Cumincad : CUMINCAD Papers : Search Results

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

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_id	acadia20_84
id	acadia20_84
authors	Kirova, Nikol; Markopoulou, Areti
year	2020
title	Pedestrian Flow: Monitoring and Prediction
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.
doi	https://doi.org/10.52842/conf.acadia.2020.1.084
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	sigradi2020_991
id	sigradi2020_991
authors	Gomez, Paula; Hadi, Khatereh; Kemenova, Olga; Swarts, Matthew
year	2020
title	Spatiotemporal Modeling of COVID-19 Spread in Built Environments
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. 991-996
summary	This research proposes a Spatiotemporal Modeling approach to understand the role of architecture, specifically the built environment, in the COVID-19 pandemic. The model integrates spatial and temporal parameters to calculate the probability of spread of and exposure to SARS-CoV-2 virus (responsible of COVID-19 disease) due to the combination of four aspects: Spatial configuration, organizational schedules, people’s behavior, and virus characteristics. Spatiotemporal Modeling builds upon the current models of building analytics for architecture combined with predictive models of COVID-19 spread. While most of the current research on COVID-19 spread focuses on mathematical models at regional scales and the CDC guidelines emphasizing on human behavior, our research focuses on the role of buildings in this pandemic, as the intermediate mechanism where human and social activities occur. The goal is to understand the most significant parameters that influence the virus spread within built environments, including human-to-human, fomite (surface-to-human), and airborne ways of transmission, with the purpose of providing a comprehensive parametric model that may help identify the most influential design and organizational decisions for controlling the pandemic. The proof-of-concept study is a healthcare facility.
keywords	Spatiotemporal modeling, Agent-based simulation, COVID-19, Virus spread, Built environments, Human behavior, Social distancing
series	SIGraDi
email
last changed	2021/07/16 11:53

