Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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Reformat results as: short short into frame detailed detailed into frame

_id	caadria2019_660
id	caadria2019_660
authors	Aghaei Meibodi, Mania, Giesecke, Rena and Dillenburger, Benjamin
year	2019
title	3D Printing Sand Molds for Casting Bespoke Metal Connections - Digital Metal: Additive Manufacturing for Cast Metal Joints in Architecture
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 133-142
doi	https://doi.org/10.52842/conf.caadria.2019.1.133
summary	Metal joints play a relevant role in space frame constructions, being responsible for large amount of the overall material and fabrication cost. Space frames which are constructed with standardized metal joints are constrained to repetitive structures and topologies. For customized space frames, the fabrication of individual metal joints still remains a challenge. Traditional fabrication methods such as sand casting are labour intensive, while direct 3D metal printing is too expensive and slow for the large volumes needed in architecture.This research investigates the use of Binder Jetting technology to 3D print sand molds for casting bespoke metal joints in architecture. Using this approach, a large number of custom metal joints can be fabricated economically in short time. By automating the generation of the joint geometry and the corresponding mold system, an efficient digital process chain from design to fabrication is established. Several design studies for cast metal joints are presented. The approach is successfully tested on the example of a full scale space frame structure incorporating almost two hundred custom aluminum joints.
keywords	3D printing; binder jetting; sand casting; metal joints; metal casting; space frame; digital fabrication; computational design; lightweight; customization
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2019_259
id	caadria2019_259
authors	Soltani, Sahar, Gu, Ning, Ochoa Paniagua, Jorge, Sivam, Alpana and McGinley, Tim
year	2019
title	A Computational Approach to Measuring Social Impact of Urban Density through Mixed Methods Using Spatial Analysis
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 321-330
doi	https://doi.org/10.52842/conf.caadria.2019.1.321
summary	While there is a growing interest in using spatial network analysis methods such as Space Syntax to explore the socio-spatial aspects of the built form, some scholars refer to its main limitation of missing the measurements of buildings' fabric and density. Furthermore, new approaches that attempt to address these shortcomings, such as Urban Network Analysis toolbox, do not provide as comprehensive explorations as what Space Syntax does for the street network. Therefore, this paper proposes that a mixed-method applying both the tools in a complementary way enables a deeper understanding of the socio-spatial design metrics addressing density. Employing both tools on two cases of low and high-density neighbourhoods, the results demonstrate that the combination of these tools can minimise the shortcomings of each method individually, and lead to a more comprehensive understanding of socio-spatial design factors in relation with density.
keywords	Urban Network Analysis ; Social Impact; Space Syntax ; UNA Toolbox; Urban Density
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2019_551
id	caadria2019_551
authors	Zheliazkova, Maia, Kummamuru, Bhargava Ram and Paoletti, Ingrid
year	2019
title	A Computational Workflow for Understanding Acoustic Performance in Existing Buildings
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 443-452
doi	https://doi.org/10.52842/conf.caadria.2019.1.443
summary	Designing the acoustic conditions of the built environment we live in is fundamental to improving our daily life. However, architects and designers still know very little about the way buildings perform in terms of sound. In order to facilitate the comprehension, and therefore the design of acoustic solutions, it is here proposed a methodology for the investigation of existing architectural spaces. The paper discusses a low-cost setup and computational methodology to create an advanced mapping of spaces with the goal of supporting custom design solutions. A case study is used to apply and compare the sensitivity of the proposed approach with professional equipment. The results show that portable systems can be a viable way to understand how our spaces perform in terms of sound, and encourage the diffusion of performance-driven acoustics design.
