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	caadria2021_089
id	caadria2021_089
authors	Cristie, Verina, Ibrahim, Nazim and Joyce, Sam Conrad
year	2021
title	Capturing and Evaluating Parametric Design Exploration in a Collaborative Environment - A study case of versioning for parametric design
doi	https://doi.org/10.52842/conf.caadria.2021.2.131
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. 131-140
summary	Although parametric modelling and digital design tools have become ubiquitous in digital design, there is a limited understanding of how designers apply them in their design processes (Yu et al., 2014). This paper looks at the use of GHShot versioning tool developed by the authors (Cristie & Joyce, 2018; 2019) used to capture and track changes and progression of parametric models to understand early-stage design exploration and collaboration empirically. We introduce both development history graph-based metrics (macro-process) and parametric model and geometry change metric (micro-process) as frameworks to explore and understand the captured progression data. These metrics, applied to data collected from three cohorts of classroom collaborative design exercises, exhibited students' distinct modification patterns such as major and complex creation processes or minor parameter explorations. Finally, with the metrics' applicability as an objective language to describe the (collaborative) design process, we recommend using versioning for more data-driven insight into parametric design exploration processes.
keywords	Design exploration; parametric design; history recording; version control; collaborative design
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2021_412
id	caadria2021_412
authors	Estrina, Tatiana, Hui, Vincent and Ma, Lena
year	2021
title	The Digital Design Build - Modes of Experiential Learning in the Pandemic Era
doi	https://doi.org/10.52842/conf.caadria.2021.2.041
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. 41-50
summary	In recent years, academia has deviated from the lecture-based model to a hybridized system of instruction and experiential learning. Experiential learning aids students in understanding collaborative processes in architectural praxis and exposes them to engaging learning opportunities, a critical component of architectural studio education (Nijholt et al. 2013). During the COVID-19 outbreak, students are barred from accessing on-campus facilities. This causes a redevelopment of curricular delivery and disrupts experiential learning which heavily relies on in-person interaction. It is imperative for instructors to retain experiential learning in the transition to virtual instruction. This paper explores experiential learning within virtual platforms for instruction. Through outlining the implementation of technologies, capitalizing on connectivity, and maximizing opportunity for digital problem solving, the authors posit a framework that other educators may adopt. The paper concludes with a case study of a virtual design-build project, and the various techniques implemented in retaining experiential learning during the pandemic.
keywords	Pedagogy; Experiential learning; Social connectivity; Resilience; Disrupted education
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2021_053
id	caadria2021_053
authors	Rhee, Jinmo and Veloso, Pedro
year	2021
title	Generative Design of Urban Fabrics Using Deep Learning
doi	https://doi.org/10.52842/conf.caadria.2021.1.031
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. 31-40
summary	This paper describes the Urban Structure Synthesizer (USS), a research prototype based on deep learning that generates diagrams of morphologically consistent urban fabrics from context-rich urban datasets. This work is part of a larger research on computational analysis of the relationship between urban context and morphology. USS relies on a data collection method that extracts GIS data and converts it to diagrams with context information (Rhee et al., 2019). The resulting dataset with context-rich diagrams is used to train a Wasserstein GAN (WGAN) model, which learns how to synthesize novel urban fabric diagrams with the morphological and contextual qualities present in the dataset. The model is also trained with a random vector in the input, which is later used to enable parametric control and variation for the urban fabric diagram. Finally, the resulting diagrams are translated to 3D geometric entities using computer vision techniques and geometric modeling. The diagrams generated by USS suggest that a learning-based method can be an alternative to methods that rely on experts to build rule sets or parametric models to grasp the morphological qualities of the urban fabric.
keywords	Deep Learning; Urban Fabric; Generative Design; Artificial Intelligence; Urban Morphology
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2021_231
id	caadria2021_231
authors	Wong, Kwan Ki Calvin and van Ameijde, Jeroen
year	2021
title	In-Between Spaces: Data-driven Analysis and Generative Design for Public Housing Estate Layouts
doi	https://doi.org/10.52842/conf.caadria.2021.2.397
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. 397-406
summary	As Hong Kong constructs increasingly high-density, high-rise public housing estates to increase land use efficiency, public in-between spaces are more constrained, which impacts the quality of social relations, movements and daily practices of residents (Shelton et al. 2011; Tang et al. 2019). Current planning practices are focused on the achievement of quantitative performance measures, rather than qualitative design considerations that support residents experiences and community interaction. This paper presents a new methodology that combines urban analysis and generative design for the regeneration of social housing estates, based on the spatial and social qualities of their in-between spaces.