_id	acadia20_120
id	acadia20_120
authors	Barsan-Pipu, Claudiu; Sleiman, Nathalie; Moldovan, Theodor
year	2020
title	Affective Computing for Generating Virtual Procedural Environments Using Game Technologies
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. 120-129.
doi	https://doi.org/10.52842/conf.acadia.2020.2.120
summary	Architects have long sought to create spaces that can relate to or even induce specific emotional conditions in their users, such as states of relaxation or engagement. Dynamic or calming qualities were given to these spaces by controlling form, perspective, lighting, color, and materiality. The actual impact of these complex design decisions has been challenging to assess, from both quantitative and qualitative standpoints, because neural empathic responses, defined in this paper by feature indexes (FIs) and mind indexes (MIs), are highly subjective experiences. Recent advances in the fields of virtual procedural environments (VPEs) and virtual reality (VR), supported by powerful game engine (GE) technologies, provide computational designers with a new set of design instruments that, when combined with brain-computing interfacing (BCI) and eye-tracking (E-T) hardware, can be used to assess complex empathic reactions. As the COVID-19 health crisis showed, virtual social interaction becomes increasingly relevant, and the social catalytic potential of VPEs can open new design possibilities. The research presented in this paper introduces the cyber-physical design of such an affective computing system. It focuses on how relevant empathic data can be acquired in real time by exposing subjects within a dynamic VR-based VPE and assessing their emotional responses while controlling the actual generative parameters via a live feedback loop. A combination of VR, BCI, and E-T solutions integrated within a GE is proposed and discussed. By using a VPE inside a BCI system that can be accurately correlated with E-T, this paper proposes to identify potential morphological and lighting factors that either alone or combined can have an empathic effect expressed by the relevant responses of the MIs.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia20_178
id	acadia20_178
authors	Meeran, Ahmed; Conrad Joyce, Sam
year	2020
title	Machine Learning for Comparative Urban Planning at Scale: An Aviation Case Study
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. 178-187.
doi	https://doi.org/10.52842/conf.acadia.2020.1.178
summary	Aviation is in flux, experiencing 5.4% yearly growth over the last two decades. However, with COVID-19 aviation was hard hit. This, along with its contribution to global warming, has led to louder calls to limit its use. This situation emphasizes how urban planners and technologists could contribute to understanding and responding to this change. This paper explores a novel workflow of performing image-based machine learning (ML) on satellite images of over 1,000 world airports that were algorithmically collated using European Space Agency Sentinel2 API. From these, the top 350 United States airports were analyzed with land use parameters extracted around the airport using computer vision, which were mapped against their passenger footfall numbers. The results demonstrate a scalable approach to identify how easy and beneficial it would be for certain airports to expand or contract and how this would impact the surrounding urban environment in terms of pollution and congestion. The generic nature of this workflow makes it possible to potentially extend this method to any large infrastructure and compare and analyze specific features across a large number of images while being able to understand the same feature through time. This is critical in answering key typology-based urban design challenges at a higher level and without needing to perform on-ground studies, which could be expensive and time-consuming.
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	acadia20_720
id	acadia20_720
authors	Farahi, Behnaz
year	2020
title	Can the subaltern speak?
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. 720-729.
doi	https://doi.org/10.52842/conf.acadia.2020.1.720
summary	How could design be used as a method of interrogation for addressing larger cultural, social, or political issues? How could we explore the possibility of using emerging technologies such as robotics and artificial intelligence in order to subvert the status quo? The project presented in this paper is inspired by the historical masks, known as Niqab, worn by the Bandari women from southern Iran. It has been said that these masks were developed during Portuguese colonial rule as a way to protect the wearer from the gaze of slave masters looking for pretty women. In this project two robotic masks seemingly begin to develop their own language to communicate with each other, blinking their eyelashes in rapid succession, using Morse code generated by artificial intelligence (AI). The project draws on a Facebook experiment where two AI bots began to develop their own language. It also draws on an incident when an American soldier used his eyes to blink the word “TORTURE” using Morse code during his captivity in Vietnam, and stories of women using code to report domestic abuse during the COVID-19 lockdown. Here the “wink” of the sexual predator is subverted into a language to protect women from the advances of a predator. Through the lens of the design methodology that is referred to as “critical making,” this project bridges AI, interactive design, and critical thinking. Moreover, while most feminist discourse takes a Eurocentric view, this project addresses feminism from a non-Western perspective.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ijac202018101
id	ijac202018101
authors	Karakiewicz, Justyna
year	2020
title	Design is real, complex, inclusive, emergent and evil
source	International Journal of Architectural Computing vol. 18 - no. 1, 5-19
summary	Can computers make our designs more intelligent and better informed? This is the implication of the theme of the special issue. Architectural design is often thought of as the design of the object, and design models of architecture seek to explicate this process. As an architect, however, I cannot subscribe to that view. In this particular article, I will explore how computational approaches have illuminated and expanded my work to enable the interaction of these themes across scores of projects. Underpinning the projects are foundational concepts: design is real, complex, inclusive, emergent and evil. Design is grounded in reality and facts, that we can derive design outcomes from a deep and unblemished understanding of the world around us. It is not a stylistic escape. Reality is complex. Architectural design has sought to simplify. This was inescapable when projects are so large yet need to be communicated succinctly. ‘Less is more’ justified this approach. In town planning, this is evident in the tool of zoning. Parse the problem and then address each piece. What we do is part of a larger effort. The field of architecture seeks distinction. Design theories want to distinguish and elevate architecture. But if design is complex and it is real, then it is tied to messy realism. Designing has to become accessible to other realms of knowledge. Designing is the seeking of opportunity. For many, design is simply finding the answer – think of Herbert Simon’s statement that design is problem solving. Design reveals opportunities, and these emergent conditions are to be grasped. As designers, our decisions have implications. We know now that what we build has future implications in ways that are profound. When we define design as problem solving, we ignore the truth that design is problem making.
keywords	Design, panarchy, CAS, complexity, Digital Project, Galapagos
series	journal
email
last changed	2020/11/02 13:34