keywords	Performance-based design; User-space interaction; Architectural acoustics; Sound measurements and sensing
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	artificial_intellicence2019_15
id	artificial_intellicence2019_15
authors	Antoine Picon
year	2020
title	What About Humans? Artificial Intelligence in Architecture
source	Architectural Intelligence Selected Papers from the 1st International Conference on Computational Design and Robotic Fabrication (CDRF 2019)
doi	https://doi.org/https://doi.org/10.1007/978-981-15-6568-7_2
summary	Artificial intelligence is about to reshape the architectural discipline. After discussing the relations between artificial intelligence and the broader question of automation in architecture, this article focuses on the future of the interaction between humans and intelligent machines. The way machines will understand architecture may be very different from the reading of humans. Since the Renaissance, the architectural discipline has defined itself as a conversation between different stakeholders, the designer, but also the clients and the artisans in charge of the realization of projects. How can this conversation be adapted to the rise of intelligent machines? Such a question is not only a matter of design effectiveness. It is inseparable from expressive and artistic issues. Just like the fascination of modernist architecture for industrialization was intimately linked to the quest for a new poetics of the discipline, our contemporary interest for artificial intelligence has to do with questions regarding the creative core of the architectural discipline.
series	Architectural Intelligence
email
last changed	2022/09/29 07:28

_id	caadria2019_491
id	caadria2019_491
authors	Cai, Chenyi, Tang, Peng and Li, Biao
year	2019
title	Intelligent Generation of Architectural layout inheriting spatial features of Chinese Garden Based on Prototype and Multi-agent System - A Case Study on Lotus Teahouse in Yixing
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 291-300
doi	https://doi.org/10.52842/conf.caadria.2019.1.291
summary	This study presents an approach for the intelligent generation of architectural layout, in which partial space inherits Chinese garden spatial features. The approach combines spatial prototype analysis and evolutionary optimization process. On one hand, from the perspective of shape grammar, this paper both analyzes and abstracts the spatial prototype that describes the spatial characteristics of Chinese gardens, including the organization system of architecture and landscape, with the spatial sequences along the tourism orientation. On the other hand, taking the design task of Lotus teahouse as an example, a typical spatial prototype is selected to develop the generative intelligent experiment to achieve the architectural layout, in which the spatial prototype is inherited. Through rule-making and parameter adjustment, the spatial prototype will eventually be transformed into a computational model based on the multi-agent system. Hence, the experiment of intelligent generation of architectural layout is carried out under the influence of the function, form and environmental factors; and a three-dimensional conceptual model that inherits the Chinese garden spatial prototype is obtained ultimately.
keywords	Chinese garden; Architectural layout; Spatial prototype; Multi-agent system; Intelligent generation
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2019_241
id	caadria2019_241
authors	Cristie, Verina and Joyce, Sam Condrad
year	2019
title	Capturing Parametric Design Exploration Process - Emperical insights from user activity and design states data
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 491-500
doi	https://doi.org/10.52842/conf.caadria.2019.2.491
summary	Computational design, especially parametric associative modelling tools, have opened a whole new world of possibility in design exploration. However, their now established use poses further questions regarding how they effect design process and ultimately the quality of the outcomes. Answering those questions requires a better understanding of parametric design process through empirical data. In this paper, we extend a method to systematically capture the design process into a structured data of designer's activity and design states. Analysis of design sessions reveal a unique pattern of parametric modelling and exploration strategies produced by each designer. Capability to save design process into structured design states shows potential to improve process.
keywords	Design exploration; Parametric Design; History Recording; Version control; Conceptual Design
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2019_546
id	caadria2019_546
authors	Holzer, Dominik
year	2019
title	Teaching Computational Design and BIM in the Age of (Semi)flipped Classrooms
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 715-724
doi	https://doi.org/10.52842/conf.caadria.2019.2.715
summary	With academic curricula for architectural education increasingly packed with new and expanding fields of inquiry, questions emerge on how to incorporate the ever-growing number of subjects that tackle the use of computational tools for design and delivery. This paper analyses approaches to blended learning under a semi-flipped classroom model where learning content gets divided into complementary in-class and online components. The author describes the epistemological challenges in curating the blended-learning mix and discusses ways to optimise learning outcomes while minimising the effort for custom content-development of training material. Two subjects taught at the author's home institution (one in Computational Design and the other for BIM education) serve as case studies to test the flipped classroom approach and to derive feedback from students about their preferred method of delivery.
