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 acadia19_392
id acadia19_392
authors Steinfeld, Kyle
year 2019
title GAN Loci
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. 392-403
doi https://doi.org/10.52842/conf.acadia.2019.392
summary This project applies techniques in machine learning, specifically generative adversarial networks (or GANs), to produce synthetic images intended to capture the predominant visual properties of urban places. We propose that imaging cities in this manner represents the first computational approach to documenting the Genius Loci of a city (Norberg-Schulz, 1980), which is understood to include those forms, textures, colors, and qualities of light that exemplify a particular urban location and that set it apart from similar places. Presented here are methods for the collection of urban image data, for the necessary processing and formatting of this data, and for the training of two known computational statistical models (StyleGAN (Karras et al., 2018) and Pix2Pix (Isola et al., 2016)) that identify visual patterns distinct to a given site and that reproduce these patterns to generate new images. These methods have been applied to image nine distinct urban contexts across six cities in the US and Europe, the results of which are presented here. While the product of this work is not a tool for the design of cities or building forms, but rather a method for the synthetic imaging of existing places, we nevertheless seek to situate the work in terms of computer-assisted design (CAD). In this regard, the project is demonstrative of a new approach to CAD tools. In contrast with existing tools that seek to capture the explicit intention of their user (Aish, Glynn, Sheil 2017), in applying computational statistical methods to the production of images that speak to the implicit qualities that constitute a place, this project demonstrates the unique advantages offered by such methods in capturing and expressing the tacit.
series ACADIA
type normal paper
email
last changed 2022/06/07 07:56

_id acadia20_238
id acadia20_238
authors Zhang, Hang
year 2020
title Text-to-Form
source ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 238-247.
doi https://doi.org/10.52842/conf.acadia.2020.1.238
summary Traditionally, architects express their thoughts on the design of 3D architectural forms via perspective renderings and standardized 2D drawings. However, as architectural design is always multidimensional and intricate, it is difficult to make others understand the design intention, concrete form, and even spatial layout through simple language descriptions. Benefiting from the fast development of machine learning, especially natural language processing and convolutional neural networks, this paper proposes a Linguistics-based Architectural Form Generative Model (LAFGM) that could be trained to make 3D architectural form predictions based simply on language input. Several related works exist that focus on learning text-to-image generation, while others have taken a further step by generating simple shapes from the descriptions. However, the text parsing and output of these works still remain either at the 2D stage or confined to a single geometry. On the basis of these works, this paper used both Stanford Scene Graph Parser (Sebastian et al. 2015) and graph convolutional networks (Kipf and Welling 2016) to compile the analytic semantic structure for the input texts, then generated the 3D architectural form expressed by the language descriptions, which is also aided by several optimization algorithms. To a certain extent, the training results approached the 3D form intended in the textual description, not only indicating the tremendous potential of LAFGM from linguistic input to 3D architectural form, but also innovating design expression and communication regarding 3D spatial information.
series ACADIA
type paper
email
last changed 2023/10/22 12:06

_id caadria2016_187
id caadria2016_187
authors Cruz, Camilo; Justyna Karakiewicz and Michael Kirley
year 2016
title Towards the implementation of a composite Cellular Automata model for the exploration of design space
source Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 187-196
doi https://doi.org/10.52842/conf.caadria.2016.187
summary In this paper, we introduce a novel composite Cellular Au- tomata (CA) model to explore the space of design for human envi- ronments. Consisting of multiple, regularly spaced, interleaved 1D CA, our model provides a mechanism to evolve flexible spatial units, where the ‘cells’ are not defined as programmatic elements but as ‘form-making’ elements. The efficacy of this approach is evaluated via a standard methodology, typically used in the study of complex adaptive systems. We systematically examine the dynamics of a series of instances of the composite CA by varying initial conditions and transition rules. A measure of entropy is used to validate emergent patterns. Subsequently, we investigate whether the composite CA is capable of generating aggregate spatial units to match specific spatial configurations, using a well-known example as a benchmark. This phase allows us to bring an understanding of the results into the con- text of architectural design.
keywords Cellular automata; generative design; design space
series CAADRIA
email
last changed 2022/06/07 07:56

_id acadia16_318
id acadia16_318
authors Huang, Alvin
year 2016
title From Bones to Bricks: Design the 3D Printed Durotaxis Chair and La Burbuja Lamp
source ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 318-325
doi https://doi.org/10.52842/conf.acadia.2016.318
summary Drawing inspiration from the variable density structures of bones and the self-supported cantilvers of corbelled brick arches, the Durotaxis Chair and the La Burbuja lamp explore a material-based design process by responding to the challenge of designing a 3D print, rather than 3D printing a design. As such, the fabrication method and materiality of 3D printing define the generative design constraints that inform the geometry of each. Both projects are seen as experiments in the design of 3D printed three-dimensional space packing structures that have been designed specifically for the machines by which they are manufactured. The geometry of each project has been carefully calibrated to capitalize on a selection of specific design opportunities enabled by the capabilities and constraints of additive manufacturing. The Durotaxis Chair is a half-scale prototype of a fully 3D printed multi-material rocking chair that is defined by a densely packed, variable density three-dimensional wire mesh that gradates in size, scale, density, color, and rigidity. Inspired by the variable density structure of bones, the design utilizes principal stress analysis, asymptotic stability, and ergonomics to drive the logics of the various gradient conditions. The La Burbuja Lamp is a full scale prototype for a zero-waste fully 3D printed pendant lamp. The geometric articulation of the project is defined by a cellular 3D space packing structure that is constrained to the angles of repose and back-spans required to produce un-supported 3D printing.
keywords parametic design, digital fabrication, structural analysis, additive manufacturing, 3d printing
series ACADIA
type paper
email
last changed 2022/06/07 07:50

