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	ecaade2020_390
id	ecaade2020_390
authors	Ahmadzadeh Bazzaz, Siamak, Fioravanti, Antonio and Coraglia, Ugo Maria
year	2020
title	Depth and Distance Perceptions within Virtual Reality Environments - A Comparison between HMDs and CAVEs in Architectural Design
doi	https://doi.org/10.52842/conf.ecaade.2020.1.375
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 375-382
summary	The Perceptions of Depth and Distance are considered as two of the most important factors in Virtual Reality Environments, as these environments inevitability impact the perception of the virtual content compared with the one of real world. Many studies on depth and distance perceptions in a virtual environment exist. Most of them were conducted using Head-Mounted Displays (HMDs) and less with large screen displays such as those of Cave Automatic Virtual Environments (CAVEs). In this paper, we make a comparison between the different aspects of perception in the architectural environment between CAVE systems and HMD. This paper clarifies the Virtual Object as an entity in a VE and also the pros and cons of using CAVEs and HMDs are explained. Eventually, just a first survey of the planned case study of the artificial port of the Trajan emperor near Fiumicino has been done as for COVID-19 an on-field experimentation could not have been performed.
keywords	Visual Perception; Depth and Distance Perception; Virtual Reality; HMD; CAVE; Trajan’s port
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2020_193
id	ecaade2020_193
authors	Alymani, Abdulrahman, Jabi, Wassim and Corcoran, Padraig
year	2020
title	Machine Learning Methods for Clustering Architectural Precedents - Classifying the relationship between building and ground
doi	https://doi.org/10.52842/conf.ecaade.2020.1.643
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 643-652
summary	Every time an object is built, it creates a relationship with the ground. Architects have a full responsibility to design the building by taking the ground into consideration. In the field of architecture, using data mining to identify any unusual patterns or emergent architectural trends is a nascent area that has yet to be fully explored. Clustering techniques are an essential tool in this process for organising large datasets. In this paper, we propose a novel proof-of-concept workflow that enables a machine learning computer system to cluster aspects of an architect's building design style with respect to how the buildings in question relate to the ground. The experimental workflow in this paper consists of two stages. In the first stage, we use a database system to collect, organise and store several significant architectural precedents. The second stage examines the most well-known unsupervised learning algorithm clustering techniques which are: K-Means, K-Modes and Gaussian Mixture Models. Our experiments demonstrated that the K-means clustering algorithm method achieves a level of accuracy that is higher than other clustering methods. This research points to the potential of AI in helping designers identify the typological and topological characteristics of architectural solutions and place them within the most relevant architectural canons
keywords	Machine Learning; Building and Ground Relationship; Clustering Algorithms; K-means cluster Algorithms
series	eCAADe
email
last changed	2022/06/07 07:54

_id	sigradi2020_217
id	sigradi2020_217
authors	Arbeláez-Ochoa, Elsie; Torreblanca-Díaz, David A.; Rodríguez-Castrillon, Karen; Munoz-Noriega, Daniela
year	2020
title	Methodology for the abstraction and morphological experimentation of nature’s patterns: an application case of morphology research subject in Industrial Design program
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 217-222
summary	Forms in nature have been emerging in response to different requirements, in a complex and dynamic ecosystem. Architects and designers have usually used references from nature for their projects; in industrial design education, the use of nature’s referents allows to expand the morphological possibilities for product design and systems. In this paper, a methodological proposal for the abstraction and morphological transformation of nature’s patterns is presented, highlighting the advantages of parametric design and additive manufacturing technologies for morphological experimentation, in the context of the first application case of morphology research subject in the Industrial Design program at Universidad Pontificia Bolivariana.
keywords	Bio-inspired design, Morphology, Experimental morphology, Additive manufacturing technologies, Industrial design education
series	SIGraDi
email
last changed	2021/07/16 11:48