keywords	Social Housing; Public Open Space; Generative Design; Urban Planning
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	caadria2021_124
id	caadria2021_124
authors	Leung, Pok Yin Victor, Apolinarska, Aleksandra Anna, Tanadini, Davide, Gramazio, Fabio and Kohler, Matthias
year	2021
title	Automatic Assembly of Jointed Timber Structure using Distributed Robotic Clamps
doi	https://doi.org/10.52842/conf.caadria.2021.1.583
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. 583-592
summary	This paper presents a novel robotic assembly method for timber structures with integral timber joints, specifically, crossed-half-lap joints. The proposed method uses a set of custom-built, remote-controlled, high-force robotic clamps to operate in collaboration with an industrial robotic arm to overcome challenges of robotic timber joint assembly, such as providing large assembly forces and correcting misalignments. This method enables automatic assembly of non-repetitive and spatially connected timber structures. We developed custom software for modelling, visualization and feasibility-checking for structures compatible with the proposed assembly method. As a proof of concept, we designed and robotically assembled a spatial frame structure (4.8 x 3.0m footprint, 3.4m tall) comprising 40 pieces of 100x100mm profile timber elements.
keywords	Robotic Assembly; Spatial Timber Structure; Wood Joints; Distributed Robots
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2021_396
id	caadria2021_396
authors	Liu, Jie, Wang, Yuechen and Zhu, Ning
year	2021
title	Cycling Virtual Tour - A Remote Online Travel System Based On Interactive Technologies And Its User Experience Evaluation
doi	https://doi.org/10.52842/conf.caadria.2021.2.243
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. 243-252
summary	Virtual reality has been widely adopted into various fields of human life. It is entering the world of tourism to remote places. This paper proposes a brand-new interaction design system for remote online virtual tourism based on bicycle riding behavior and projection mapping technologies. Through the user experience evaluation experiments of this system, the research found that this interactive system can effectively improve the realism and sense of the presence of the virtual environment. It can also enhance the delectation and satisfaction of the virtual tour. At the same time, this system can reduce the simulator syndrome which plays as a common problem in the traditional virtual tour experience.
keywords	interaction design; immersive environment; virtual tour; user experience
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2021_027
id	caadria2021_027
authors	Lu, Ming, Zhou, Yifan, Wang, Xiang and Yuan, Philip F.
year	2021
title	An optimization method for large-scale 3D printing - Generate external axis motion using Fourier series
doi	https://doi.org/10.52842/conf.caadria.2021.1.683
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. 683-692
summary	With the increase in labor costs, more and more robot constructions appear in building construction and spatial structure fabrication. There are many robots working on large-scale objects. When the reach range of the robot cannot meet the requirements, so an external axis is needed. The external axis is usually a linear motion device, which can significantly increase the operating range of the robotic arm. In actual construction, it is also widely used. This article introduces a 3d printing coffee bar project. Because this project is of a large scale and needs to be printed at one time, the XYZ external axis was used in this project to complete the task. Inspired by this project, this article study several methods of optimizing the motion of external axes in large-scale construction. Finally, we chose to use the Fourier series as the most suitable method to optimize the printing path and programed this method as a component of FUROBOT for more convenient use. This article explains the principle of this method in detail. Finally, this article uses a 3D printing example to illustrate the precautions in actual use.
keywords	robotics; motion optimize; Fourier series; 3D printing; external axis
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2021_196
id	caadria2021_196
authors	Lu, Yueheng, Tian, Runjia, Li, Ao, Wang, Xiaoshi and Jose Luis, Garcia del Castillo Lopez
year	2021
title	CubiGraph5K - Organizational Graph Generation for Structured Architectural Floor Plan Dataset
doi	https://doi.org/10.52842/conf.caadria.2021.1.081
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. 81-90
summary	In this paper, a novel synthetic workflow is presented for procedural generation of room relation graphs of floor plans from structured architectural datasets. Different from classical floor plan generation models, which are based on strong heuristics or low-level pixel operations, our method relies on parsing vectorized floor plans to generate their intended organizational graph for further graph-based deep learning. This research work presents the schema for the organizational graphs, describes the generation algorithms, and analyzes its time/space complexity. As a demonstration, a new dataset called CubiGraph5K is presented. This dataset is a collection of graph representations generated by the proposed algorithms, using the floor plans in the popular CubiCasa5K dataset as inputs. The aim of this contribution is to provide a matching dataset that could be used to train neural networks on enhanced floor plan parsing, analysis and generation in future research.
