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	sigradi2020_441
id	sigradi2020_441
authors	Torreblanca-Díaz, David A.; Valencia Cardona, Raúl Adolfo; Perafán Lopez, Juan Carlos ; Sevilla Cadavid, Gustavo Adolfo
year	2020
title	A methodology for the evaluation, analysis, and selection of bioinspired textures, using Computational Fluid Dynamics (CFD) and wind tunnel for aerodynamic improvements in sports design
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. 441-448
summary	Sports disciplines have evolved in recent decades to improve the performance of athletes, as a result of interdisciplinary convergence. Computational Fluid Dynamics (CFD) and wind tunnel have gained relevance in sports design to predict the aerodynamic behavior. On the other hand, Bio-informed disciplines study nature to solve human problems, in order to generate innovation with or without sustainable results. This text presents a first proposal of a methodology oriented to the evaluation, analysis, and selection of bioinspired digital textures, in order to improve the aerodynamic performance in sports product design, through the integration of CFD and wind tunnel testing.
keywords	Aerodynamics, Bio-informed disciplines, Computational Fluid Dynamics (CFD), Sports Engineering, Computer Aided Engineering (CAE)
series	SIGraDi
email
last changed	2021/07/16 11:49

_id	ecaade2020_517
id	ecaade2020_517
authors	Lharchi, Ayoub, Ramsgaard Thomsen, Mette and Tamke, Martin
year	2020
title	Connected Augmented Assembly - Cloud based Augmented Reality applications in architecture
doi	https://doi.org/10.52842/conf.ecaade.2020.1.179
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. 179-186
summary	Current design practices rely on a set of computational tools to simulate and optimize the design in regards to questions concerning architecture, engineering, and construction. However, little progress has been made in tools related to the design and execution of a building assembly. This paper aims to present an integrated procedure that targets the assembly of complex structures. Two challenges are identified and addressed: first, the necessity of a connected design environment where multiple stakeholders can communicate, modify, and give feedback on the assembly sequence. Second, the instructions for the assembly of structures to untrained users. The suggested method is based on the Assembly Information Modeling framework, which provides a general approach to generate assembly information from CAD data and utilizes AEC cloud platforms as a base for communication and Augmented Reality devices as a Human Machine Interface. Ultimately, both cases are combined to constitute Connected Augmented Assembly, a bidirectional approach to assembly design, review, and execution.
keywords	assembly sequence; augmented reality; assisted assembly; cloud aec; assembly information modeling
series	eCAADe
email
last changed	2022/06/07 07:52

_id	caadria2020_257
id	caadria2020_257
authors	Lu, Yao, Birol, Eda Begum, Johnson, Colby, Hernandez, Christopher and Sabin, Jenny
year	2020
title	A Method for Load-responsive Inhomogeneity and Anisotropy in 3D Lattice Generation Based on Ellipsoid Packing
doi	https://doi.org/10.52842/conf.caadria.2020.1.395
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. 395-404
summary	3D lattice structures are gaining widespread application in multiple design fields. While the number of projects that utilize load-responsive inhomogeneous and anisotropic 3D lattices in design applications increase, accessible and effective algorithmic generation methodologies remain lacking. This paper addresses this gap by introducing a novel computational method for controlled load-responsive inhomogeneity and anisotropy in 3D lattice generation. The presented methods employ a responsive Ellipsoid Packing algorithm informed by the global tensor field of the packing geometry, followed by a Kissing Ellipsoids algorithm to generate the lattice. Load specific anisotropy and inhomogeneity in the ellipsoid packing process is achieved in response to the magnitude and directionality values of the global tensor field and specialized responsive lattices are easily generated. The proposed Ellipsoid Packing workflow is compared to various common lattice generation algorithms. Results show improvement in mechanical performance.