_id	ecaade2020_227
id	ecaade2020_227
authors	Bielski, Jessica, Langenhan, Christoph, Weyand, Babara, Neuber, Markus, Eisenstadt, Viktor and Althoff, Klaus-Dieter
year	2020
title	Topological Queries and Analysis of School Buildings Based on Building Information Modeling (BIM) Using Parametric Design Tools and Visual Programming to Develop New Building Typologies
doi	https://doi.org/10.52842/conf.ecaade.2020.2.279
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 279-288
summary	School buildings are currently one of the largest portions of planning and building projects in Germany. In order to reflect the continuous developments in school building construction with constantly changing spatial requirements, an approach to analyse, derive and combine patterns of schools is proposed to adapt school typologies accordingly. Therefore, the topology is analysed, concerning interconnection methods, such as adjacency, accessibility, depth, and flow. The geometric analysis of e.g. room sizes or spatial proportions is enhanced by including grouping of rooms, estimated room clusters, or room shapes. Furthermore, text-matching is used to determine e.g. room program fulfilment, or assigning functional room descriptions to predefined room types, revealing huge differences of terms throughout time and architects. First results of the analyses show a relevant correlation between spatial proportion and room types.
keywords	school building typologies; building information modeling (BIM); artificial intelligence (AI); topology; spatial analysis; digital semantic model
series	eCAADe
email
last changed	2022/06/07 07:52

_id	acadia20_84
id	acadia20_84
authors	Kirova, Nikol; Markopoulou, Areti
year	2020
title	Pedestrian Flow: Monitoring and Prediction
doi	https://doi.org/10.52842/conf.acadia.2020.1.084
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 84-93.
summary	The worldwide lockdowns during the first wave of the COVID-19 pandemic had an immense effect on the public space. The events brought up an opportunity to redesign mobility plans, streets, and sidewalks, making cities more resilient and adaptable. This paper builds on previous research of the authors that focused on the development of a graphene-based sensing material system applied to a smart pavement and utilized to obtain pedestrian spatiotemporal data. The necessary steps for gradual integration of the material system within the urban fabric are introduced as milestones toward predictive modeling and dynamic mobility reconfiguration. Based on the capacity of the smart pavement, the current research presents how data acquired through an agent-based pedestrian simulation is used to gain insight into mobility patterns. A range of maps representing pedestrian density, flow, and distancing are generated to visualize the simulated behavioral patterns. The methodology is used to identify areas with high density and, thus, high risk of transmitting airborne diseases. The insights gained are used to identify streets where additional space for pedestrians is needed to allow safe use of the public space. It is proposed that this is done by creating a dynamic mobility plan where temporal pedestrianization takes place at certain times of the day with minimal disruption of road traffic. Although this paper focuses mainly on the agent-based pedestrian simulation, the method can be used with real-time data acquired by the sensing material system for informed decision-making following otherwise-unpredictable pedestrian behavior. Finally, the simulated data is used within a predictive modeling framework to identify further steps for each agent; this is used as a proof-of-concept through which more insights can be gained with additional exploration.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia20_188
id	acadia20_188
authors	Tian, Runjia; Wang, Yujie; Yüce Gün, Onur
year	2020
title	Data-Driven Midsole
doi	https://doi.org/10.52842/conf.acadia.2020.2.188
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 188-197.
summary	With the advancement of additive manufacturing, computational approaches are gaining popularity in midsole design. We develop an experimental understanding of the midsole as a field and develop designs that are informed by running data. We streamline two data types, namely underfoot pressure and surface deformation, to generate designs. Unlike typical approaches in which certain types of lattices get distributed across the midsole according to average pressure data, we use ARAMIS data, reflecting the distinct surface deformation characteristics, as our primary design driver. We analyze both pressure and deformation data temporally, and temporal data patterns help us generate and explore a design space to search for optimal designs. First, we define multiple zones across the midsole space using ARAMIS data clustering. Then we develop ways to blend and distribute auxetic and isosurface lattices across the midsole. We hybridize these two structures and blend data-determined zones to enhance visual continuity while applying FEA simulations to ensure structural integrity. This multi-objective optimization approach helps enhance the midsole’s structural performance and visual coherence while introducing a novel approach to 3D-printed footwear design.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia20_192p
id	acadia20_192p
authors	Doyle, Shelby; Hunt, Erin
year	2020
title	Melting 2.0
source	ACADIA 2020: Distributed Proximities / Volume II: Projects [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95253-6]. Online and Global. 24-30 October 2020. edited by M. Yablonina, A. Marcus, S. Doyle, M. del Campo, V. Ago, B. Slocum. 192-197
summary	This project presents computational design and fabrication methods for locating standard steel reinforcement within 3D printed water-soluble PVA (polyvinyl alcohol) molds to create non-standard concrete columns. Previous methods from “Melting: Augmenting Concrete Columns with Water Soluble 3D Printed Formwork” and “Dissolvable 3D Printed Formwork: Exploring Additive Manufacturing for Reinforced Concrete” (Doyle & Hunt 2019) were adapted for larger-scale construction, including the introduction of new hardware, development of custom programming strategies, and updated digital fabrication techniques. Initial research plans included 3D printing continuous PVA formwork with a KUKA Agilus Kr10 R1100 industrial robotic arm. However, COVID-19 university campus closures led to fabrication shifting to the author’s home, and this phase instead relied upon a LulzBot TAZ 6 (build volume of 280 mm x 280 mm x 250 mm) with an HS+ (Hardened Steel) tool head (1.2 mm nozzle diameter). Two methods were developed for this project phase: new 3D printing hardware and custom GCode production. The methods were then evaluated in the fabrication of three non-standard columns designed around five standard reinforcement bars (3/8-inch diameter): Woven, Twisted, Aperture. Each test column was eight inches in diameter (the same size as a standard Sonotube concrete form) and 4 feet tall, approximately half the height of an architecturally scaled 8-foot-tall column. Each column’s form was generated from combining these diameter and height restrictions with the constraints of standard reinforcement placement and minimum concrete coverage. The formwork was then printed, assembled, cast, and then submerged in water to dissolve the molds to reveal the cast concrete. This mold dissolving process limits the applicable scale for the work as it transitions from the research lab to the construction site. Therefore, the final column was placed outside with its mold intact to explore if humidity and water alone can dissolve the PVA formwork in lieu of submersion.
series	ACADIA
type	project
email
last changed	2021/10/26 08:08