keywords	Graph Theory; Algorithm; Architecture Design Dataset; Organizational Graph
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2021_263
id	caadria2021_263
authors	Song, Jingwen, Wang, Yuetao, Chen, Ping and Zheng, Hao
year	2021
title	Ice stereotomy - A Case Study of Free-Form Ice Shell
doi	https://doi.org/10.52842/conf.caadria.2021.1.311
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. 311-320
summary	The free-form ice shell is the most challenging type in the design and construction of free-form buildings due to the regional and temporary nature of its materials. This paper presents a case study of the integration of design and fabrication of free-form ice shell. Taking the computational design and robotic fabrication of the ice shell as the main object, we discuss that combines the form-finding of the shell structure of graphic static with the tessellation technology of stereotomy, and propose a new method and workflow for the integration of discrete free-form ice shell design and construction. In the end, we built a free-form ice shell consisting of 116 discrete ice blocks. Practice has proved the feasibility of the integrated method of discrete free-form ice shell design and construction in the article.
keywords	Ice shell; Graphic statics; Digital stereotomy; Form-finding; Robotic fabrication
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2021_143
id	caadria2021_143
authors	Song, Yang, Koeck, Richard and Luo, Shan
year	2021
title	AR Digi-Component - AR-assisted,real-time,immersive design and robotic fabrication workflow for parametric architectural structures
doi	https://doi.org/10.52842/conf.caadria.2021.2.253
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. 253-262
summary	This research project, entitled AR Digi-Component, tries to digitalize the traditional architectural components and combines Augmented Reality (AR) technologies to explore new possibilities for architectural design and assembly. AR technology and Digitalize components will help to achieve a real-time immersive design and an AR-assisted robotic fabrication process through the augmented environments. As part of the AR Digi-Component project, we created an experimental design prototype in which designers gestures are being identified in AR real-time immersive design process, and a fabrication prototype in which traditional 2D drawings are being replaced by 3D on-site holographic guidance, followed by an assembly process in which robotic operations are being controlled by humans within an AR simulation to enhance the assembly efficiency and safety. In this paper, we are sharing the preliminary research results of such AR-assisted tests, for which we used a UR10 Robotic arm in combination with Microsoft HoloLens as well as in terms of software Rhino, HAL Robotics, FURobot, PX Simulate, and Fologram plugin in Grasshopper, to demonstrate new kind of applications and workflow of AR technology for real-time, immersive design and robotic fabrication.
keywords	Augmented Reality; immersive design; holographic assembly instruction; robotic fabrication; real-time interaction
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2021_308
id	caadria2021_308
authors	Wang, Dasong and Snooks, Roland
year	2021
title	Intuitive Behavior - The Operation of Reinforcement Learning in Generative Design Processes
doi	https://doi.org/10.52842/conf.caadria.2021.1.101
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. 101-110
summary	The paper posits a novel approach for augmenting existing generative design processes to embed a greater level of design intention and create more sophisticated generative methodologies. The research presented in the paper is part of a speculative research project, Artificial Agency, that explores the operation of Machine Learning (ML) in generative design and robotic fabrication processes. By framing the inherent limitation of contemporary generative design approaches, the paper speculates on a heuristic approach that hybridizes a Reinforcement Learning based top-down evolutionary approach with bottom-up emergent generative processes. This approach is developed through a design experiment that establishes a topological field with intuitive global awareness of pavilion-scale design criteria. Theoretical strategies and technical details are demonstrated in the design experiment in regard to the translation of ML definitions within a generative design context as well as the encoding of design intentions. Critical reflections are offered in regard to the impacts, characteristics, and challenges towards the further development of the approach. The paper attempts to broaden the range and impact of Artificial Intelligence applications in the architectural discipline.
