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 caadria2021_000
id caadria2021_000
authors A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.)
year 2021
title CAADRIA 2021: Projections, Volume 1
source PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, 768 p.
doi https://doi.org/10.52842/conf.caadria.2021.1
summary Rapidly evolving technologies are increasingly shaping our societies as well as our understanding of the discipline of architecture. Computational developments in fields such as machine learning and data mining enable the creation of learning networks that involve architects alongside algorithms in developing new understanding. Such networks are increasingly able to observe current social conditions, plan, decide, act on changing scenarios, learn from the consequences of their actions, and recognize patterns out of complex activity networks. While digital technologies have already enabled architecture to transcend static physical boxes, new challenges of the present and visions for the future continue to call for both innovative responses integrating emerging technologies into experimental architectural practice and their critical reflection. In this process, the capability of adapting to complex social and environmental challenges through learning, prototyping and verifying solution proposals in the context of rapidly shifting realities has become a core challenge to the architecture discipline. Supported by advancing technologies, architects and researchers are creating new frameworks for digital workflows that engage with new challenges in a variety of ways. Learning networks that recognize patterns from massive data, rapid prototyping systems that flexibly iterate innovative physical solutions, and adaptive design methods all contribute to a flexible and networked digital architecture that is able to learn from both past and present to evolve towards a promising vision of the future.
series CAADRIA
last changed 2022/06/07 07:49

_id caadria2021_001
id caadria2021_001
authors A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.)
year 2021
title CAADRIA 2021: Projections, Volume 2
source PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, 764 p.
doi https://doi.org/10.52842/conf.caadria.2021.2
summary Rapidly evolving technologies are increasingly shaping our societies as well as our understanding of the discipline of architecture. Computational developments in fields such as machine learning and data mining enable the creation of learning networks that involve architects alongside algorithms in developing new understanding. Such networks are increasingly able to observe current social conditions, plan, decide, act on changing scenarios, learn from the consequences of their actions, and recognize patterns out of complex activity networks. While digital technologies have already enabled architecture to transcend static physical boxes, new challenges of the present and visions for the future continue to call for both innovative responses integrating emerging technologies into experimental architectural practice and their critical reflection. In this process, the capability of adapting to complex social and environmental challenges through learning, prototyping and verifying solution proposals in the context of rapidly shifting realities has become a core challenge to the architecture discipline. Supported by advancing technologies, architects and researchers are creating new frameworks for digital workflows that engage with new challenges in a variety of ways. Learning networks that recognize patterns from massive data, rapid prototyping systems that flexibly iterate innovative physical solutions, and adaptive design methods all contribute to a flexible and networked digital architecture that is able to learn from both past and present to evolve towards a promising vision of the future.
series CAADRIA
last changed 2022/06/07 07:49

_id caadria2021_250
id caadria2021_250
authors Aghaei Meibodi, Mania, Odaglia, Pietro and Dillenburger, Benjamin
year 2021
title Min-Max: Reusable 3D printed formwork for thin-shell concrete structures - Reusable 3D printed formwork for thin-shell concrete structures
source A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 743-752
doi https://doi.org/10.52842/conf.caadria.2021.1.743
summary This paper presents an approach for reusable formwork for thin-shell, double-sided highly detailed surfaces based on binder jet 3D printing technology. Using binder jetting for reusable formwork outperforms the milled and 3D printed thermoplastic formwork in terms of speed and cost of fabrication, precision, and structural strength against deformation. The research further investigated the synergy of binder jetting sandstone formwork with glass-fiber reinforced concrete (GFRC) to fabricate lightweight, durable, and highly detailed facade elements.We could demonstrate the feasibility of this approach by fabricating a minimal surface structure assembled from 32 glass-fiber reinforced concrete elements, cast with 4 individual formwork elements, each of them reused 8 times. By showing that 3D printed (3DP) formwork cannot only be used once but also for small series production we increase the field of economic application of 3D printed formwork. The presented fabrication method of formwork based on additive manufacturing opens the door to more individualized, freeform architecture.