_id	ecaade2020_120
id	ecaade2020_120
authors	Ishikawa, Daichi, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2020
title	A Mixed Reality Coordinate System for Multiple HMD Users Manipulating Real-time Point Cloud Objects - Towards virtual and interactive 3D synchronous sharing of physical objects in teleconference during design study
doi	https://doi.org/10.52842/conf.ecaade.2020.1.197
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 197-206
summary	Teleconferences without travel costs are useful for building a consensus in design. However, conventional teleconferencing using computer displays and web cameras is well known to have performance problems due to the lack of co-presence feeling with remote participants and the difficulty in sharing three dimensional (3D) information intuitively. This research proposes a method to share the mixed reality (MR) coordinate system for multiple head-mounted display (HMD) users manipulating real-time point cloud objects for the virtual and interactive 3D synchronous sharing in teleconferences. In our proposed method, the reference point of the virtual world coordinate system called world anchor and local coordinates of segmented point cloud objects in real-time are shared among HMDs via a server PC to share the same MR coordinate system. Using this method, the result of moving and rotating manipulation using hand gestures for segmented point cloud objects by an HMD user are reflected in the other HMD users. We developed a prototype system and evaluated the performance of the system when multiple users used this system. Future works include adapting this system to multiple RGB-D cameras and the internet environment.
keywords	Mixed reality coordinate system; Real-time point clouds; Multiple User Interaction; Teleconference; 3D Synchronous Physical Object Sharing
series	eCAADe
email
last changed	2022/06/07 07:50