keywords	BIM; Flipped-Classroom; Computational Design; Education; Online learning
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	caadria2019_225
id	caadria2019_225
authors	Khoo, Chin Koi and Wee, H. Koon
year	2019
title	PixelGreen - A hybrid green media wall for existing high-rise buildings
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 131-140
doi	https://doi.org/10.52842/conf.caadria.2019.2.131
summary	Vertical farms and gardens are not new in dense urban environments, but few examples further explore the architectural potential and possibilities of the form to apply the same design approach to existing surfaces and walls of buildings. In addition, there is a design opportunity to exploit existing wall surfaces as 'analogue' media screens by using the vertical farm and garden as a medium of representation. In this paper we explore the opportunity for new design possibilities to achieve a hybrid architectural wall system as a reciprocal retrofit for existing building surfaces, integrating a vertical micro-farm and media screen. This architectural opportunity is explored through agile methods and the early design stages of a hybrid green media wall, PixelGreen. PixelGreen will be retrofitted to an existing wall of a high-rise building to convey mediated, graphical, artistic content and provide edible plant micro-farming simultaneously. The physical proof of concept is given through a modular mock-up with a programmed UAV (unmanned aerial vehicle) serving as the 'agent' for constant updating of mediated content, maintenance and a regular farming cycle. The outcome of this approach provides preliminary insight into how to feasibly implement a hybrid green media wall with autonomous robotics and computation technology.
keywords	Green wall; media facade; vertical farm; architectural intervention
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2019_109
id	caadria2019_109
authors	Kim, Jinsung, Song, Jaeyeol and Lee, Jin-Kook
year	2019
title	Approach to Auto-recognition of Design Elements for the Intelligent Management of Interior Pictures
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 785-794
doi	https://doi.org/10.52842/conf.caadria.2019.2.785
summary	This paper explores automated recognition of elements in interior design pictures for an intelligent design reference management system. Precedent design references have a significant role to help architects, designer and even clients in general architecture design process. Pictures are one of the representation that could exactly show a kind of design idea and knowledge. Due to the velocity, variety and volume of reference pictures data with growth of references platform, it is hard and time-consuming to handle the data with current manual way. To solve this problem , this paper depicts a deep learning-based approach to figuring out design elements and recognizing the design feature of them on the interior pictures using faster-RCNN and CNN algorithms. The targets are the residential furniture such as a table and a seating. Through proposed application, input pictures can automatically have tagging data as follows; seating1(type: sofa, seating capacity: two-seaters, design style: classic)
keywords	Interior design picture; Design element; Design feature; Automated recognition; Design Reference management
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2019_256
id	caadria2019_256
authors	Lertsithichai, Surapong
year	2019
title	Augemented Architecture - Interplay between Digital and Physical Environments
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 353-362
doi	https://doi.org/10.52842/conf.caadria.2019.2.353
summary	In an increasingly connected world where computers are everywhere, surrounding us in embedded small portable devices, appliances and inside buildings, implementing these interconnected and embedded computers have now become common practice in the design of smart spaces and intelligent environments of today. Digital information is constantly being collected and distributed by a network of digital devices communicating with users and vice versa. New behaviors and activities that may have not been considered before in the design of architectural building types are now commonly found in public and private spaces throughout the world. In an attempt to explore and experiment with the concept of interplay between digital and physical environments, an option studio was proposed to 4th year architecture students to develop a new type of augmented architecture that corresponds to changes in human social behavior due to digital technologies. Five pilot projects are presented with experiments conducted to question three social activities commonly found in everyday lives using Arduino prototypes installed in real physical locations. The prototypes were then used as a basis for the development of large-scale projects proposed as augmented architecture.
