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	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	acadia18_394
id	acadia18_394
authors	Adel, Arash; Thoma, Andreas; Helmreich, Matthias; Gramazio, Fabio; Kohler, Matthias
year	2018
title	Design of Robotically Fabricated Timber Frame Structures
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 394-403
doi	https://doi.org/10.52842/conf.acadia.2018.394
summary	This paper presents methods for designing nonstandard timber frame structures, which are enabled by cooperative multi-robotic fabrication at building-scale. In comparison to the current use of automated systems in the timber industry for the fabrication of plate-like timber frame components, this research relies on the ability of robotic arms to spatially assemble timber beams into bespoke timber frame modules. This paper investigates the following topics: 1) A suitable constructive system facilitating a just-in-time robotic fabrication process. 2) A set of assembly techniques enabling cooperative multi-robotic spatial assembly of bespoke timber frame modules, which rely on a man-machine collaborative scenario. 3) A computational design process, which integrates architectural requirements, fabrication constraints, and assembly logic. 4) Implementation of the research in the design and construction of a multi-story building, which validates the developed methods and highlights the architectural implications of this approach.
keywords	full paper, fabrication & robotics, generative design, computation, timber architecture
series	ACADIA
type	paper
email
last changed	2022/06/07 07:54

_id	sigradi2018_1612
id	sigradi2018_1612
authors	Miyasaka, Elza Luli; Minto Fabricio, Márcio; Paoletti, Ingrid
year	2018
title	Industry 4.0 and the Civil Construction in Brazil
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 690-694
summary	This paper aims to make an exploratory research about the dissemination of the purpose of Industry 4.0 concept in Brazil, that was introduced by Germany in 2011, especially in Architecture, Engineering and Construction sector. For this aim it was made a survey in magazines on line. As results was verified that the area that is discussing the concept are essentially productions engineering with a inexpressive repercussion in civil construction.
keywords	Industry 4.0, Digital Fabrication, Technopolítics, Brazil
series	SIGRADI
email
last changed	2021/03/28 19:59

_id	sigradi2018_1353
id	sigradi2018_1353
authors	Verissimo, Cristina
year	2018
title	Cork: New uses in Architecture
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 9780-984
summary	Cork usage is one of the most promising trends in sustainable development of materials, due to its unique natural properties, exceptionally good environmental qualities and its high potential to incorporate innovative technology. It can be reused, and it is built with renewable and reusable materials that contain lower levels of embedded energy and carbon. Today amongst other uses we see cork used as a textile for clothing, in automobile parts, and as a thermal shield in space crafts. However, there is still a lack of information and diffusion within the engineering and architecture sectors; stakeholders lack awareness of how to use and select cork materials for construction, compared with other competing products. This research plans to explore future cork industry developments, cork recycling and new cork-based materials, which are still in various stages of development with enormous potential for construction as an eco-friendly solution. The aim is to test or adapt them to be used in construction, with an emphasis in CAD/CAM fabrication processes. Hoping that in the future there will be greater application in architecture and eventually will contribute to greater sustainability in the construction business as well as the cork sector.
keywords	Cork; Sustainable material; Materials engineers design; Architecture; Culture
series	SIGRADI
email
last changed	2021/03/28 19:59

_id	acadia18_206
id	acadia18_206
authors	Farahi, Behnaz
year	2018
title	HEART OF THE MATTER: Affective Computing in Fashion and Architecture
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 206-215
doi	https://doi.org/10.52842/conf.acadia.2018.206
summary	What if material interfaces could physically adapt to the user’s emotional state in order to develop a new affective interaction? By using emotional computing technologies to track facial expressions, material interfaces can help to regulate emotions. They can serve either as a tool for intelligence augmentation or as a means of leveraging an empathic relationship by developing an affective loop with the user. This paper explores how color- and shape-changing operations can be used as interactive design tools to convey emotional information, and is illustrated by two projects, one at the intimate scale of fashion and one at a more architectural scale. By engaging with design, art, psychology, and computer and material science, this paper envisions a world where material systems can detect the emotional responses of a user and reconfigure themselves in order to enter into a feedback loop with the user’s affective state and influence social interaction.
keywords	full paper, materials & adaptive systems, materials/adaptive systems, computation.
series	ACADIA
type	paper
email
last changed	2022/06/07 07:55