_id acadia16_34
id acadia16_34
authors Johnson, Jason S.; Parker, Matthew
year 2016
title Architectural Heat Maps: A Workflow for Synthesizing Data
source ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 34-33
doi https://doi.org/10.52842/conf.acadia.2016.034
summary Over the last 5 years, large-scale ‘data dumps’ of architectural production have been made available online through project-specific websites (mainly competitions) and architectural aggregation/dissemination sites like Architizer, Suckerpunch, and Archinect. This reinforces the broader context of Ubiquitous Simultaneity, in which large amounts of data are continuously updated and easily accessed through a dizzying array of mobile devices. This condition is being exploited by sports leagues and financial speculators through the development of tools that collect, visualize, and analyze historical data for the purpose of producing speculative predictive simulations that could lead to strategies for enhanced performance. We explore the development of a workflow for deploying computer vision, SIFT algorithms, image aggregation, and heteromorphic deformation as a design strategy. These techniques have all been developed separately for various applications and here we combine them in such a way as to allow for the embedding of the historical and speculative artifacts of architectural production into newly formed three-dimensional architectural bodies. This work builds on past research, which resulted in a more two-dimensional image-based mapping and translation process found in existing imaging protocols for projects like Google Earth, and transitions towards the production of data-rich formal assemblies. Outliers and concentrations of visual data are exploited as a means to encourage innovation within the production of architecture.
keywords historical and speculative data, generative design, computer vision, ubiquitous simultaneity, sensate systems
series ACADIA
type paper
email
last changed 2022/06/07 07:52

_id ecaade2016_197
id ecaade2016_197
authors Jovanovic, Marko, Stojakovic, Vesna, Tepavcevic, Bojan, Mitov, Dejan and Bajsanski, Ivana
year 2016
title Generating an Anamorphic Image on a Curved Surface Utilizing Robotic Fabrication Process
source Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 1, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 185-191
doi https://doi.org/10.52842/conf.ecaade.2016.1.185
wos WOS:000402063700021
summary The integration of industrial robots in the creative art industry has increased in recent years. Implementing both brick stacking robotic fabrication, following a curved wall, and generating an image viewed from a single point, by rotating the bricks around their centres, has yet to be studied. The goal of this research is to develop a functional, parametric working model and a workflow that ensure easy manipulation and control of the desired outcome via parameters. This paper shows a workflow for the automatic generation of anamorphic structures on a curved wall by utilizing modular brick-like elements. As a result, a code for the robot controller and the position of the structure during fabrication are provided.
keywords anamorphosis; brick lying; robotic fabrication; generative design
series eCAADe
email
last changed 2022/06/07 07:52

_id acadia20_668
id acadia20_668
authors Pasquero, Claudia; Poletto, Marco
year 2020
title Deep Green
source ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 668-677.
doi https://doi.org/10.52842/conf.acadia.2020.1.668
summary Ubiquitous computing enables us to decipher the biosphere’s anthropogenic dimension, what we call the Urbansphere (Pasquero and Poletto 2020). This machinic perspective unveils a new postanthropocentric reality, where the impact of artificial systems on the natural biosphere is indeed global, but their agency is no longer entirely human. This paper explores a protocol to design the Urbansphere, or what we may call the urbanization of the nonhuman, titled DeepGreen. With the development of DeepGreen, we are testing the potential to bring the interdependence of digital and biological intelligence to the core of architectural and urban design research. This is achieved by developing a new biocomputational design workflow that enables the pairing of what is algorithmically drawn with what is biologically grown (Pasquero and Poletto 2016). In other words, and more in detail, the paper will illustrate how generative adversarial network (GAN) algorithms (Radford, Metz, and Soumith 2015) can be trained to “behave” like a Physarum polycephalum, a unicellular organism endowed with surprising computational abilities and self-organizing behaviors that have made it popular among scientist and engineers alike (Adamatzky 2010) (Fig. 1). The trained GAN_Physarum is deployed as an urban design technique to test the potential of polycephalum intelligence in solving problems of urban remetabolization and in computing scenarios of urban morphogenesis within a nonhuman conceptual framework.
series ACADIA
type paper
email
last changed 2023/10/22 12:06