keywords	Human-Computer Interaction; Ubiquitous Computing; Virtual / Augmented Reality; Computational Design Research; IoT for Built Environments
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2019_437
id	caadria2019_437
authors	Liao, Pan, Gu, Ning, Brisbin, Chris, Rofe, Matthew and Soltani, Sahar
year	2019
title	Computationally Mapping Spatial Properties of Chinese Historic Towns using Space Syntax
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 361-370
doi	https://doi.org/10.52842/conf.caadria.2019.1.361
summary	Due to its geographic size and long cultural history of fluctuating borders, China has a large number of historic settlements; each with their own unique geometric, cultural, social, and spatial characteristics. Despite the various studies that have attempted to qualitatively describe the spatial properties of historic towns, there are limited attempts to understand the spatial qualities of these towns through a quantitative approach, such as space syntax. This paper proposes and demonstrates a computational approach based on space syntax to map spatial properties of these towns. Four spatial features are examined and evaluated to capture the spatial patterns of Chinese historic towns: (1) axiality, (2) curvature, (3) intelligibility, and (4) synergy. The approach has been applied to four typical towns in China: Pingyao, Lijiang, Kulangsu, and Wuzhen. This computational approach provides a new way to complement existing qualitative measures of understanding the urban form and use of historic towns, providing a powerful tool to support the development of policy affecting historic town design/planning, heritage conservation, and heritage tourism.
keywords	Chinese historic towns; spatial properties; space syntax
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2019_345
id	caadria2019_345
authors	Marschall, Max and Burry, Jane
year	2019
title	Can the Use of Stochastic Models of Occupants' Environmental Control Behavior Influence Architectural Design Outcomes? - How field data can influence design outcomes
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 715-724
doi	https://doi.org/10.52842/conf.caadria.2019.1.715
summary	Thermal comfort research has shown that natural ventilation can reduce energy consumption while increasing comfort. However, giving occupants control over their environment introduces uncertainty into building performance which is challenging to emulate using current simulation techniques. Traditionally, window operation is modelled deterministically, for instance by assuming windows to be opened at a predefined temperature. Studies have shown this to be inaccurate, often causing large discrepancies between simulated and actual performance; instead, probabilistic models have emerged based on field study data. The literature on this topic is currently limited to building science and lacks an analysis of how these insights may affect architecture. In a design study, we used evolutionary computation to determine comfort-optimized housing designs for various climates, each time comparing the results of both window operation models. The resulting designs varied considerably; most notably, using the stochastic approach resulted in more shading elements, especially in warmer climates.
keywords	window operation model; stochastic; natural ventilation; thermal comfort; occupant behavior
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	lasg_whitepapers_2019_291
id	lasg_whitepapers_2019_291
authors	Sabin, Jenny
year	2019
title	Lumen
source	Living Architecture Systems Group White Papers 2019 [ISBN 978-1-988366-18-0] Riverside Architectural Press: Toronto, Canada 2019. pp.291 - 318
summary	This paper documents the computational design methods, digital fabrication strategies, and generative design process for [Lumen], winner of MoMA & MoMA PS1’s 2017 Young Architects Program. The project was installed in the courtyard at MoMA PS1 in Long Island City, New York, during the summer of 2017. Two lightweight 3D digitally knitted fabric canopy structures composed of responsive tubular and cellular components employ recycled textiles, photo-luminescent and solar active yarns that absorb and store UV energy, change color, and emit light. This environment offers spaces of respite, exchange, and engagement as a 150 x 75-foot misting system responds to visitors’ proximity, activating fabric stalactites that produce a refreshing micro-climate. Families of robotically prototyped and woven recycled spool chairs provide seating throughout the courtyard. The canopies are digitally fabricated with over 1,000,000 yards of high tech responsive yarn and are supported by three 40+ foot tensegrity towers and the surrounding matrix of courtyard walls. Material responses to sunlight as well as physical participation are integral parts of our exploratory approach to the 2017 YAP brief. The project is mathematically generated through form-finding simulations informed by the sun, site, materials, program, and the material morphology of knitted cellular components. Resisting a biomimetic approach, [Lumen] employs an analogic design process where complex material behavior and processes are integrated with personal engagement and diverse programs. The comprehensive installation was designed by Jenny Sabin Studio and fabricated by Shima Seiki WHOLEGARMENT, Jacobsson Carruthers, and Dazian with structural engineering by Arup and lighting by Focus Lighting.
