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_438
id	caadria2021_438
authors	Hofmeyer, Herm, De Goede, Thijs and Boonstra, Sjonnie
year	2021
title	Co-evolutionary Spatial-Structural Building Design Optimisation including Facade Openings
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. 431-440
doi	https://doi.org/10.52842/conf.caadria.2021.1.431
summary	Within co-evolutionary building design simulations, a spatial design can be automatically transformed into a structural design, and its structural performance can lead to modifications of the spatial design, after which a new cycle starts. This paper presents two procedures to include facade openings in these simulations, to allow for future simulations that include lighting. The first procedure reassigns a fixed pattern of facade openings to the spatial design each cycle, whereas the second procedure only assigns a pattern at the start, and modified spaces inherit their openings. For structural peformance, it is concluded that deterministic vertical opening patterns, with a low facade opening ratio, lead to a reduction of the number of stories, and consequently optimise the structural design. Also, it is shown that the first procedure maintains facade opening ratios during simulations, whereas the second procedure leads to decreasing openness, and more unconnected spaces. As such the first procedure is considered for an upcoming project, where spatial-structural-thermal-lighting building optimisation is investigated, including non-rectangular spatial designs.
keywords	Spatial-Structural Optimisation; Co-evolutionary Design; Structural Design; Facade Openings
series	CAADRIA
email
last changed	2022/06/07 07:50

_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

_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
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
doi	https://doi.org/10.52842/conf.caadria.2021.2.131
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_226
id	caadria2021_226
authors	Fang, Yu-Cyuan, Chang, Teng-Wen, Hsiao, Chi-Fu and Chen, Chun-Yen
year	2021
title	Developing a correcting tool for interactive fabrication process
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. 653-662
doi	https://doi.org/10.52842/conf.caadria.2021.1.653
summary	This paper will propose the integration of multi-view stereo and time of flight technologies and components. Through the spatial point cloud sensor, the changes of objects in the space are converted into digital point clouds, which are feedback on the virtual interface. To make the virtual and physical will continuously communicate and feedback in space, which we established a correction tool for the integration of virtual and physical. The agent-based sensor computing method combines the fabrication process of visual sensors and behavior, from virtual object control to fabrication machines. In this tool, users can explain the reasons for design decisions by visualizing process and process-related information. It allows virtual and physical previews and feedback in real time, and finds out the differences between the two and makes real-time corrections. Solved the correction problem of coexistence.
keywords	Digital fabrication; Digital Twin; Co-existing; Design process
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	caadria2021_251
id	caadria2021_251
authors	Ma, Chun Yu and van Ameijde, Jeroen
year	2021
title	Participatory Housing: Discrete Design and Construction Systems for High-Rise Housing in Hong Kong
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. 271-280
doi	https://doi.org/10.52842/conf.caadria.2021.1.271
summary	There has been a recent increase in the exploration of mereological systems, speculating on how digital design, assembly and reconfiguration of digital materials (Gershenfeld, 2015) enables digitally informed physical worlds that change over time. Besides opportunities for construction and design automation, there is a potential to reimagine how multiple stakeholders can participate in the computational decision-making process, using the benefits of the mass customization of logistics (Retsin, 2019). This paper presents a research-by-design project that applies a digital and discrete material system to high-rise housing in Hong Kong. The project has developed an integrated approach to design, construction, and inhabitation, using a system of discrete parts which can be assembled in various apartment configurations, to incorporate varying occupants requirements and facilitate negotiations and changes over time.
keywords	Participatory Design; Generative Design; Adaptable Architecture; High-rise Housing
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2021_333
id	caadria2021_333
authors	Ma, Chun Yu, Chan, Yan Yu Jennifer and Crolla, Kristof
year	2021
title	Expanding Bending-Active Bamboo Gridshell Structures' Design Solution Space Through Hybrid Assembly Systems
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. 331-340
doi	https://doi.org/10.52842/conf.caadria.2021.1.331
summary	This paper discusses the development and testing of a novel design method for the low-tech construction of bending-active bamboo gridshell structures. It expands this typologys current design solution space by combining and building up on two common production methods for light-weight shell structures: 1) the lay-up method, typically used in bamboo architecture in which members are added one at a time, and 2) the flatbed method, in which a prefabricated equidistant flat grid without shear rigidity is propped up and deformed into its final doubly curved shape. The novel methodology expands the systems design solution space by incorporating singularities within the grid topology and by layering multiple separate grids. This allows for spatially radically different building geometries without loss of implementation workflow efficiency. A demonstrator design project, tested through a large-scale prototype model, is described to illustrate the possible spatially engaging architectural design opportunities presented by the novel approach.
keywords	Bending-active structures; Bamboo architecture; Shell structures; Low-tech fabrication; Form finding
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2021_283
id	caadria2021_283
authors	Sanatani, Rohit Priyadarshi, Chatterjee, Shamik Sambit and Manna, Ishita
year	2021
title	Subject-specific Predictive Modelling for Urban Affect Analysis
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. 387-396
doi	https://doi.org/10.52842/conf.caadria.2021.2.387
summary	Recent developments in crowd-sourced data collection and machine intelligence have facilitated data-driven analyses of the affective qualities of urban environments. While past studies have focused on the commonalities of affective experience across multiple subjects, this paper demonstrates an integrated framework for subject-specific affective data collection and predictive modelling. For demonstration, 10 field observers recorded their affective appraisals of various urban environments along the scales of Liveliness, Beauty, Comfort, Safety, Interestingness, Affluence, Stress and Familiarity. Data was collected through a mobile application that also recorded geo-location, date, time of day, a high resolution image of the users field of view, and a short audio clip of ambient sound. Computer vision algorithms were employed for extraction of six key urban features from the images - built score, paved score, auto score, sky score, nature score, and human score. For predictive modelling, K-Nearest Neighbour and Random Forest regression algorithms were trained on the subject-specific datasets of urban features and affective ratings. The algorithms were able to accurately assess the predicted affective qualities of new environments based on the specific individuals affective patterns.
keywords	Urban Affect; Subjective Experience; Predictive Modelling; Affect Analysis
series	CAADRIA
email
last changed	2022/06/07 07:56

_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_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_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

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