_id	acadia18_232
id	acadia18_232
authors	Kilian, Axel
year	2018
title	The Flexing Room Architectural Robot. An Actuated Active-Bending Robotic Structure using Human Feedback
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 232-241
doi	https://doi.org/10.52842/conf.acadia.2018.232
summary	Advances in autonomous control of object-scale robots, both anthropomorphic and vehicular, are posing new human–machine interface challenges. In architecture, very few examples of autonomous inhabitable robotic architecture exist. A number of factors likely contribute to this condition, among them the scale and cost of architectural adaptive systems, but on a more fundamental conceptual level also the questions of how architectural robots would communicate with their human inhabitants. The Flexing Room installation is a room-sized actuated active-bending skeleton structure. It uses rudimentary social feedback by counting people to inform its behavior in the form of actuated poses of the room enclosure. An operational full-scale prototype was constructed and tested. To operate it no geometric-based simulation was used; the only communication between computer and structure was in sending values for the air pressure settings and in gathering sensor feedback. The structure’s physical state was resolved through the embodied computation of its interconnected parts, and the people-counting sensor feedback influences its next action. Future work will explore the development of learning processes to improve the human–machine coexistence in space.
keywords	full paper, fabrication & robotics, non-production robotics, materials/adaptive systems, flexible structures
series	ACADIA
type	paper
email
last changed	2022/06/07 07:52

_id	acadia18_146
id	acadia18_146
authors	Rossi, Gabriella; Nicholas, Paul
year	2018
title	Re/Learning the Wheel. Methods to Utilize Neural Networks as Design Tools for Doubly Curved Metal Surfaces
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 146-155
doi	https://doi.org/10.52842/conf.acadia.2018.146
summary	This paper introduces concepts and computational methodologies for utilizing neural networks as design tools for architecture and demonstrates their application in the making of doubly curved metal surfaces using a contemporary version of the English Wheel. The research adopts an interdisciplinary approach to develop a novel method to model complex geometric features using computational models that originate from the field of computer vision. The paper contextualizes the approach with respect to the current state of the art of the usage of artificial neural networks both in architecture and beyond. It illustrates the cyber physical system that is at the core of this research, with a focus on the employed neural network–based computational method. Finally, the paper discusses the repercussions of these design tools on the contemporary design paradigm.
keywords	full paper, ai & machine learning, digital craft, robotic production, computation
series	ACADIA
type	paper
email
last changed	2022/06/07 07:56

_id	acadia18_108
id	acadia18_108
authors	Sanchez, Jose
year	2018
title	Platforms for Architecture: Imperatives and Opportunities of Designing Online Networks for Design
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 108-117
doi	https://doi.org/10.52842/conf.acadia.2018.108
summary	The rise of platforms such as Facebook, YouTube, and Uber, initially celebrated as part of a disruptive new era of the internet, has slowly been reassessed as a problematic and unregulated form of twenty-first-century info-capitalism that contributes to inequality, mistrust, and user polarization. The internet has become a place for content creation, not only consumption, and the content freely created by the network of users has defined a self-organizing system of ad-hoc audiences following echo chambers organized through artificial intelligence, which amplifies previously identified trends. While a large portion of the content created by users seems to be aimed at personal forms of entertainment, a few remarkable projects, such as Wikipedia, have allowed hundreds of users to contribute to a collective goal. While we can observe that the platform model has appeared in diverse disciplines, allowing the creation of content from news articles to music, we have not seen the emergence of a robust design platform intended to proliferate and advance the discipline of architecture. This paper makes the case that video game technology and its audiences have reached a state of technical capability that could allow for architectural platforms to emerge, one in which players could learn, create, and share architectural designs. Such a platform comes with a series of ethical imperatives, questions of value proposition, and liabilities, as well as a high potential to communicate and proliferate architectural knowledge and know-how. Common’hood, currently under development, will be used as a case study to engage the development of an ethical architectural platform that develops a proposition towards authorship, ownership, and collective engagement.
keywords	full paper, platforms, capitalism, network, video game, combinatorics, information theory, entropy, co-ops, platform cooperativism, privacy, encryption
series	ACADIA
type	paper
email
last changed	2022/06/07 07:56