keywords	living architecture systems group, organicism, intelligent systems, design methods, engineering and art, new media art, interactive art, dissipative systems, technology, cognition, responsiveness, biomaterials, artificial natures, 4DSOUND, materials, virtual projections,
email
last changed	2019/07/29 14:02

_id	caadria2019_646
id	caadria2019_646
authors	van Ameijde, Jeroen
year	2019
title	Non-Standard Housing - Exploring Generative Design Strategies for Differentiated Residential Projects
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 241-250
doi	https://doi.org/10.52842/conf.caadria.2019.2.241
summary	This paper presents arguments and experiences around generative design applied to housing, combining the potential of computational tools with an agenda to increase internal differentiation. It argues for a more varied and mixed approach to the clustering of apartment types and building typologies to increase the social diversity within projects and in relation to this, the sustainability and resilience of urban environments towards future societal changes. Through the discussion of two residential projects operating at different scales, it is shown how carefully calibrated complexity can be introduced in the design process, communicating with clients and collaborators and keeping the complexity of the workflow minimised. It is argued that this avenue of work points to significant opportunities to rethink how computational architectural and urban design processes can be linked to social sciences and a more human-centred approach within the understanding of performance of the built environment.
keywords	Generative Design Methodologies; Urban Planning and Design; Housing; Generative Architectural Design
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	caadria2019_100
id	caadria2019_100
authors	Xu, Jianan and Li, Biao
year	2019
title	Searching on Residential Architecture Design based on Integer Programming
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 263-270
doi	https://doi.org/10.52842/conf.caadria.2019.1.263
summary	This paper describes an approach to using integer programming algorithms for computer-aided architecture design, taking residential buildings as an example. The research realized the dense arrangement of multiple shape templates in a certain domain of orthogonal grids. In addition, combined with the topological relationship of building functions, a single-story residential building layout is generated. The architectural design problems at different levels are solved by changing the objective function and restrictions in the integer programming algorithm. The algorithm can be expanded and employed to other fields of architecture, and may provide new architectural methodologies.
keywords	Generative Design; Architectural layout planning; Integer Programming; Topology
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	acadia19_596
id	acadia19_596
authors	Anton, Ana; Yoo, Angela; Bedarf, Patrick; Reiter, Lex; Wangler, Timothy; Dillenburger, Benjamin
year	2019
title	Vertical Modulations
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 596-605
doi	https://doi.org/10.52842/conf.acadia.2019.596
summary	The context of digital fabrication allows architects to reinvestigate material, process and the design decisions they entail to explore novel expression in architecture. This demands a new approach to design thinking, as well as the relevant tools to couple the form of artefacts with the process in which they are made. This paper presents a customised computational design tool developed for exploring the novel design space of Concrete Extrusion 3D Printing (CE3DP), enabling a reinterpretation of the concrete column building typology. This tool allows the designer to access generative engines such as trigonometric functions and mesh subdivision through an intuitive graphical user interface. Balancing process efficiency as understood by our industry with a strong design focus, we aim to articulate the unique architectural qualities inherent to CE3DP, energising much needed innovation in concrete technology.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:54

_id	cf2019_014
id	cf2019_014
authors	Ferrando, Cecilia; Niccolo Dalmasso, Jiawei Mai, Daniel Cardoso Llach
year	2019
title	Architectural Distant Reading Using Machine Learning to Identify Typological Traits Across Multiple Buildings
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 114-127
summary	This paper introduces an approach to architectural “distant reading”: the use of computational methods to analyze architectural data in order to derive spatial insights from—and explore new questions concerning—large collections of architectural work. Through a case study comprising a dataset of religious buildings, we show how we may use machine learning techniques to identify typological and functional traits from building plans. We find that spatial structure, rather than local features, is particularly effective in supporting this type of analysis. Further, we speculate on the potential of this computational method to enrich architectural design, research, and criticism by, for example, enabling new ways of thinking about architectural concepts such as typology in ways that reflect gradual variations, rather than sharp distinctions.
