/17 22:05

_id	ecaade2024_286
id	ecaade2024_286
authors	Aylien, Stefanie; Alkadri, Miktha Farid
year	2024
title	Preliminary Energy Simulations of Smart Materials on Building Facade
doi	https://doi.org/10.52842/conf.ecaade.2024.1.273
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 273–282
summary	As the earth's surface temperature rises, maintaining comfortable indoor temperatures without increasing the energy consumption of cooling systems is necessary. One climate change mitigation that may provide great relevance to this issue is to use adaptive facades as they can provide flexible energy flows in response to dynamic external conditions. Among adaptive facades strategies, smart materials show great potential to respond intelligently to the surrounding environment through changes in material properties. In this regard, smart materials require little to no additional active system because of changes made internally by the material. This paper aims to investigate potential applications of smart materials in building facades by first analyzing the energy performance of 9 smart materials (i.e., low-e glass, nePCM, PCM filled, paraffin MG29, PV Vacuum glazing, semitransparent PV A, semitransparent PV B, insulated DSSC-R, DSSC-G) found in adaptive facades. This study then specifically calculates EUI (energy use intensity), cooling load, and average solar heat gain for existing buildings located in Jakarta. Lastly, two smart materials (i.e., PV and PCM) are selected to compare building façade construction proposals based on their transmissivity, maximum solar heat gain, and conductivity. Despite the potential application of smart materials, this study found that PV and PCM provide lower performance values due to energy demand functions that predominantly focus on generation rather than contributing to heating and cooling aspects. This study can further benefit architects when dealing with façade construction materials, especially in tropical countries. It needs to be aligned with the energy performance produced by the façade, the surrounding environment, and the local context.
keywords	Smart Materials, Adaptive Facade, Energy Performance
series	eCAADe
email
last changed	2024/11/17 22:05

_id	ecaade2024_106
id	ecaade2024_106
authors	Aºut, Serdar
year	2024
title	Developing a Hybrid Learning Environment for Architectural Robotics
doi	https://doi.org/10.52842/conf.ecaade.2024.2.695
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 695–704
summary	The physical infrastructures needed for hands-on learning can be enhanced for efficiency and flexibility, meeting the rising student interest and adapting to the evolving educational landscapes. This article presents the ongoing development of a Hybrid Learning Environment (HLE) that adopts a blended approach to teaching robotics in design disciplines like architecture, building technology, and industrial design. Common platforms cannot replicate the experience of a physical learning space with tangible tools and materials, which are essential for hands-on learning in design education. This project tackles these concerns through an HLE that integrates VR and Robotics. The HLE includes a digital twin of the physical workspace created using a game engine. Different methods were explored to establish communication between physical and virtual environments. The empirical analysis of a preliminary version of the HLE demonstrates that it can enhance learning by making it more intuitive and engaging, making it easier to understand the complex operations of the robotic arm. The study also highlights further research directions, including addressing network security and latency issues, integrating multisensory approaches, and tackling the challenges in collaborative learning activities.
keywords	Architectural Robotics, Human-Robot Interaction, Virtual Reality, Hybrid Learning Environments, Architecture Education
series	eCAADe
email
last changed	2024/11/17 22:05

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