keywords Binder Jet 3D Printing; 3D Printed Formwork; Reusable Formwork; Minimal Surface; GFRC (GRC)
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2021_006
id caadria2021_006
authors Agirachman, Fauzan Alfi and Shinozaki, Michihiko
year 2021
title VRDR - An Attempt to Evaluate BIM-based Design Studio Outcome Through Virtual Reality
source A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 223-232
doi https://doi.org/10.52842/conf.caadria.2021.2.223
summary During the COVID-19 pandemic situation, educational institutions were forced to conduct all academic activities in distance learning formats, including the architecture program. This act barred interaction between students and supervisors only through their computers screen. Therefore, in this study, we explored an opportunity to utilize virtual reality (VR) technology to help students understand and evaluate design outcomes from an architectural design studio course in a virtual environment setting. The design evaluation process is focused on building affordance and user accessibility aspect based on the design objectives that students must achieve. As a result, we developed a game-engine based VR system called VRDR for evaluating design studio outcomes modeled as Building Information Modeling (BIM) models.
keywords virtual reality; building information modeling; building affordance; user accessibility; architectural education
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2021_273
id caadria2021_273
authors Allam, Sammar and Alaçam, Sema
year 2021
title A Comparative Analysis of the Tool-Based versus Material-Based Fabrication Pedagogy in the Context of Digital Craft
source A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 11-20
doi https://doi.org/10.52842/conf.caadria.2021.2.011
summary This study presents the comparative analysis of two undergraduate courses which focus on introducing digital fabrication to design students. The duration of the compared courses are 5 weeks and 7 weeks respectively. The study employs action research methodology, while the theoretical lectures, weekly exercises, materials, fabrication tools and techniques, and students' outcomes were used as data sources. Particularly the material-based pedagogy and tool-based pedagogy of the compared courses are evaluated in relation with the tools, materials and techniques. The outcomes of the study is expected to provide insights for instructors and design students in the context of digital craft.
keywords Digital Craft; Fabrication Techniques; Design Pedagogy; Tool-Based Fabrication; Material-Based Fabrication
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2021_399
id caadria2021_399
authors Alsalman, Osama, Erhan, Halil, Haas, Alyssa, Abuzuraiq, Ahmed M. and Zarei, Maryam
year 2021
title Design Analytics and Data-Driven Collaboration in Evaluating Alternatives
source A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 101-110
doi https://doi.org/10.52842/conf.caadria.2021.2.101
summary Evaluation of design ideas is an important task throughout the life cycle of design development in the AEC industry. It involves multiple stakeholders with diverse backgrounds and interests. However, there is limited computational support which through this collaboration is facilitated, in particular for projects that are complex. Current systems are either highly specialized for designers or configured for a particular purpose or design workflow overlooking other stakeholders' needs. We present our approach to motivating participatory and collaborative design decision-making on alternative solutions as early as possible in the design process. The main principle motivating our approach is giving the stakeholders the control over customizing the data presentation interfaces. We introduce our prototype system D-ART as a collection of customizable web interfaces supporting design data form and performance presentation, feedback input, design solutions comparisons, and feedback compiling and presentation. Finally, we started the evaluation of these interfaces through an expert evaluation process which generally reported positive results. Although the results are not conclusive, they hint towards the need for presenting and compiling feedback back to the designers which will be the main point of our future work.