_id	acadia20_340
id	acadia20_340
authors	Soana, Valentina; Stedman, Harvey; Darekar, Durgesh; M. Pawar, Vijay; Stuart-Smith, Robert
year	2020
title	ELAbot
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. 340-349.
doi	https://doi.org/10.52842/conf.acadia.2020.1.340
summary	This paper presents the design, control system, and elastic behavior of ELAbot: a robotic bending active textile hybrid (BATH) structure that can self-form and transform. In BATH structures, equilibrium emerges from interaction between tensile (form active) and elastically bent (bending active) elements (Ahlquist and Menges 2013; Lienhard et al. 2012). The integration of a BATH structure with a robotic actuation system that controls global deformations enables the structure to self-deploy and achieve multiple three-dimensional states. Continuous elastic material actuation is embedded within an adaptive cyber-physical network, creating a novel robotic architectural system capable of behaving autonomously. State-of-the-art BATH research demonstrates their structural efficiency, aesthetic qualities, and potential for use in innovative architectural structures (Suzuki and Knippers 2018). Due to the lack of appropriate motor-control strategies that exert dynamic loading deformations safely over time, research in this field has focused predominantly on static structures. Given the complexity of controlling the material behavior of nonlinear kinetic elastic systems at an architectural scale, this research focuses on the development of a cyber-physical design framework where physical elastic behavior is integrated into a computational design process, allowing the control of large deformations. This enables the system to respond to conditions that could be difficult to predict in advance and to adapt to multiple circumstances. Within this framework, control values are computed through continuous negotiation between exteroceptive and interoceptive information, and user/designer interaction.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2018_301
id	ecaade2018_301
authors	Cocho-Bermejo, Ana, Birgonul, Zeynep and Navarro-Mateu, Diego
year	2018
title	Adaptive & Morphogenetic City Research Laboratory
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 659-668
doi	https://doi.org/10.52842/conf.ecaade.2018.2.659
summary	"Smart City" business model is guiding the development of future metropolises. Software industry sales to town halls for city management services efficiency improvement are, these days, a very pro?table business. Being the model decided by the industry, it can develop into a dangerous situation in which the basis of the new city design methodologies is decided by agents outside academia expertise. Drawing on complex science, social physics, urban economics, transportation theory, regional science and urban geography, the Lab is dedicated to the systematic analysis of, and theoretical speculation on, the recently coined "Science of Cities" discipline. On the research agenda there are questions arising from the synthesis of architecture, urban design, computer science and sociology. Collaboration with citizens through inclusion and empowerment, and, relationships "City-Data-Planner-Citizen" and "Citizen-Design-Science", configure Lab's methodology provoking a dynamic responsive process of design that is yet missing on the path towards the real responsive city.
keywords	Smart City; Morphogenetic Urban Design; Internet of Things; Building Information Modelling; Evolutionary Algorithms; Machine Learning & Artificial Intelligence
series	eCAADe
email
last changed	2022/06/07 07:56

_id	acadia18_88
id	acadia18_88
authors	Jahn, Gwyllim; Newnham, Cameron; Beanland, Matthew
year	2018
title	Making in Mixed Reality. Holographic design, fabrication, assembly and analysis of woven steel structures
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 88-97
doi	https://doi.org/10.52842/conf.acadia.2018.088
summary	The construction industry’s reliance on two-dimensional documentation results in inefficiency, inconsistency, waste, human error, and increased cost, and limits architectural experimentation with novel form, structure, material or fabrication approaches. We describe a software platform that enables designers to create interactive holographic instructions that translate design models into intelligent processes rather than static drawings. A prototypical project to design and construct a pavilion from bent mild steel tube illustrates the use of this software to develop applications assisting with the design, fabrication, assembly and analysis of the structure. We further demonstrate that fabrication within mixed reality environments can enable unskilled construction teams to assemble complex structures in short time frames and with minimal errors, and outline possibilities for further improvements.
keywords	full paper, vr/ar/mr, digital fabrication, digital craft
series	ACADIA
type	paper
email
last changed	2022/06/07 07:52