keywords	Architectural Analytics, Machine Learning, Classification, Religious buildings, Space Syntax
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	acadia19_100
id	acadia19_100
authors	Meibodi, Mania Aghae; Kladeftira, Marirena; Kyttas, Thodoris; Dillenburger, Benjamin
year	2019
title	Bespoke Cast Facade
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 100-109
doi	https://doi.org/10.52842/conf.acadia.2019.100
summary	This paper presents a computational design approach and a digital fabrication method for a freeform aluminum facade made of prefabricated bespoke elements. The fabrication of customized metal elements for construction remains a challenge to this day. Traditional fabrication methods, such as sand casting, are labor intensive, while direct metal 3D printing has limitations for architecture where large-scale elements are needed. Our research investigates the use of Binder Jetting technology to 3D print sand molds for casting bespoke facade elements in aluminum. Using this approach, custom facade elements can be economically fabricated in a short time. By automating the generation of mold design for each element, an efficient digital process chain from design to fabrication was established. In search of a computational method to integrate casting constraints into the form generation and the design process, a differential growth algorithm was used. The application of this fabrication method (3D printed sand molds and casting) in architecture is demonstrated via the design and fabrication of a freeform facade-screen. The paper articulates the relationship between the fabrication process and the differential growth algorithm with a parallel process of adaptive design tools and fabrication tests to exhibit future potential of the method for architectural practice.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:58

_id	caadria2019_459
id	caadria2019_459
authors	Behmanesh, Hossein and Brown, AndrÃ© G.P.
year	2019
title	Classification and Review of Software Applications in the Context of Urban Design Processes
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 211-220
doi	https://doi.org/10.52842/conf.caadria.2019.2.211
summary	We have seen increasing expectations from our cities: as we aim to enable them to become smarter, more efficient and more sustainable. Having these goals makes the urban designing process increasingly complex. Undertaking contemporary urban design and analysis requires a rounded and inclusive approach. In the discussion relating to the smart city there has been attention to infrastructure technology solutions. But ways of estimating the success of more comprehensive urban design interventions is also extremely important. In response to these needs, digital urban design simulation and analysis software packages have been developed to help urban designers model and evaluate their designs before they take shape in the real world. We analyse, and reflect on the current aids available, classifying the urban design software packages which were used in the body of knowledge. In addition, more influential urban design software packages have been reviewed to figure out in which stages of the urban design process, they have applied. This review also helpful for software developer to understand which software packages more useful and which ones need to be developed in future.
keywords	Smart city; Urban Design Process; software application; classification
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2019_190
id	caadria2019_190
authors	Chan, Zion and Crolla, Kristof
year	2019
title	Simplifying Doubly Curved Concrete - Post-Digital Expansion of Concrete's Construction Solution Space
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 23-32
doi	https://doi.org/10.52842/conf.caadria.2019.1.023
summary	This action research project develops a novel conceptual method for non-standardised concrete construction component fabrication and tests its validity through a speculative design project. The paper questions the practical, procedural and economic drivers behind the design and construction of geometrically complex concrete architecture. It proposes an alternative, simple and economical fabrication method for doubly curved concrete centred on the robotic manufacturing of casting moulds through 5-axis hotwire foam cutting for the making of doubly-curved fiber-reinforced concrete (FRC) panels. These panels are used as light-weight sacrificial formwork for in-situ concrete casting. The methodology's opportunity space is tested, evaluated and discussed through a conceptual architectural design project proposal that operates as demonstrator. The paper concludes by addressing the advantages of a design-and-build architecture delivery setup, the potential from using computational technology to adapt conventional design and construction procedures and the expanded role within the design and construction process this gives to architects.
keywords	Doubly Curved Concrete; Robotic Manufacture; Post-Digital Architecture; Design and Build; Casting Mould Making
series	CAADRIA
email
last changed	2022/06/07 07:56

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