_id	caadria2020_031
id	caadria2020_031
authors	Kim, Nayeon and Lee, Hyunsoo
year	2020
title	Visual Attention in Retail Environments - Design Analysis using HMD based VR System Integrated Eye-Tracking
doi	https://doi.org/10.52842/conf.caadria.2020.1.631
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 631-640
summary	The goal of this study is to understand the spatial experience of users in retail environments in an immersive virtual reality setting. This study measures the visual attention and visual merchandising cognition of users via a quantitative method. The study was conducted to assess users' visual perception arising from the visual merchandising in-store environment during virtual reality experiences. The experiment was conducted using eye-tracking methodology in a virtual reality environment. After the experiment, participants responded to questionnaire surveys to assess visual merchandising cognition in retail environments. The experiment stimuli were provided in the virtual simulation of a retail store. During the experiment, each participant wearing a head-mounted display device was asked to experience the virtual retail space. The result shows the quantitative analysis of user behavior in the retail space and which design elements attract their attention. Unlike the precedent eye-tracking studies, this research analyzes visual attention during the spatial experience of retailing in its use of virtual reality technology. The approach and findings of this research provide useful information and practical guidelines to retailers and designers who are interested in improving the retail environment in consideration of customer visual attention and spatial elements.
keywords	Visual Attention; Retail Environment; Eye-tracking ; Virtual Reality; HMD (Head-Mounted Display)
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	caadria2020_062
id	caadria2020_062
authors	Lu, Ming and Yuan, Philip F.
year	2020
title	A New Algorithm to Get Optimized Target Plane on 6-Axis Robot For Fabrication
doi	https://doi.org/10.52842/conf.caadria.2020.2.393
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 393-402
summary	In usual robotic fabrication by 6 axis industrial robot such as KUKA ,ABB and other brands ,the usual robot's 4th ,5th and 6th axis is exactly converge in one point .When this type robot (pieper) is doing movement commands ,setting the degree of 4th axis close to zero is an ideal condition for motion stability ,especially for putting device which connect to tool head on 4th axis arm part.In plastic melting or others print which not cares the rotation angle about the printing direction(the printing direction means the effector's output normal direction vector, KUKA is X axis,ABB is Z axis) ,the optimization of 4th axis technology not only makes printing stable but also makes better quality for printing.The paper introduces a new algorithm to get the analytics solution.The algorithm is clear explained by mathematics and geometry ways. At the end of paper, a grasshopper custom plugin is provided ,which contains this new algorithm ,with this plugin, people can get the optimized target path plane more easily.
keywords	3D printing; brick fabrication; robotic; optimization algorithm; grasshopper plugin
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	artificial_intellicence2019_87
id	artificial_intellicence2019_87
authors	Ming Lu, Wei Ran Zhu, and Philip F. Yuan
year	2020
title	Toward a Collaborative Robotic Platform: FUROBOT
doi	https://doi.org/https://doi.org/10.1007/978-981-15-6568-7_6
source	Architectural Intelligence Selected Papers from the 1st International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
summary	In usual robotic fabrication by 6-axis industrial robots such as KUKA, ABB, and other brands, the usual robot’s 4th, 5th, and 6th axis is exactly converged in one point. When this type robot (pieper) is doing movement commands, setting the degree of 4th axis close to zero is an ideal condition for motion stability, especially for putting device which connects to tool head on 4th axis arm part. In plastic melting or others print which not cares the rotation angle about the printing direction (the printing direction means the effector’s output normal direction vector, KUKA is X axis, ABB is Z axis), the optimization of 4th axis technology not only makes printing stable but also makes better quality for printing. The paper introduces a new algorithm to get the analytics solution. The algorithm is clearly explained by mathematics and geometry ways. At the end of the paper, a grasshopper custom plugin is provided, which contains this new algorithm, with this plugin, people can get the optimized target path plane more easily.
series	Architectural Intelligence
email
last changed	2022/09/29 07:28

_id	ecaade2020_215
id	ecaade2020_215
authors	Zhu, Yuehan, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2020
title	Integrated Co-designing Using Building Information Modeling and Mixed Reality with Erased Backgrounds for Stock Renovation
doi	https://doi.org/10.52842/conf.ecaade.2020.1.153
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 153-160
summary	The stock renovation has become an important area of study. As customized design becomes increasingly popular, the design methods with occupants' participation are increasingly valued. The designers need an intuitive, understandable design method that allows non-professional occupants can also participate in the design process. Therefore, the proposed system explores the applicability of integrating the Building Information Modeling (BIM) model into the Mixed Reality (MR) environment to display realistic and interactive design plans. Occupants who involved in the renovation design wearing head mounted display (HMD) would experience the same MR environment. All of them can use gestures to interact with each other and control all the virtual structures and objects. This MR experience can help users to better understand other's intentions, and they can evaluate the design plans more easily. This paper will introduce a prototype of the integrated co-designing system using multiple HMDs connected in a local area network (LAN).
keywords	Mixed Reality; Diminished Reality; Building Information Modeling; Co-Designing; Stock Renovation
series	eCAADe
email
last changed	2022/06/07 07:57