keywords Design Analytics; Collaboration; Visualizations
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2021_216
id caadria2021_216
authors Aman, Jayedi, Tabassum, Nusrat, Hopfenblatt, James, Kim, Jong Bum and Haque, MD Obidul
year 2021
title Optimizing container housing units for informal settlements - A parametric simulation & visualization workflow for architectural resilience
source A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 51-60
doi https://doi.org/10.52842/conf.caadria.2021.1.051
summary In rapidly growing cities like Dhaka, Bangladesh, sustainable housing in urban wetlands and slums present a challenge to more affordable and livable cities. The Container Housing System (CHS) is among the latest methods of affordable, modular housing quickly gaining acceptance among local stakeholders in Bangladesh. Even though container houses made of heat-conducting materials significantly impact overall energy consumption, there is little research on the overall environmental impact of CHS. Therefore, this study aims to investigate the performance of CHS in the climatic context of the Korail slum in Dhaka. The paper proposes a building envelope optimization and visualization workflow utilizing parametric cluster simulation modeling, multi-objective optimization (MOO) algorithms, and virtual reality (VR) as an immersive visualization technique. First, local housing and courtyard patterns were used to develop hypothetical housing clusters. Next, the CHS design variables were chosen to conduct the MOO analysis to measure Useful Daylight Illuminance and Energy Use Intensity. Finally, the prototype was integrated into a parametric VR environment to enable local stakeholders to walk through the clusters with the goal of generating feedback. This study shows that the proposed method can be implemented by architects and planners in the early design process to help improve the stakeholders understanding of CHS and its impact on the environment. It further elaborates on the implementation results, challenges, limitations of the parametric framework, and future work needed.
keywords Multi-objective Optimization; Building Energy Use; CHS; Informal Settlements; Parametric VR
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2021_f02
id caadria2021_f02
authors Anastasia Globa, Jeroen van Ameijde, Adam Fingrut, Nayeon Kim and Sky Lo Tian Tian
year 2021
title CAADRIA 2021 (Front Matter Volume 2)
source A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. i-xxxiv
summary Front Matter
keywords CAADRIA; Front Matter
series CAADRIA
email
last changed 2021/03/29 09:17

_id caadria2021_f01
id caadria2021_f01
authors Anastasia Globa, Jeroen van Ameijde, Adam Fingrut, Nayeon Kim and Sky Lo Tian Tian
year 2021
title CAADRIA 2021 (Front Matter Volume 1)
source A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. i-xxxiv
summary Front Matter
keywords CAADRIA; Front Matter
series CAADRIA
email
last changed 2021/03/29 09:17

_id caadria2021_233
id caadria2021_233
authors Ascoli, Raphaël
year 2021
title Augmenting computational design agency in emerging economies
source A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 639-648
doi https://doi.org/10.52842/conf.caadria.2021.2.639
summary This /practice-based design research/ investigates the possibility of computational design to increase agency and impact in emerging economies through real-world projects. By cultivating a new kind of relationship to issues in development and local untapped resources, they inspire for more public engagement and resource-based conversations within a spatial framework. The topics that were addressed in this research are the democratization of data and affordability of construction. These two on-going early-stage initiatives have used computational design tools at specific areas in the projects development, therefore optimizing the parts where low-tech tools werent sufficient. This demand driven design process explores ways in which different levels of technology can augment each other.
keywords space; resource; housing; myanmar; optimization
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2021_291
id caadria2021_291
authors Bansal, Medha and Erdine, Elif
year 2021
title Bio-Mineralisation And In-Situ Fabrication Of In-Dune Spaces: Case Study Of Thar Desert
source A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 493-502
doi https://doi.org/10.52842/conf.caadria.2021.1.493
summary Desertification has made large productive landscapes in the South-west Thar desert redundant, subjected people to migration and induced a constant influx of sand into the region (Singhvi and Amal, 2014). The abundance of sand creates an opportunity to adopt an existing technique, Bio-mineralisation, to develop a sand based composite material which, when treated with a construction binder like sodium alginate, can be used for engineering purposes. The paper sets a theoretical framework to develop a fabrication mechanism with microbial-grout injections and propose the development of in-dune/underground assembly of habitable spaces. Each of the sub-components of material system, fabrication mechanism and In-dune structures are detailed, and evaluated to devise a hierarchy between them. Their interdependencies together inform design strategies, a phasing plan and global time scale for overall terrain transformation.