_id	ecaade2018_233
id	ecaade2018_233
authors	Kontiza, Iacovina, Spathi, Theodora and Bedarf, Patrick
year	2018
title	Spatial Graded Patterns - A case study for large-scale differentiated space frame structures utilising high-speed 3D-printed joints
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 39-46
doi	https://doi.org/10.52842/conf.ecaade.2018.2.039
summary	Geometric differentiation is no longer a production setback for industrial grade architectural components. This paper introduces a design and fabrication workflow for non-repetitive large-scale space frame structures composed of custom-manufactured nodes, which exploits the advantages of latest advancements in 3D-printing technology. By integrating design, fabrication and material constraints into a computational methodology, the presented approach addresses additive manufacturing of functional industry-grade parts in short time, high speed and low cost. The resulting case study of a 4.5 x 4.5 x 2.5 m lightweight kite structure comprises 1380 versatile fully-customised connectors and outlines the manifold potential of additive manufacturing for architecture much bigger than the machine built space. First, after briefly introducing space frames in architecture, this paper discusses the computational framework of generating irregular space frames and parametric joint design. Second, it examines the advantages of MJF printing in conjunction with integrating smart sequencing details for the following assembly process. Finally, a conclusive outlook is given on improvements and further developments for bespoke 3D-printed space frame structures.
keywords	3D-printing; Multi-Jet Fusion; Space Frame; Graded Subdivision
series	eCAADe
email
last changed	2022/06/07 07:51

_id	acadia18_166
id	acadia18_166
authors	Kvochick, Tyler
year	2018
title	Sneaky Spatial Segmentation. Reading Architectural Drawings with Deep Neural Networks and Without Labeling Data
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 166-175
doi	https://doi.org/10.52842/conf.acadia.2018.166
summary	Currently, it is nearly impossible for an artificial neural network to generalize a task from very few examples. Humans, however, excel at this. For instance, it is not necessary for a designer to see thousands or millions of unique examples of how to place a given drawing symbol in a way that meets the economic, aesthetic, and performative goals of the project. In fact, the goals can be (and usually are) communicated abstractly in natural language. Machine learning (ML) models, however, do need numerous examples. The methods that we explore here are an attempt to circumvent this in order to make ML models more immediately useful. In this work, we present progress on the application of contemporary ML techniques to the design process in the architecture, engineering, and construction (AEC) industry. We introduce a technique to partially circumvent the data hungriness of neural networks, which is a significant impediment to their application outside of the ML research community. We also show results on the applicability of this technique to real-world drawings and present research that addresses how some fundamental attributes of drawings as images affect the way they are interpreted in deep neural networks. Our primary contribution is a technique to train a neural network to segment real-world architectural drawings after using only generated pseudodrawings.
keywords	full paper, representation + perception, computation, ai & machine learning
series	ACADIA
type	paper
email
last changed	2022/06/07 07:51

_id	ecaade2018_234
id	ecaade2018_234
authors	Loh, Paul, Leggett, David and Prohasky, Daniel
year	2018
title	CNC Adjustable Mould to Eliminate Waste in Concrete Casting
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 735-742
doi	https://doi.org/10.52842/conf.ecaade.2018.1.735
summary	Fabricating complex curvature in concrete panel typically required unique one-off formwork which is usually computer numerically controlled (CNC) milled, generating enormous waste as a by-product. What if, we can produce complex curvature in concrete with minimal or no immediate construction waste? This paper presents a novel machine designed by a team of architects and engineer to eliminate waste in concrete casting. Using a hyperbolic paraboloid geometric model, the machine produces variable shape using a single mould design reducing waste and cost to the casting process. The paper discussed the design framework of the system and its fabrication workflow. The outcome is digitally scanned and verified to satisfy industry standard. The paper concludes by reviewing the application of the system and highlighting the need for future research into digital fabrication and design that is less wasteful and waste conscious to better the process of constructing our built environment.
keywords	Digital fabrication; Concrete casting; Adjustable mould
series	eCAADe
email
last changed	2022/06/07 07:59