_id	caadria2020_443
id	caadria2020_443
authors	Abuzuraiq, Ahmed M. and Erhan, Halil
year	2020
title	The Many Faces of Similarity - A Visual Analytics Approach for Design Space Simplification
doi	https://doi.org/10.52842/conf.caadria.2020.1.485
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 485-494
summary	Generative design methods may involve a complex design space with an overwhelming number of alternatives with their form and design performance data. Existing research addresses this complexity by introducing various techniques for simplification through clustering and dimensionality reduction. In this study, we further analyze the relevant literature on design space simplification and exploration to identify their potentials and gaps. We find that the potentials include: alleviating the choice overload problem, opening up new venues for interrelating design forms and data, creating visual overviews of the design space and introducing ways of creating form-driven queries. Building on that, we present the first prototype of a design analytics dashboard that combines coordinated and interactive visualizations of design forms and performance data along with the result of simplifying the design space through hierarchical clustering.
keywords	Visual Analytics; Design Exploration; Dimensionality Reduction; Clustering; Similarity-based Exploration
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	sigradi2020_577
id	sigradi2020_577
authors	Appendino, María José; Carboni, Lucía; Tosello, María Elena
year	2020
title	Design of a Virtual Reality device to motivate experiences of meaningful learning
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 577-585
summary	With the increasing popularization of technologies such as Augmented Reality -AR- and Virtual Reality -VR-, interest aroused in studying the incorporation of these media into design disciplines higher education. The main objective of this investigation was to integrate VR and AR into the lessons, in order to motivate a meaningful learning process for students. The project was developed for a subject corresponding to the first year of the university careers of Architecture, Visual Design, and Industrial Design. This device was effectively implemented for the dictation of virtual classes, in the context of the COVID-19 pandemic.
keywords	Virtual Tour, Design Education, Emerging Technologies
series	SIGraDi
email
last changed	2021/07/16 11:52

_id	ecaade2020_499
id	ecaade2020_499
authors	Ashour, Ziad and Yan, Wei
year	2020
title	BIM-Powered Augmented Reality for Advancing Human-Building Interaction
doi	https://doi.org/10.52842/conf.ecaade.2020.1.169
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 169-178
summary	The shift from computer-aided design (CAD) to building information modeling (BIM) has made the adoption of augmented reality (AR) promising in the field of architecture, engineering and construction. Despite the potential of AR in this field, the industry and professionals have still not fully adopted it due to registration and tracking limitations and visual occlusions in dynamic environments. We propose our first prototype (BIMxAR), which utilizes existing buildings' semantically rich BIM models and contextually aligns geometrical and non-geometrical information with the physical buildings. The proposed prototype aims to solve registration and tracking issues in dynamic environments by utilizing tracking and motion sensors already available in many mobile phones and tablets. The experiment results indicate that the system can support BIM and physical building registration in outdoor and part of indoor environments, but cannot maintain accurate alignment indoor when relying only on a device's motion sensors. Therefore, additional computer vision and AI (deep learning) functions need to be integrated into the system to enhance AR model registration in the future.
keywords	Augmented Reality; BIM; BIM-enabled AR; GPS; Human-Building Interactions; Education
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2022_16
id	ecaade2022_16
authors	Bailey, Grayson, Kammler, Olaf, Weiser, Rene, Fuchkina, Ekaterina and Schneider, Sven
year	2022
title	Performing Immersive Virtual Environment User Studies with VREVAL
doi	https://doi.org/10.52842/conf.ecaade.2022.2.437
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 437–446
summary	The new construction that is projected to take place between 2020 and 2040 plays a critical role in embodied carbon emissions. The change in material selection is inversely proportional to the budget as the project progresses. Given the fact that early-stage design processes often do not include environmental performance metrics, there is an opportunity to investigate a toolset that enables early-stage design processes to integrate this type of analysis into the preferred workflow of concept designers. The value here is that early-stage environmental feedback can inform the crucial decisions that are made in the beginning, giving a greater chance for a building with better environmental performance in terms of its life cycle. This paper presents the development of a tool called LearnCarbon, as a plugin of Rhino3d, used to educate architects and engineers in the early stages about the environmental impact of their design. It facilitates two neural networks trained with the Embodied Carbon Benchmark Study by Carbon Leadership Forum, which learns the relationship between building geometry, typology, and construction type with the Global Warming potential (GWP) in tons of C02 equivalent (tCO2e). The first one, a regression model, can predict the GWP based on the massing model of a building, along with information about typology and location. The second one, a classification model, predicts the construction type given a massing model and target GWP. LearnCarbon can help improve the building life cycle impact significantly through early predictions of the structure’s material and can be used as a tool for facilitating sustainable discussions between the architect and the client.
keywords	Pre-Occupancy Evaluation, Immersive Virtual Environment, Wayfinding, User Centered Design, Architectural Study Design
series	eCAADe
email
last changed	2024/04/22 07:10