keywords Bio-mineralisation; Bio-grouting; In-dune fabrication; Tool path algorithms; Micro-climate analysis
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2021_110
id caadria2021_110
authors Bao, Ding Wen, Yan, Xin, Snooks, Roland and Xie, Yi Min
year 2021
title SwarmBESO: Multi-agent and evolutionary computational design based on the principles of structural performance
source A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 241-250
doi https://doi.org/10.52842/conf.caadria.2021.1.241
summary This paper posits a design approach that integrates multi-agent generative algorithms and structural topology optimisation to design intricate, structurally efficient forms. The research proposes a connection between two dichotomous principles: architectural complexity and structural efficiency. Both multi-agent algorithms and Bi-directional evolutionary structural optimisation (BESO) (Huang and Xie 2010), are emerging techniques that have significant potential in the design of form and structure.This research proposes a structural behaviour feedback loop through encoding BESO structural rules within the logic of multi-agent algorithms. This hybridisation of topology optimisation and swarm intelligence, described here as SwarmBESO, is demonstrated through two simple structural models. The paper concludes by speculating on the potential of this approach for the design of intricate, complex structures and their potential realisation through additive manufacturing.
keywords Swarm Intelligence; Multi-agent; BESO (bi-directional evolutionary structural optimisation); Intricate Architectural Form; Efficient Structure
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2021_088
id caadria2021_088
authors Batalle Garcia, Anna, Cebeci, Irem Yagmur, Vargas Calvo, Roberto and Gordon, Matthew
year 2021
title Material (data) Intelligence - Towards a Circular Building Environment
source A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 361-370
doi https://doi.org/10.52842/conf.caadria.2021.1.361
summary The integration of repurposed material in new construction products generates resiliency strategies that diminish the dependency on raw resources and reduce the CO2 emissions produced by their extraction, transportation, and manufacturing. This research emphasizes the need to expand preliminary data collation from pre-demolition sites to inform early design decisions. Material (data) Intelligence investigates how the merging of artificial intelligence and data analysis could have a crucial impact on achieving widespread material reuse. The first step consists of automating the process of detecting materials and construction elements from pre-demolition sites through drone photography and computer vision. The second part of the research links the resulting database with a computational design tool that can be integrated into construction software. This paper strengthens the potential of circular material flows in a digital paradigm and exposes the capability for constructing big data sets of reusable materials, digitally available, for sharing and organizing material harvesting.
keywords computer vision; material database; automation; reclaimed material; digitalization
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2021_036
id caadria2021_036
authors Batchelor, David and Schnabel, Marc Aurel
year 2021
title Opportunities and Recommendations for Local Governments Delivering Smart Heritage
source A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 749-758
doi https://doi.org/10.52842/conf.caadria.2021.2.749
summary The expansion of smart computer-led technologies into new disciplines enables local governments to design and manage their cities with novel smart discourses. Smart Heritage, the convergence of the smart city and heritage disciplines, offers local governments means to regulate and steer these issues. However, due to its novelty, currently, no research exists on the opportunities and trajectory of Smart Heritage within local government. Therefore, the here presented paper reports the opportunities and recommendations for Smart Heritage within local government, drawing on interviews with smart city and heritage advisors from three Australian local councils. It finds opportunities for smart computer-led technologies to design unique economic, place-making, and governance experiences in cities and recommendations that normalise the delivery of local governments regulatory duties by these technologies. The findings are significant for leading smart technologies further into the practical-political framework of local government and diversifying smart cities scope while at the same time combining two separated policies.