keywords	3D lattice; ellipsoid packing; bio-inspired; algorithmic design; ceramic brick
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	acadia20_360
id	acadia20_360
authors	Schneider, Maxie; Fransén Waldhör, Ebba; Denz, Paul-Rouven; Vongsingha, Puttakhun; Suwannapruk, Natchai; Sauer, Christiane
year	2020
title	Adaptive Textile Facades Through the Integration of Shape Memory Alloy
doi	https://doi.org/10.52842/conf.acadia.2020.1.360
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. 360-370.
summary	The R&D project ADAPTEX showcases a material-driven and computationally informed design approach to adaptive textile facades through the integration of shape memory alloy (SMA) as an actuator. The results exhibit thermally responsive and self-sufficient sun-shading solutions with innovative design potential that enhance the energy performance of the built environment. With regard to climate targets, an environmentally viable concept is proposed that reduces the energy required for climatization, is lightweight, and can function as a refurbishment system. Two concepts—ADAPTEX Wave and ADAPTEX Mesh—are being developed to be tested as full-scale demonstrators for facade deployment by an interdisciplinary team from architecture, textile design, facade engineering, and material research. The two concepts follow a material-driven, low-complexity design strategy and differ in type of kinetic movement, textile construction, integration of the SMA, reset force, and scale of permeability. In this paper, we describe the computational design process and tools to develop and design current and future prototypes and demonstrators, providing insights on the challenges and potentials of developing textiles with integrated shape memory alloys for architectural applications.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia20_574
id	acadia20_574
authors	Nguyen, John; Peters, Brady
year	2020
title	Computational Fluid Dynamics in Building Design Practice
doi	https://doi.org/10.52842/conf.acadia.2020.1.574
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.
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	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	ecaade2020_484
id	ecaade2020_484
authors	Aguilar, Pavel, Borunda, Luis and Pardal, Cristina
year	2020
title	Additive Manufacturing of Variable-Density Ceramics, Photocatalytic and Filtering Slats
doi	https://doi.org/10.52842/conf.ecaade.2020.1.097
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. 97-106
summary	Additive Manufacturing (AM) offers the potential development of novel architectural applications of ceramic building components that can be engineered at the level of material to the extent of designing its performance and properties by density variations. This research presents a computational method and fabrication technique emulating complex material behavior via AM of intricate geometries and presents components with photocatalytic and climatic properties. It proposes an innovative application of AM of ceramic components in architecture to explore potential bioclimatic and antipollution performative use. Lattices are defined and manufactured with density variation gradients by tracing rectilinear clay deposition toolpaths that induce porosity intended for fluid filtering and to maximize sun exposure. The design method for photocatalytic, particle filtration and evaporative cooling local characterization introduced by complex patterning elements in architectural envelope slat components processed with radiation analysis influenced design are validated by simulation and experimental testing on specimens manufactured by paste extrusion.
keywords	Ceramic 3D Printing; Paste Extrusion; Photocatalytic Filter; Performative Design
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2020_047
id	ecaade2020_047
authors	Brown, Lachlan, Yip, Michael, Gardner, Nicole, Haeusler, M. Hank, Khean, Nariddh, Zavoleas, Yannis and Ramos, Cristina
year	2020
title	Drawing Recognition - Integrating Machine Learning Systems into Architectural Design Workflows
doi	https://doi.org/10.52842/conf.ecaade.2020.2.289
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. 289-298
summary	Machine Learning (ML) has valuable applications that are yet to be proliferated in the AEC industry. Yet, ML offers arguably significant new ways to produce and assist design. However, ML tools are too often out of the reach of designers, severely limiting opportunities to improve the methods by which designers design. To address this and to optimise the practices of designers, the research aims to create a ML tool that can be integrated into architectural design workflows. Thus, this research investigates how ML can be used to universally move BIM data across various design platforms through the development of a convolutional neural network (CNN) for the recognition and labelling of rooms within floor plan images of multi-residential apartments. The effects of this computation and thinking shift will have meaningful impacts on future practices enveloping all major aspects of our built environment from designing, to construction to management.