_id	acadia20_136p
id	acadia20_136p
authors	López Lobato, Déborah; Charbel, Hadin
year	2020
title	Foll(i)cle
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. 136-141
summary	In the early months of 2019, air pollution in Bangkok reached a record high, bringing national and international attention to the air quality in the South East Asian cosmopolitan. Although applications such as real-time pollution maps provide an environmental reading from the exterior, such information reveals the ‘here and now,’ where its record is inevitably lost through the ‘refreshing’ process of the live update and does not take increment and accumulation as factors to consider. The project was conceived around understanding the human body as precisely that medium that resists classification as either an interior or exterior environment that inherently performs as an impressionable record of its surroundings. Can a city’s toxicity be read through its living constituents? Can the living bodies that dwell, navigate, breathe, and process habitable environments be accessed? Can architecture retain a degree of independence while also performing as a beacon for the collective? Along this line of questioning, it was found that human hair can be transformed from a material that is effortlessly and continuously grown, cut, stylized, and discarded, and instead be intercepted and used in the production of public information gathering. Foll(i)cle is a collective being made of discarded human hair. Performing as a parliament for collectivity embedded with a protocol; the hairy pavilion invites the public in and presents them with a device at the center that hosts all the necessary equipment and information for anonymously and voluntarily providing hair samples for heavy metal analysis, the data of which is used in making a publically accessible toxi-cartography. Although humans are the primary subject for this study, the results suggest that extending the methodology to non-humans could prove useful in reading urban toxicity through various life forms.
series	ACADIA
type	project
email
last changed	2021/10/26 08:03

_id	acadia20_574
id	acadia20_574
authors	Nguyen, John; Peters, Brady
year	2020
title	Computational Fluid Dynamics in Building Design Practice
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. 574-583.
doi	https://doi.org/10.52842/conf.acadia.2020.1.574
summary	This paper provides a state-of-the-art of computational fluid dynamics (CFD) in the building industry. Two methods were used to find this new knowledge: a series of interviews with leading architecture, engineering, and software professionals; and a series of tests in which CFD software was evaluated using comparable criteria. The paper reports findings in technology, workflows, projects, current unmet needs, and future directions. In buildings, airflow is fundamental for heating and cooling, as well as occupant comfort and productivity. Despite its importance, the design of airflow systems is outside the realm of much of architectural design practice; but with advances in digital tools, it is now possible for architects to integrate air flow into their building design workflows (Peters and Peters 2018). As Chen (2009) states, “In order to regulate the indoor air parameters, it is essential to have suitable tools to predict ventilation performance in buildings.” By enabling scientific data to be conveyed in a visual process that provides useful analytical information to designers (Hartog and Koutamanis 2000), computer performance simulations have opened up new territories for design “by introducing environments in which we can manipulate and observe” (Kaijima et al. 2013). Beyond comfort and productivity, in recent months it has emerged that air flow may also be a matter of life and death. With the current global pandemic of SARS-CoV-2, it is indoor environments where infections most often happen (Qian et al. 2020). To design architecture in a post-COVID-19 environment will require an in-depth understanding of how air flows through space.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	sigradi2020_412
id	sigradi2020_412
authors	Simeone, Davide; Fioravanti, Antonio; Coraglia, Ugo Maria; Cursi, Stefano
year	2020
title	A simulation model for building use re-thinking after the COVID-19 emergency
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. 412-417
summary	COVID-19 infection is forcing designers and building managers in re-thinking the use and experience of architectural spaces, as well as the interactions within the people in it. To support this difficult task, this research is working on a simulation model, based on agent-based modeling, able to predict the use phenomena of buildings and provided quantitative and qualitative feedback regarding the impact of re-defined use processes to COVID-19 infection risk. The derived platform is particularly designed to support the testing of visiting scenarios in museums and galleries, potentially helping them in their re-opening phases.
keywords	Agent-based modeling and simulation (ABMS), COVID-19, Building use, Behavioral simulation, Unity 3D
series	SIGraDi
email
last changed	2021/07/16 11:49