_id	acadia18_250
id	acadia18_250
authors	Seibold, Zach; Grinham, Jonathan; Geletina, Olga; Ahanotu, Onyemaechi; Sayegh, Allen; Weaver, James; Bechthold, Martin
year	2018
title	Fluid Equilibrium: Material Computation in Ferrofluidic Castings
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 250-259
doi	https://doi.org/10.52842/conf.acadia.2018.250
summary	We present a computationally-based manufacturing process that allows for variable pattern casting through the use of ferrofluid – a mixture of suspended magnetic nanoparticles in a carrier liquid. The capacity of ferrofluid to form intricate spike and labyrinthine packing structures from ferrohydrodynamic instabilities is well recognized in industry and popular science. In this paper we employ these instabilities as a mold for the direct casting of rigid materials with complex periodic features. Furthermore, using a bitmap-based computational workflow and an array of high-strength neodymium magnets with linear staging, we demonstrate the ability to program the macro-scale pattern formation by modulating the magnetic field density within a single cast. Using this approach, it is possible to program specific patterns in the resulting cast tiles at both the micro- and macro-scale and thus generate tiled arrays with predictable halftone-like image features. We demonstrate the efficacy of this approach for a variety of materials typically used in the architecture, engineering, and construction industries (AEC) including epoxys, ceramics, and cements.
keywords	full paper, materials & adaptive systems, digital fabrication, digital materials, physics
series	ACADIA
type	paper
email
last changed	2022/06/07 08:00

_id	acadia18_82
id	acadia18_82
authors	Sun, Chengyu; Zheng, Zhaohua; Sun, Tongyu
year	2018
title	Hybrid Fabrication. A free-form building process with high on-site flexibility and acceptable accumulative error
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 82-87
doi	https://doi.org/10.52842/conf.acadia.2018.082
summary	Although digital fabrication has a booming development in the building industry, especially in freeform building, its further application in onsite operations is still limited because of the huge flexibility required in programming. On the contrary, traditional manual fabrication onsite deals perfectly with problems that always accompany fatal accumulative errors in freeform building. This study explores a hybrid fabrication paradigm to take advantage of both in an onsite freeform building project, in which there is a cycling human–computer interactive process consisting of manual operation and computer guidance in real time. A Hololens-Kinect system in a framework of typical project camera systems is used in the demonstration. When human builders perceive, decide, and operate the irregular foam bricks in a complex onsite environment, the computer keeps updating the current form through 3D scanning and prompting the position and orientation of the next brick through augmented display. From a starting vault, the computer always fine tunes its control surface according to the gradually installed bricks and keeps following a catenary formula. Thus, the hybrid fabrication actually benefits from the flexibility based on human judgment and operation, and an acceptable level of accumulative error can be handled through computer guidance concerning the structural performance and formal accuracy.
keywords	work in progress, vr/ar/mr, hybrid practices
series	ACADIA
type	paper
email
last changed	2022/06/07 07:56

_id	sigradi2018_1367
id	sigradi2018_1367
authors	Valverde Arrotéia, Aline; Paes, Daniel; Irizarry, Javier; Burrattino Melhado, Silvio
year	2018
title	A comparative diagnosis of students’ proficiency in BIM in construction-related graduate programs in Brazil and in the United States
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 991-996
summary	Although BIM has been transforming the AEC industry worldwide, the quality of BIM education is still unclear. In an effort to investigate the current state of BIM integration into higher education curricula, the main goal of this study was to evaluate, compare, and reflect on students’ proficiency in BIM between two very distinct graduate courses in Brazil and in the United States. Findings suggest a critical lack of knowledge, either foundational (in the U.S.) or procedural knowledge (in Brazil). Finally, measures that could improve the students’ proficiency in BIM are suggested.
keywords	Building Information Modeling; Construction education; BIM proficiency; Collaborative environments
series	SIGRADI
email
last changed	2021/03/28 19:59