keywords	machine learning; convolutional neural networks; labelling and classification; design recognition
series	eCAADe
email
last changed	2022/06/07 07:54

_id	acadia20_74
id	acadia20_74
authors	Bucklin, Oliver; Born, Larissa; Körner, Axel; Suzuki, Seiichi; Vasey, Lauren; T. Gresser, Götz; Knippers, Jan; Menges,
year	2020
title	Embedded Sensing and Control
doi	https://doi.org/10.52842/conf.acadia.2020.1.074
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. 74-83.
summary	This paper investigates an interactive and adaptive control system for kinetic architectural applications with a distributed sensing and actuation network to control modular fiber-reinforced composite components. The aim of the project was to control the actuation of a foldable lightweight structure to generate programmatic changes. A server parses input commands and geometric feedback from embedded sensors and online data to drive physical actuation and generate a digital twin for real-time monitoring. Physical components are origami-like folding plates of glass and carbon-fiber-reinforced plastic, developed in parallel research. Accelerometer data is analyzed to determine component geometry. A component controller drives actuators to maintain or move towards desired positions. Touch sensors embedded within the material allow direct control, and an online user interface provides high-level kinematic goals to the system. A hierarchical control system parses various inputs and determines actuation based on safety protocols and prioritization algorithms. Development includes hardware and software to enable modular expansion. This research demonstrates strategies for embedded networks in interactive kinematic structures and opens the door for deeper investigations such as artificial intelligence in control algorithms, material computation, as well as real-time modeling and simulation of structural systems.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	sigradi2020_149
id	sigradi2020_149
authors	Canestrino, Giuseppe; Laura, Greco; Spada, Francesco; Lucente, Roberta
year	2020
title	Generating architectural plan with evolutionary multiobjective optimization algorithms: a benchmark case with an existent construction system
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. 149-156
summary	In architectural design, evolutionary multiobjective optimization algorithms (EMOA) have found use in numerous practical applications in which qualitative and quantitative aspects can be transformed into fitness functions to be optimized. This paper shows that they can be used in an architectural plan design process that starts from a more traditional approach. The benchmark case uses a novel construction system, called Ac.Ca. Building, with a vast architectural and technological database, arleady validated, to generate architectural plan for a residential towerbuilding with a parametric approach and EMOA. The proposed framework differs from past research because uses spatial units with high level of architectural and tecnological definition.
keywords	Architectural design, Parametric architecture, Performance-driven design, architectural layout, evolutionary multiobjective optimization
series	SIGraDi
email
last changed	2021/07/16 11:48

_id	acadia20_708
id	acadia20_708
authors	Charbel, Hadin; López Lobato, Déborah
year	2020
title	Between Signal and Noise
doi	https://doi.org/10.52842/conf.acadia.2020.1.708
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. 708-718.
summary	Climate change continues to have noticeable and accelerated impacts on various territories. Previously predictable and recognizable patterns used by humans and nonhumans alike are perpetually being altered, turning localized signals into noise and effectively disrupting indigenous modes of life. While the use of certain technologies such as data collection, machine learning, and automation can render these otherwise patternless information streams into intelligible content, they are generally associated as being “territorializing,” as an increase in resolution generally lends itself to control, exploitation, and colonization. Contrarily, indigenous groups with long-lasting relationships that have evolved over time have distinct ways of reading and engaging with their contexts, developing sustainable practices that, while effective, are often overlooked as being compatible with contemporary tools. This paper examines how the use of traditionally territorializing technologies can be paired with indigenous knowledge and protocols in order to operate between signal and noise, rendering perverse changes in the landscape comprehensible while also presenting their applications as a facet for sociopolitical, cultural, and ecological adaptation. A methodology defined as “decoding” and “recoding” presents four distinct case studies in the Arctic, addressing various scales and targets with the aim of disrupting current trends in order to grant and/or retain autonomy through what can be read as a form of preservation via augmented adaptation.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2020_348
id	ecaade2020_348
authors	Chiujdea, Ruxandra Stefania and Nicholas, Paul
year	2020
title	Design and 3D Printing Methodologies for Cellulose-based Composite Materials
doi	https://doi.org/10.52842/conf.ecaade.2020.1.547