_id	acadia20_94
id	acadia20_94
authors	Yoo, Wonjae; Kim, Hyoungsub; Shin, Minjae; J.Clayton, Mark
year	2020
title	BIM-Based Automatic Contact Tracing System Using Wi-Fi
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. 94-101.
doi	https://doi.org/10.52842/conf.acadia.2020.1.094
summary	This study presents a BIM-based automatic contact tracing method using a stations-oriented indoor localization (SOIL) system. The SOIL system integrates BIM models and existing network infrastructure (i.e., Wi-Fi), using a clustering method to generate roomlevel occupancy schedules. In this study, we improve the accuracy of the SOIL system by including more detailed Wi-Fi signal travel sources, such as reflection, refraction, and diffraction. The results of field measurements in an educational building show that the SOIL system was able to produce room-level occupant location information with a 95.6% level of accuracy. This outcome is 2.6% more accurate than what was found in a previous study. We also describe an implementation of the SOIL system for conducting contact tracing in large buildings. When an individual is confirmed to have COVID-19, public health professionals can use this system to quickly generate information regarding possible contacts. The greatest strength of this SOIL implementation is that it has wide applicability in largescale buildings, without the need for additional sensing devices. Additional tests using buildings with multiple floors are required to further explore the robustness of the system.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia20_124p
id	acadia20_124p
authors	Zhang, Catty Dan
year	2020
title	Vents 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. 124-129
summary	VENTS 2.0 is a responsive environment that relates the moving air at separate locations using real-time data transmission. Functioning as an exhibition installation, a kinetic canopy produces a “rain” of air puffs subtly felt on the skin with a visual pattern of color LED, translating environmental conditions elsewhere into visual, audial, and tactile experiences within the Wurster Gallery at the University of California at Berkeley. The project articulates forms of airflow as part of a dynamic spatial device that stimulates senses beyond sight in a contemporary exhibition setting. It establishes an active system that triggers the emergence of initial states of air and modulates its evolvement. The installation collects real-time and recorded wind velocities via weather API (Application Programmer Interface). The computed data input controls multisensorial effects output by an array of air chambers using a customized script running on a Raspberry Pi. Each chamber generates air vortex rings one can feel when collapsing onto the skin, a typological form of airflow widely used in both art installations and the gaming industry due to its visual and tactile properties. These puffs of air, produced asynchronously, are distributed across the space by a total of twenty-four pairs of chambers assembled onto modified umbrellas on a lightweight aluminum frame. Undulating along the central axis of the 2,200 square feet gallery, the canopy locates right above average human height, illuminating softly a series of projects on display underneath, while at the same time providing visitors unexpected encounters with the constructed “breezes,” the echoing sound, and the fluctuating light.
series	ACADIA
type	project
email
last changed	2021/10/26 08:03

_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
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
doi	https://doi.org/10.52842/conf.ecaade.2020.1.643
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	artificial_intellicence2019_15
id	artificial_intellicence2019_15
authors	Antoine Picon
year	2020
title	What About Humans? Artificial Intelligence in Architecture
source	Architectural Intelligence Selected Papers from the 1st International Conference on Computational Design and Robotic Fabrication (CDRF 2019)
doi	https://doi.org/https://doi.org/10.1007/978-981-15-6568-7_2
summary	Artificial intelligence is about to reshape the architectural discipline. After discussing the relations between artificial intelligence and the broader question of automation in architecture, this article focuses on the future of the interaction between humans and intelligent machines. The way machines will understand architecture may be very different from the reading of humans. Since the Renaissance, the architectural discipline has defined itself as a conversation between different stakeholders, the designer, but also the clients and the artisans in charge of the realization of projects. How can this conversation be adapted to the rise of intelligent machines? Such a question is not only a matter of design effectiveness. It is inseparable from expressive and artistic issues. Just like the fascination of modernist architecture for industrialization was intimately linked to the quest for a new poetics of the discipline, our contemporary interest for artificial intelligence has to do with questions regarding the creative core of the architectural discipline.
series	Architectural Intelligence
email
last changed	2022/09/29 07:28