_id	acadia23_v3_71
id	acadia23_v3_71
authors	Vassigh, Shahin; Bogosian, Biayna
year	2023
title	Envisioning an Open Knowledge Network (OKN) for AEC Roboticists
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 3: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-1-0]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 24-32.
summary	The construction industry faces numerous challenges related to productivity, sustainability, and meeting global demands (Hatoum and Nassereddine 2020; Carra et al. 2018; Barbosa, Woetzel, and Mischke 2017; Bock 2015; Linner 2013). In response, the automation of design and construction has emerged as a promising solution. In the past three decades, researchers and innovators in the Architecture, Engineering, and Construction (AEC) fields have made significant strides in automating various aspects of building construction, utilizing computational design and robotic fabrication processes (Dubor et al. 2019). However, synthesizing innovation in automation encounters several obstacles. First, there is a lack of an established venue for information sharing, making it difficult to build upon the knowledge of peers. First, the absence of a well-established platform for information sharing hinders the ability to effectively capitalize on the knowledge of peers. Consequently, much of the research remains isolated, impeding the rapid dissemination of knowledge within the field (Mahbub 2015). Second, the absence of a standardized and unified process for automating design and construction leads to the individual development of standards, workflows, and terminologies. This lack of standardization presents a significant obstacle to research and learning within the field. Lastly, insufficient training materials hinder the acquisition of skills necessary to effectively utilize automation. Traditional in-person robotics training is resource-intensive, expensive, and designed for specific platforms (Peterson et al. 2021; Thomas 2013).
series	ACADIA
type	field note
email
last changed	2024/04/17 13:59

_id	caadria2024_176
id	caadria2024_176
authors	Xiao, Yijun and Yuan, Sinan
year	2024
title	Unraveling the Dynamics of Urban Catering: Analysing the Factors in Shaping Neighbourhood Restaurants Sceneries
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. 485–494
doi	https://doi.org/10.52842/conf.caadria.2024.2.485
summary	This research explores the dynamics of neighbourhood restaurants distribution in Tianjin, China, against the backdrop of rapid urbanization and evolving consumer preferences. Analysing key factors such as consumer demand, transportation, location, built environment, and competition, the study utilizes count regression models to assess occurrence frequency. The investigation reveals a significant surge in community restaurants from 2018 to 2021, influencing spatial patterns. Population density, housing prices, transportation infrastructure, and built environment emerge as pivotal factors impacting neighbourhood restaurants dynamics. The Hurdle-NB model, considering both count and zero parts, demonstrates the best fit. This study contributes nuanced insights for policymakers and industry stakeholders, aiding in enhancing accessibility, sustainability, and competitiveness of neighbourhood restaurants in urban areas amidst changing urban dynamics and consumer trends.
keywords	Urban Catering, Culinary Geography, Neighbourhood Restaurants
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	cdrf2021_286
id	cdrf2021_286
authors	Yimeng Wei, Areti Markopoulou, Yuanshuang Zhu,Eduardo Chamorro Martin, and Nikol Kirova
year	2021
title	Additive Manufacture of Cellulose Based Bio-Material on Architectural Scale
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_27
summary	There are severe environmental and ecological issues once we evaluate the architecture industry with LCA (Life Cycle Assessment), such as emission of CO2 caused by necessary high temperature for producing cement and significant amounts of Construction Demolition Waste (CDW) in deteriorated and obsolete buildings. One of the ways to solve these problems is Bio-Material. CELLULOSE and CHITON is the 1st and 2nd abundant substance in nature (Duro-Royo, J.: Aguahoja_ProgrammableWater-based Biocomposites for Digital Design and Fabrication across Scales. MIT, pp. 1–3 (2019)), which means significantly potential for architectural dimension production. Meanwhile, renewability and biodegradability make it more conducive to the current problem of construction pollution. The purpose of this study is to explore Cellulose Based Biomaterial and bring it into architectural scale additive manufacture that engages with performance in the material development, with respect to time of solidification and control of shrinkage, as well as offering mechanical strength. At present, the experiments have proved the possibility of developing a cellulose-chitosan- based composite into 3D-Printing Construction Material (Sanandiya, N.D., Vijay, Y., Dimopoulou, M., Dritsas, S., Fernandez, J.G.: Large-scale additive manufacturing with bioinspired cellulosic materials. Sci. Rep. 8(1), 1–5 (2018)). Moreover, The research shows that the characteristics (Such as waterproof, bending, compression, tensile, transparency) of the composite can be enhanced by different additives (such as xanthan gum, paper fiber, flour), which means it can be customized into various architectural components based on Performance Directional Optimization. This solution has a positive effect on environmental impact reduction and is of great significance in putting the architectural construction industry into a more environment-friendly and smart state.
series	cdrf
email
last changed	2022/09/29 07:53

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