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. 547-554
summary	A growing awareness of architecture's environmental responsibility is encouraging a shift from an industrial age to an ecological one. This shift emphasises a new era of materiality, characterised by a special focus on bio-polymers. The potential of these materials is to address unsustainable modes of resource consumption, and to rebalance our relationship with the natural. However, bio-polymers also challenge current design and manufacturing practices, which rely on highly manufactured and standardized materials. In this paper, we present material experiments and digital design and fabrication methodologies for cellulose-based composites, to create porous biodegradable panels. Cellulose, the most abundant bio-polymer on Earth, has potential for differentiated architectural applications. A key limit is the critical role of additive fabrication methods for larger scale elements, which are a subject of ongoing research. In this paper, we describe how controlling the interdependent relationship between the additive manufacturing process and the material grading enables the manipulation of the material's performance, and the related control aspects including printing parameters such as speed, nozzle diameter, air flow, etc., as well as tool path trajectory. Our design exploration responds to the emerging fabrication methods to achieve different levels of porosity and depth which define the geometry of a panel.
keywords	cellulose-based composite material; additive manufacturing; material grading; digital fabrication; spatial print trajectory; porous panels
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ijac202018403
id	ijac202018403
authors	Dagmar Reinhardt, Matthias Hank Haeusler, Kerry London, Lian Loke, Yingbin Feng, Eduardo De Oliveira Barata, Charlotte Firth, Kate Dunn, Nariddh Khean, Alessandra Fabbri, Dylan Wozniak-O’Connor and Rin Masuda
year	2020
title	CoBuilt 4.0: Investigating the potential of collaborative robotics for subject matter experts
source	International Journal of Architectural Computing vol. 18 - no. 4, 353–370
summary	Human-robot interactions can offer alternatives and new pathways for construction industries, industrial growth and skilled labour, particularly in a context of industry 4.0. This research investigates the potential of collaborative robots (CoBots) for the construction industry and subject matter experts; by surveying industry requirements and assessments of CoBot acceptance; by investing processes and sequences of work protocols for standard architecture robots; and by exploring motion capture and tracking systems for a collaborative framework between human and robot co-workers. The research investigates CoBots as a labour and collaborative resource for construction processes that require precision, adaptability and variability.Thus, this paper reports on a joint industry, government and academic research investigation in an Australian construction context. In section 1, we introduce background data to architecture robotics in the context of construction industries and reports on three sections. Section 2 reports on current industry applications and survey results from industry and trade feedback for the adoption of robots specifically to task complexity, perceived safety, and risk awareness. Section 3, as a result of research conducted in Section 2, introduces a pilot study for carpentry task sequences with capture of computable actions. Section 4 provides a discussion of results and preliminary findings. Section 5 concludes with an outlook on how the capture of computable actions provide the foundation to future research for capturing motion and machine learning.
keywords	Industry 4.0, collaborative robotics, on-site robotic fabrication, industry research, machine learning
series	journal
email
last changed	2021/06/03 23:29

_id	cdrf2019_245
id	cdrf2019_245
authors	Dan Liang
year	2020
title	A Generative Material System of Clay Components-The Porosity Language
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_23
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
summary	Compared with the pre-determined architecture design based on standard elements, the underlying structure of nature is more like a complex system. Porosity language, for example, which is inspired by nature, has been widely applied in the architecture context. Through the analysis of the underlying methodologies of topology in each case, the strategy is to illustrate how clay components can achieve this natural porosity language. With the help of parametric topology, the report will clearly show how the innovative language of clay components is inspired, optimized and applied. As the background of the literature, natural porosity and examples of existing cavity wall made by clay components will be compared and analyzed in Sect. 1. In Sect. 2, Steven Hall’s porous methodology will be considered as the primary topological reference. The parametric iteration topology will be stated explicitly in Sect. 3, which will direct the randomness of porosity form to the balance between structural stability and the aesthetic value. In the last chapter, different architecture applications will be studied through the supporting of micro-climate simulation.