_id	acadia20_350
id	acadia20_350
authors	Atanasova, Lidia; Mitterberger, Daniela; Sandy, Timothy; Gramazio, Fabio; Kohler, Matthias; Dörfler, Kathrin
year	2020
title	Prototype As Artefact
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. 350-359.
doi	https://doi.org/10.52842/conf.acadia.2020.1.350
summary	In digital design-to-fabrication workflows in architecture, in which digitally controlled machines perform complex fabrication tasks, all design decisions are typically made before production. In such processes, the formal definition of the final shape is explicitly inscribed into the design model by means of corresponding step-by-step machine instructions. The increasing use of augmented reality (AR) technologies for digital fabrication workflows, in which people are instructed to carry out complex fabrication tasks via AR interfaces, creates an opportunity to question and adjust the level of detail and the nature of such explicit formal definitions. People’s cognitive abilities could be leveraged to integrate explicit machine intelligence with implicit human knowledge and creativity, and thus to open up digital fabrication to intuitive and spontaneous design decisions during the building process. To address this question, this paper introduces open-ended Prototype-as-Artefact fabrication workflows that examine the possibilities of designing and creative choices while building in a human-robot collaborative setting. It describes the collaborative assembly of a complex timber structure with alternating building actions by two people and a collaborative robot, interfacing via a mobile device with object tracking and AR visualization functions. The spatial timber assembly being constructed follows a predefined grammar but is not planned at the beginning of the process; it is instead designed during fabrication. Prototype-as-Artefact thus serves as a case study to probe the potential of both intuitive and rational aspects of building and to create new collaborative work processes between humans and machines.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2024_222
id	ecaade2024_222
authors	Bindreiter, Stefan; Sisman, Yosun; Forster, Julia
year	2024
title	Visualise Energy Saving Potentials in Settlement Development: By linking transport and energy simulation models for municipal planning
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. 79–88
doi	https://doi.org/10.52842/conf.ecaade.2024.2.079
summary	To achieve Sustainable Development Goals, in addition to the switch to sustainable energy sources and energy-efficient buildings, transport offers a major lever for reducing energy consumption and greenhouse gases. The increasing demand for emission-free mobility (e.g. through electromobility) but also heat pumps has a direct impact on the electricity consumption of buildings and settlements. It is still difficult to simulate the effects and interactions of different measures as sector coupling concepts require comprehensible tools for ex ante evaluation of planning measures at the community level and the linking of domain-specific models (energy, transport). Using the municipality of Bruck an der Leitha (Austria) as an example, a digital twin based on an open data model (Bednar et al., 2020) is created for the development of methods, which can be used to simulate measures to improve the settlement structure within the municipality. Forecast models for mobility (Schmaus, 2019; Ritz, 2019) and the building stock are developed or applied and linked via the open data model to be able to run through development scenarios and variants. The forecasting and visualisation options created in the project form the basis for the ex-ante evaluation of measures and policies on the way to a Positive-Energy-District. By identifying and collecting missing data, data gaps are filled for the simulation of precise models in the specific study area. A digital, interactive 3D model is created to examine the forecast results and the different scenarios.
keywords	visualisation, decision support, sector coupling, holistic spatial energy models for municipal planning, (energy) saving potentials in settlement development
series	eCAADe
email
last changed	2024/11/17 22:05