keywords	Machine Learning; Generative Design Process; Multi-Agent Systems; Reinforcement Learning
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	caadria2021_126
id	caadria2021_126
authors	Wang, Sining and Zhao, Xinchen
year	2021
title	Fuzzy Logic in Bending-active Gridshell Design
doi	https://doi.org/10.52842/conf.caadria.2021.1.321
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. 321-330
summary	Performance-based design is encouraging designers to carry out quantitative-oriented research, sometimes indifferent to qualitative matters that concern social, cultural, and even psychological aspects. Design requirements related to humans subjective value and decision-making ought to be properly addressed. This paper begins with the discussion of architectural complexity about its ill-defined design problems. Humans linguistic variables contain the ambiguous yet uncertain value that seemingly unfit for todays precise digital design approaches. Hence, this paper involves the idea of fuzzy logic and its inference system, presents a soft computing method using membership functions to describe qualitative parameters. It then uses MATLAB Fuzzy Logic Toolbox, as an auxiliary design tool apart from Rhinoceros Grasshopper, to grade design options of a bending-active gridshell from an undergraduate design studio.
keywords	Fuzzy logic; digital architecture; linguistic variable; bending-active gridshell
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	caadria2021_016
id	caadria2021_016
authors	Wang, Yujie and Godoy, Marcela
year	2021
title	PNEU-SKIN - A Haptic Social Interface with Inflatable Fabrics
doi	https://doi.org/10.52842/conf.caadria.2021.1.713
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. 713-722
summary	Wearable electronics endow us a great capacity to see clothing as an extension of our body and an interface to interact with our physical and social environment. The fashion industry is experimenting with new tectonics and materiality, however, few projects have explored wearables in the public and social domains and how it can dynamically respond to a wide range of interpersonal distances in social interaction. PNEU-SKIN is a pneumatic wearable that uses critical making as a research strategy to explore interactive and soft interfaces to create soft boundaries between private and public space. This paper proposes an embodied computation agenda and describes the design and prototyping process of a multi-sensory smart skin in response to varying social distance in interpersonal communication. By looking at adaptive behaviors in nature and the way that certain animal species respond to external stimuli by increasing their size and providing multi-sensory responses, PNEU-SKIN looks into how our clothing could become an adaptable skin to redefine interpersonal communication experience within everyday social interaction.
keywords	Pneumatic Wearables; Interpersonal Communication; Embodied Computation; Critical Making ; Sensory Feedback
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	caadria2021_002
id	caadria2021_002
authors	Zhang, Han, Wang, Likai and Ji, Guohua
year	2021
title	The Synergy of building massing and facade - An Evo-Devo approach for performance-based design optimization combining facade design with building massing
doi	https://doi.org/10.52842/conf.caadria.2021.1.451
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. 451-460
summary	One of the problems lies in performance-based architectural design optimization is the separation of building massing design and facade design. The separation of design processes significantly weakens the synergizing of building massing and facades for more progressive performance improvement. In order to overcome this weakness, this paper presents a performance-based design optimization workflow combining facade with building massing design using an Evo-Devo approach. This workflow enables architects to make a rapid design exploration of different façade design schemes incorporating building massing design optimization. For demonstration, a case study is presented to show how this approach can facilitate early-stage architectural design exploration, and how the combination of the two factors can outperform the results produced by separated design processes.
keywords	evolutionary development; building massing; performance-based design optimization; adaptive facade design
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	caadria2021_083
id	caadria2021_083
authors	Zhu, Guanqi, Ou, Ya, Bao, Dingwen and Luo, Dan
year	2021
title	Robotic weaving of customizable FRP formworks for large-scale optimized structure
doi	https://doi.org/10.52842/conf.caadria.2021.1.573
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. 573-582
summary	This research presents a novel method of robotic fabrication for customizable fiber-reinforced polymer (FRP) tubular formworks, which also function as reinforcements for large-scale structural components. This process is achieved by the spatial weaving of FRP fabric driven by a robotic arm, and calibrated with the fast-cure resin which is applied on the fabric and cures during the weaving process so the fabricated structure is self-supporting and the structure is formed in an additive manner. With this method, structural members with changing sections can be customized and fabricated rapidly with off-the-shelf materials, following a system of structural reinforcement that has been widely adopted in the construction industry and promotes new applications of construction robotics.
keywords	robotic fabrication; fiber reinforced polymer; structural topology optimization
series	CAADRIA
email
last changed	2022/06/07 07:57

_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
doi	https://doi.org/10.52842/conf.caadria.2021.2
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.
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_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
doi	https://doi.org/10.52842/conf.caadria.2021.1
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.
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
doi	https://doi.org/10.52842/conf.caadria.2021.1.743
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
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
doi	https://doi.org/10.52842/conf.caadria.2021.2.223
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
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
doi	https://doi.org/10.52842/conf.caadria.2021.2.011
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
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
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last changed	2022/06/07 07:54

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