keywords Smart Heritage; Heritage; Smart City
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2021_005
id caadria2021_005
authors Bedarf, Patrick, Martinez Schulte, Dinorah, Şenol, Ayça, Jeoffroy, Etienne and Dillenburger, Benjamin
year 2021
title Robotic 3D Printing of Mineral Foam for a Lightweight Composite Facade Shading Panel
source A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 603-612
doi https://doi.org/10.52842/conf.caadria.2021.1.603
summary This paper presents the design and fabrication of a lightweight composite facade shading panel using 3D printing (3DP) of mineral foams. Albeit their important role in industrial construction practice as insulators and lightweight materials, only little research has been conducted to use foams in 3DP. However, the recent development of highly porous mineral foams that are very suitable for extrusion printing opens a new chapter for development of geometrically complex lightweight building components with efficient formwork-free additive manufacturing processes. The work documented in this paper was based on preliminary material and fabrication development of a larger research endeavor and systematically explored designs for small interlocking foam modules. Furthermore, the robotic 3D Printing setup and subsequent processing parameters were tested in detail. Through extensive prototyping, the design space of a final demonstrator shading panel was mapped and refined. The design and fabrication process is documented and shows the potential of the novel material system in combination with fiber-reinforced ultra-high performance concrete (UHPC). The resulting composite shading panel highlights the benefits of using mineral foam 3DP to fabricate freeform stay-in-place formwork for lightweight facade applications. Furthermore, this paper discusses the challenges and limitations encountered during the project and gives a conclusive outlook for future research.
keywords robotic 3d-printing; mineral foam; lightweight construction; concrete formwork; facade shading panel
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2021_447
id caadria2021_447
authors Belek Fialho Teixeira, Muge, Pham, Kieu, Caldwell, Glenda, Seevinck, Jennifer, Swann, Levi, Rittenbruch, Markus, Kelly, Nick, Santo, Yasuhiro, Garcia-Hansen, Veronica and Voltz, Kirsty
year 2021
title A User-Centred Focus on Augmented Reality and Virtual Reality in AEC: Opportunities and Barriers Identified by Industry Professionals - OPPORTUNITIES AND BARRIERS IDENTIFIED BY INDUSTRY PROFESSIONALS
source A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 273-283
doi https://doi.org/10.52842/conf.caadria.2021.2.273
summary This paper presents insights into the opportunities and barriers for using augmented reality (AR) and virtual reality (VR) in the architecture, engineering and construction (AEC) industry by contextualising how their adoption is leveraged in practices. Based on a review of literature, a qualitative study using semi-structured interviews was conducted with thirteen participants from AEC industries between five and thirty years of experience. Interviews were conducted face-to-face and virtually using questions focusing on participants experiences, perceptions of, and opinions about the use of AR/VR in AEC practice. Qualitative dissemination of key insights highlighted immediate and future possibilities for AR/VR, with current limitations that require future investigation from a user-centred perspective. Suggesting a XR-PACT framework, this paper frames key directions for future research to address current limitations and explore new opportunities that positively impact architecture and other professions, communities of building users.
keywords Augmented Reality; Virtual Reality; AEC; User Experience; Technology Adoption
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2021_329
id caadria2021_329
authors Breseghello, Luca, Sanin, Sandro and Naboni, Roberto
year 2021
title Toolpath Simulation,Design and Manipulation in Robotic 3D Concrete Printing
source A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 623-632
doi https://doi.org/10.52842/conf.caadria.2021.1.623
summary Digital fabrication is blurring the boundaries between design, manufacturing and material effects. More and more experimental design processes involve an intertwined investigation of these aspects, especially when it comes to additive techniques such as 3D Concrete Printing (3DCP). Conventional digital tools present limitations in the description of an object, which neglects material, textural, and machinic information. In this paper, we exploit the control of extrusion-based 3D printing via programmed layered toolpath as a design method for enhancing the control of the manufactured architectural elements. The paper presents an experimental framework for design, analysis and fabrication with 3DCP, developing a system for materializing interdependencies between geometry, material, performance. This is applied to a series of architectural artefacts which demonstrate the advantages and possibilities opened by the introduced workflow, expanding the design process towards higher control on the objects buildability, structural integrity and aesthetic. manufacturing and material effects. More and more experimental design processes involve an intertwined investigation of these aspects, especially when it comes to additive techniques such as 3D Concrete Printing (3DCP). Conventional digital tools present limitations in the description of an object, which neglects material, textural, and machinic information. In this paper, we exploit the control of extrusion-based 3D printing via programmed layered toolpath as a design method for enhancing the control of the manufactured architectural elements. The paper presents an experimental framework for design, analysis and fabrication with 3DCP, developing a system for materializing interdependencies between geometry, material, performance. This is applied to a series of architectural artefacts which demonstrate the advantages and possibilities opened by the introduced workflow, expanding the design process towards higher control on the objects buildability, structural integrity and aesthetic."