_id	caadria2020_160
id	caadria2020_160
authors	Bruce, Caitlin, Sweet, Kevin and Ok, Jeongbin
year	2020
title	Closing the Loop - Recycling Waste Plastic
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. 135-144
doi	https://doi.org/10.52842/conf.caadria.2020.1.135
summary	Worldwide we produce billions of tonnes of waste per year, including a million tonnes of plastic waste. Currently, there are methods for recycling plastic, but these methods can be expensive and time-consuming, resulting in most of the plastic being thrown into the landfill. Because plastic does not fully degrade, it ends up in the ocean and other waterways, poisoning the water with toxins. The purpose of this research is to provide a solution to reducing plastic waste by creating an alternative method of recycling that utilises new technologies such as additive manufacturing, to create a building material that fits into the concept of the circular economy. The findings of this research explored the recycling of plastic by collecting plastic waste such as PLA (Polylactic Acid) from old 3D printed models and other sources. The plastic was recycled into filament for additive manufacturing (AM) and used to print a building component, establishing a foundational proof of concept for the use of recycled plastic as a potential building material.
keywords	Additive Manufacturing; 3D Printing; Recycling Plastic ; Recycled Filament ; Waste Plastic
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	sigradi2022_246
id	sigradi2022_246
authors	Bustos Lopez, Gabriela; Aguirre, Erwin
year	2022
title	Walking the Line: UX-XR Design Experiment for Ephemeral Installations in Pandemic Times
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 699–710
summary	Throughout COVID 19 Pandemic since 2020, it was necessary to generate instructional strategies including digital platforms for creative processes in architecture. This article exposes an experience that integrates pedagogical, operational, and technical dimensions in architecture virtual teaching. A pedagogical methodology was designed and implemented, fusing User Experience (UX) and Extended Reality (XR) during the architectural design process in a virtual experimental studio. The use of UX-XR as a designing-reviewing strategy in architecture, positively impacted the creative experience of both students and reviewers by enriching the perception of the space and interactively simulating the user experience. A friendly, fun, and socially inclusive environment was generated for learning architecture using synthetic media and Multiuser Virtual Environments (MUVEs). The successful results of the students’ projects by phase are shown, revealing the significance of combining UX and XR, incorporating the metaverse as a canvas to review, recreate, interact, and assess architectural designs.
keywords	User Experience (UX), Extended Reality (XR), Multiuser Virtual Environments (MUVE), Virtual Campus, Usability
series	SIGraDi
email
last changed	2023/05/16 16:56

_id	caadria2020_391
id	caadria2020_391
authors	Caetano, InÃªs, Garcia, Sara, Pereira, InÃªs and LeitÃ£o, AntÃ³nio
year	2020
title	Creativity Inspired by Analysis - an algorithmic design system for designing structurally feasible faÃ§ades
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. 599-608
doi	https://doi.org/10.52842/conf.caadria.2020.1.599
summary	Although structural performance has a crucial role in the overall design, its analysis is often postponed to later design stages. This largely occurs because analysis processes are time consuming and require the use of specific models and tools. This problem is then aggravated by the number of design variations that have to be analysed until an acceptable solution is found. However, the implementation of design changes at later stages is limited, as also is their impact on the solution's final performance. Fortunately, with algorithmic design, we can overcome these limitations, as it not only supports complex designs and facilitates design changes, but also automates the production of the specific models and their subsequent analysis and optimization. In this research we focus on buildings faÃ§ades, proposing an algorithmic design system to support their design, structural analysis, and optimization.
keywords	Performance-based Design; Algorithmic Design; Algorithmic Structural Analysis; Algorithmic Optimization; FaÃ§ade Design
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	sigradi2020_830
id	sigradi2020_830
authors	Calvachi Arciniegas, Sandra; Bravo Montero, Juliana; Rosero Jurado, Juliana
year	2020
title	Poetic of Pasaje Corazon de Jesús building´s memory, in the times of the telegraph: Prototype of Video Mapping
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. 830-838
summary	The project is about the elaboration of a Video Mapping projection over a facade´s model of the emblematic Pasaje Corazon de Jesús building, located in the city of Pasto, scale 1:15; since a conceptual point of view, through the narrative exploration created from the history of the own building itself in the period of time in which it worked as a telegraph and post office. This play proposes a new way to see and create the memory since the experiences with the purpose of communicates, keep and give value to the place´s historical memory and to its poetic.
keywords	Video Mapping, Poetic, Memory, Telegraph, Pasaje Corazon de Jesús building
series	SIGraDi
email
last changed	2021/07/16 11:53

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