series	cdrf
email
last changed	2022/09/29 07:51

_id	caadria2020_315
id	caadria2020_315
authors	Feng, Shiyu, Du, Mengzeshan, Wang, Weiyi, Lu, Heng, Park, Daekwon and Ji, Guohua
year	2020
title	3D Printed Monolithic Joints - A Mechanically Bistable Joint
doi	https://doi.org/10.52842/conf.caadria.2020.1.173
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. 173-182
summary	This paper describes the design and fabrication process of an adaptive joint using 3D printed mono-material bistable mechanisms. The proposed joint deforms when external forces are applied, achieving two stable states. An x-shaped microstructure (simul-SLE) is designed for the connection portion of the bistable structure inside the joint. 3D-Printing experiments is conducted to explore the possibility of various forms of simul-SLE, which realize bistable by a single material. The experiment primarily solved two problems, namely the selection of materials and how to make the rigid 3D printed material acquires properties of flexibility and softness. Finally, practical applications are shown to prove the future of this joint.
keywords	3D printing; adaptive joint; mechanically-bistable joint
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	sigradi2020_392
id	sigradi2020_392
authors	Fialho, Beatriz Campos; Codinhoto, Ricardo; Fabricio, Márcio Minto
year	2020
title	BIM and IoT for the AEC Industry: A systematic literature 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. 392-399
summary	The AEC industry has been facing a digital transformation for improving services involved in buildings lifecycle, fostered by two disruptive technologies: Building Information Modelling (BIM) and Internet of Things (IoT). However, the literature lacks discussions regarding applications and challenges of BIM and IoT systems in the AEC. This Systematic Literature Mapping addresses this gap through search, analysis, and classification of 75 journal article abstracts published between 2015 and 2019. An increase of articles over the period is observed, predominantly with technical and processual solutions for Construction and Operation and Maintenance. The interoperability of data is a key challenge to organizations.
keywords	Building Information Modelling, Internet of Things, Integration, Network, Smart Cities
series	SIGraDi
email
last changed	2021/07/16 11:49

_id	caadria2020_016
id	caadria2020_016
authors	Gardner, Nicole, Meng, Leo Lin and Haeusler, M. Hank
year	2020
title	Computational Pragmatism - Computational design as pragmatist tools for the age of the Anthropocene
doi	https://doi.org/10.52842/conf.caadria.2020.2.487
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. 487-496
summary	The age of Anthropocene describes a geological epoch wherein human action is recognised as a global-scale geophysical force that is reaping devastating consequences for the natural environment. What the Anthropocene and pragmatist thinking share is an understanding of the coevolution of life and the planet (in pragmatism's terminology human-environment relations) through a deeply systemic view. This paper outlines how core methods and theories currently engaged under the rubric of computational design can also be understood to align to key tenets of pragmatism. In so doing, the question this raises is how more recent advancements in computation that include so-called Artificial Intelligence (AI) applications in design might operationalise distributed, shared, and significantly, interactional notions of systemic agency? The argument put forward here is that a neo-pragmatist perspective of computational design must fundamentally engage AI as the age of the Anthropocene necessitates a relinquishing of the privileged view of human-only agency and control over systems towards a more dynamic and interactional model.