keywords 3D Concrete Printing; Robotic Fabrication; Additive Manufacturing; Toolpath Simulation; Toolpath Manipulation
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2021_146
id caadria2021_146
authors Calixto, Victor, Canuto, Robson, Noronha, Marcela, Afrooz, Aida, Gu, Ning and Celani, Gabriela
year 2021
title A layered approach for the data-driven design of smart cities
source A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 739-748
doi https://doi.org/10.52842/conf.caadria.2021.2.739
summary Current approaches to smart cities have focused on implementing technologies to harvest and analyse data through sensors and artificial intelligence to improve urban performance from the top-down. However, cities are complex systems of interconnected layers that change at different speeds. More persistent layers, like networks and occupation, must have smartness embedded in them through smarter design processes. In recent years, there has been an increase in digital tools for urban design, applying computational design methods and data analytics strategies, enabling collaborative and evidence-based approaches that support sustainable urban design. A critical evaluation of their potential to inform design is necessary to aid practitioners to choose and adopt these novel strategies and tools in practice. This paper presents a critical review of selected data-driven design cloud platforms, focusing on data-driven urban design approaches that can enable the use of ICTs to steer cities into a smarter future from the bottom-up.
keywords Smart Cities; Data-Driven Urban Design; Computational Design
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2021_225
id caadria2021_225
authors Cao, Shuqi and Ji, Guohua
year 2021
title Automatically generating layouts of large-scale office park using position-based dynamics
source A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 21-30
doi https://doi.org/10.52842/conf.caadria.2021.1.021
summary In this paper we propose an automatic layout algorithm using PBD (Position-Based Dynamic) for large-scale office park planning. Typically, the organization of buildings into a layout is a labor-intensive problem, and takes up most of designers working time. Unlike Evolutionary Algorithms who has high computational cost, and GAN (Generative Adversarial Networks) whose constraints are not explicit, PBD can handle complex geometric constraints fast enough to be used in interactive environments. The high efficiency will not only accelerate the design iteration from draft to drawings, but also provide precious feasible sample for performance optimization. Furthermore, PBD is intuitive and flexible to be implemented which makes it a potential technique to be used in real design workflow.
keywords Generative Design; Automated Layout Generation; Position-Based Dynamics; Real-time Design Tool; Exploratory Design
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2021_147
id caadria2021_147
authors Cao, Yu, Kahlon, Yuval and Fujii, Haruyuki
year 2021
title Capturing Interpretation Sources in Architectural Design by Observing Sequences of Design Acts
source A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 141-150
doi https://doi.org/10.52842/conf.caadria.2021.2.141
summary Prototyping is important for design exploration. While various computer-aided conceptual design systems (CACD) aim to support this practice, they are somewhat limited in their ability to suggest interpretations in-context. To improve these systems, we need a better understanding of how designers interpret things when designing, and what factors influence this activity. We observe architectural designers' design process, and conducted a deep analysis of the activity at several levels, to capture interpretative events. The analysis of these reveals interesting patterns of design interpretation, which may be used to enhance future CACD systems.
keywords Design process; Design computing; Reinterpretation
series CAADRIA
email
last changed 2022/06/07 07:54

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