_id	sigradi2020_449
id	sigradi2020_449
authors	Becerra-Santacruz, Habid; Becerra-Santacruz, Axel
year	2020
title	Mapping of emerging territorial phenomena at Micro Scale: Development of collaborative database as a base for Evidence-Based Design Strategies
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 449-454
summary	This paper presents an active analysis and research approach for design workshops at the Faculty of Architecture at UMNSH. The proposed scheme for final year design studio demands students to participate in the confrontation of reality to understand first-hand through databases; the complex problems of contemporary society and its relationship with the habitat. In order to understand the diverse emergent phenomena of the city, a collaborative work is implemented for the development of a database, occupation maps and territorial dynamics on a micro scale. From the evidence supported by data, students articulate design strategies and specific territorial actions.
keywords	Collaborative database, Evidence-based design strategies, Emergent phenomena mapping, Design pedagogy
series	SIGraDi
email
last changed	2021/07/16 11:49

_id	caadria2020_071
id	caadria2020_071
authors	Carroll, Stan
year	2020
title	Managing Risk in a Research-Based Practice as Projects Scale To Construction:A Case Study
doi	https://doi.org/10.52842/conf.caadria.2020.1.065
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 65-74
summary	Research-based architectural practices often experiment along the bleeding edge of the new frontier of design and include developing methodologies unfamiliar to the construction industry. Successfully implementing the resulting research methodologies to an architectural scale requires careful consideration of risk management within a Design-Bid-Build construction project. How a firm manages the risk when scaling a research conclusion to an architectural scale is an essential aspect of assuring the success of the project. These considerations are particularly acute within firms whose research involves convoluted geometry. In the field of doubly-curved geometric material systems, the level of precision required to manage professional risk is commensurate with the level of geometric complexity. Adopting the mindset of a Medieval master mason's process within the context of twenty-first-century materials and processes can be a method toward a successful project. By performing well thought-out transfer procedures of digital data, resolving the fundamental challenges of fabrication, and including structural analysis as a part of the early design phases, experimental architectural expressions can be realized without extra financial risk to the designer.
keywords	Risk Management; Research-Based Practice; Complex Geometry; Digital Fabrication; Computational Design
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	sigradi2020_870
id	sigradi2020_870
authors	Castro-Arenas, Cristhian; Miralles, Monica
year	2020
title	Bioinformed Design of Dynamic Tensegrity Units
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 870-877
summary	This paper presents the bioinformed design of tensegrities based in the application of configurative logics of biotensegrities. Its purpose is to accomplish dynamic tensegrities, potentially applicable in the design of innovative technological devices. This article presents the analysis and design of three types of models: a) the Universal Tensegrity Joints introduced by Fuller, b) the Abstract Dynamic Units, and c) Bioinformed Dynamic Units. The methodology is based on simulating movements with parametric modeling in Rhinoceros software, with the usage of Grasshopper and Kangaroo plugins. Thus, a first classification of UDAs and the first phase of UDB models for leg and shoulder were obtained.
keywords	Tensegrity, Biotensegrity, Bioinformed, Parametric, Design
series	SIGraDi
email
last changed	2021/07/16 11:53

_id	ecaade2020_017
id	ecaade2020_017
authors	Chan, Yick Hin Edwin and Spaeth, A. Benjamin
year	2020
title	Architectural Visualisation with Conditional Generative Adversarial Networks (cGAN). - What machines read in architectural sketches.
doi	https://doi.org/10.52842/conf.ecaade.2020.2.299
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 299-308
summary	As a form of visual reasoning, sketching is a human cognitive activity instrumental to architectural design. In the process of sketching, abstract sketches invoke new mental imageries and subsequently lead to new sketches. This iterative transformation is repeated until the final design emerges. Artificial Intelligence and Deep Neural Networks have been developed to imitate human cognitive processes. Amongst these networks, the Conditional Generative Adversarial Network (cGAN) has been developed for image-to-image translation and is able to generate realistic images from abstract sketches. To mimic the cyclic process of abstracting and imaging in architectural concept design, a Cyclic-cGAN that consists of two cGANs is proposed in this paper. The first cGAN transforms sketches to images, while the second from images to sketches. The training of the Cyclic-cGAN is presented and its performance illustrated by using two sketches from well-known architects, and two from architecture students. The results show that the proposed Cyclic-cGAN can emulate architects' mode of visual reasoning through sketching. This novel approach of utilising deep neural networks may open the door for further development of Artificial Intelligence in assisting architects in conceptual design.
keywords	visual cognition; design computation; machine learning; artificial intelligence
series	eCAADe
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last changed	2022/06/07 07:55

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