keywords	Computational Design; Pragmatism; Artificial Intelligence; Anthropocene
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	caadria2020_426
id	caadria2020_426
authors	Goepel, Garvin and Crolla, Kristof
year	2020
title	Augmented Reality-based Collaboration - ARgan, a bamboo art installation case study
doi	https://doi.org/10.52842/conf.caadria.2020.2.313
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. 313-322
summary	ARgan is a geometrically complex bamboo sculpture that relied on Mixed Reality (MR) for its joint creation by multiple sculptors and used latest Augmented Reality (AR) technology to guide manual fabrication actions. It was built at the Chinese University of Hong Kong in the fall of 2019 by thirty participants of a design-and-build workshop on the integration of AR in construction. As part of its construction workflow, holographic setups were created on multiple devices, including a series of Microsoft HoloLenses and several handheld Smartphones, all linked simultaneously to a single digital base model to interactively guide the manufacturing process. This paper critically evaluates the experience of extending recent AR and MR tool developments towards applications that centre on creative collaborative production. Using ARgan as a demonstrator project, its developed workflow is assessed on its ability to transform a geometrically complex digitally drafted design to its final physically built form, highlighting the necessary strategic integration of variability as an opportunity to relax notions on design precision and exact control. The paper concludes with a plea for digital technology's ability to stimulate dialogue and collaboration in creative production and augment craftsmanship, thus providing greater agency and more diverse design output.
keywords	Augmented-Reality; Mixed-Reality; Post-digital; High-tech vs low-tech; Bamboo
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	cdrf2019_159
id	cdrf2019_159
authors	Hang Zhang and Ye Huang
year	2020
title	Machine Learning Aided 2D-3D Architectural Form Finding at High Resolution
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_15
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
summary	In the past few years, more architects and engineers start thinking about the application of machine learning algorithms in the architectural design field such as building facades generation or floor plans generation, etc. However, due to the relatively slow development of 3D machine learning algorithms, 3D architecture form exploration through machine learning is still a difficult issue for architects. As a result, most of these applications are confined to the level of 2D. Based on the state-of-the-art 2D image generation algorithm, also the method of spatial sequence rules, this article proposes a brand-new strategy of encoding, decoding, and form generation between 2D drawings and 3D models, which we name 2D-3D Form Encoding WorkFlow. This method could provide some innovative design possibilities that generate the latent 3D forms between several different architectural styles. Benefited from the 2D network advantages and the image amplification network nested outside the benchmark network, we have significantly expanded the resolution of training results when compared with the existing form-finding algorithm and related achievements in recent years
series	cdrf
email
last changed	2022/09/29 07:51

_id	ecaade2024_4
id	ecaade2024_4
authors	Irodotou, Louiza; Gkatzogiannis, Stefanos; Phocas, Marios C.; Tryfonos, George; Christoforou, Eftychios G.
year	2024
title	Application of a Vertical Effective Crank–Slider Approach in Reconfigurable Buildings through Computer-Aided Algorithmic Modelling
doi	https://doi.org/10.52842/conf.ecaade.2024.1.421
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 421–430
summary	Elementary robotics mechanisms based on the effective crank–slider and four–bar kinematics methods have been applied in the past to develop architectural concepts of reconfigurable structures of planar rigid-bar linkages (Phocas et al., 2020; Phocas et al., 2019). The applications referred to planar structural systems interconnected in parallel to provide reconfigurable buildings with rectangular plan section. In enabling structural reconfigurability attributes within the spatial circular section buildings domain, a vertical setup of the basic crank–slider mechanism is proposed in the current paper. The kinematics mechanism is integrated on a column placed at the middle of an axisymmetric circular shaped spatial linkage structure. The definition of target case shapes of the structure is based on a series of numerical geometric analyses that consider certain architectural and construction criteria (i.e., number of structural members, length, system height, span, erectability etc.), as well as structural objectives (i.e., structural behavior improvement against predominant environmental actions) aiming to meet diverse operational requirements and lightweight construction. Computer-aided algorithmic modelling is used to analyze the system's kinematics, in order to provide a solid foundation and enable rapid adaptation for mechanisms that exhibit controlled reconfigurations. The analysis demonstrates the implementation of digital parametric design tools for the investigation of the kinematics of the system at a preliminary design stage, in avoiding thus time-demanding numerical analysis processes. The design process may further provide enhanced interdisciplinary performance-based design outcomes.
keywords	Reconfigurable Structures, Spatial Linkage Structures, Kinematics, Parametric Associative Design
series	eCAADe
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last changed	2024/11/17 22:05

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