_id caadria2016_881
id caadria2016_881
authors Silvestre, Joaquim; Yasushi Ikeda and Franc?ois Gue?na
year 2016
title Artificial Imagination of Architecture with Deep Convolutional Neural Network
source Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 881-890
doi https://doi.org/10.52842/conf.caadria.2016.881
summary This paper attempts to determine if an Artificial Intelli- gence system using deep convolutional neural network (ConvNet) will be able to “imagine” architecture. Imagining architecture by means of algorithms can be affiliated to the research field of generative archi- tecture. ConvNet makes it possible to avoid that difficulty by automat- ically extracting and classifying these rules as features from large ex- ample data. Moreover, image-base rendering algorithms can manipu- late those abstract rules encoded in the ConvNet. From these rules and without constructing a prior 3D model, these algorithms can generate perspective of an architectural image. To conclude, establishing shape grammar with this automated system opens prospects for generative architecture with image-base rendering algorithms.
keywords Machine learning; convolutional neural network; generative design; image-based rendering
series CAADRIA
email
last changed 2022/06/07 07:56

_id caadria2016_209
id caadria2016_209
authors Wang, Likai; Zilong Tan and Guohua Ji
year 2016
title Toward the wind-related building performative design
source Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 109-218
doi https://doi.org/10.52842/conf.caadria.2016.109
summary The integration of optimization algorithms and building performance simulation tools make it possible to carry out performa- tive design or performance-driven design, which aims to guide the de- sign synthesis process of the simulation results to continuously im- prove the design. However, the associated research work of wind- related building performance is still deficient, resulting from lack of applicable interface and the time consumption. Meanwhile, in the in- dustrial design realm, the aero-dynamics or fluid-dynamics behaviour of the production under development has been vastly analysed and op- timized based on the multi-discipline optimization (MDO) techniques. Owing to offering numerous built-in interface and integrated optimi- zation algorithm, MDO application software has begun to be used in building optimization design with the complex relationship between various objectives. With the advantage of MDO tools and aimed to provide an efficient optimization approach from the perspective of ar- chitect, this paper proposes a wind-related building performance op- timization design system integrating Rhinoceros and Fluent based on iSIGHT - a MDO application software. In addition, the lighting per- formance is considered in this research as well for implementing the multi-objective optimization. Two case studies of tall building optimi- zation design based on varied generative approaches are introduced to investigate the effect and efficiency of this system.
keywords Performative design; wind-related building performance; MDO; parametric generating design
series CAADRIA
email
last changed 2022/06/07 07:58

_id caadria2024_186
id caadria2024_186
authors Huang, Jingfei and Tu, Han
year 2024
title Inconsistent Affective Reaction: Sentiment of Perception and Opinion in Urban Environments
source Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 2, pp. 395–404
doi https://doi.org/10.52842/conf.caadria.2024.2.395
summary The ascension of social media platforms has transformed our understanding of urban environments, giving rise to nuanced variations in sentiment reaction embedded within human perception and opinion, and challenging existing multidimensional sentiment analysis approaches in urban studies. This study presents novel methodologies for identifying and elucidating sentiment inconsistency, constructing a dataset encompassing 140,750 Baidu and Tencent Street view images to measure perceptions, and 984,024 Weibo social media text posts to measure opinions. A reaction index is developed, integrating object detection and natural language processing techniques to classify sentiment in Beijing Second Ring for 2016 and 2022. Classified sentiment reaction is analysed and visualized using regression analysis, image segmentation, and word frequency based on land-use distribution to discern underlying factors. The perception affective reaction trend map reveals a shift toward more evenly distributed positive sentiment, while the opinion affective reaction trend map shows more extreme changes. Our mismatch map indicates significant disparities between the sentiments of human perception and opinion of urban areas over the years. Changes in sentiment reactions have significant relationships with elements such as dense buildings and pedestrian presence. Our inconsistent maps present perception and opinion sentiments before and after the pandemic and offer potential explanations and directions for environmental management, in formulating strategies for urban renewal.
keywords Urban Sentiment, Affective Reaction, Social Media, Machine Learning, Urban Data, Image Segmentation.
series CAADRIA
email
last changed 2024/11/17 22:05

_id ecaade2016_025
id ecaade2016_025
authors Roman, Miro
year 2016
title Abstract Object in the World of Data - A Play of Books - Symbolicity of Information as Potential for Architectural Articulation
source Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 287-296
doi https://doi.org/10.52842/conf.ecaade.2016.2.287
wos WOS:000402064400028
summary We are beyond representation; our abstract objects are symbolic; figures, fugues, faces, masks, atoms, elements, characters, avatars, indexes. It is about infusing, narrating, doping, context, information and masterful articulations. Concepts become spectrums; they live like the memory or traces of things that have been; they are not documents - they are animate. In this context interest of this paper is to see how can an image of book in the world of data be different than Kevin Lynch's systemic image of the city (Lynch 1960). Lynch has abstracted from the physical city. He is representing cities on the level of text, grammars and structures. What if one takes his exercise seriously and starts to play with text on the level on information, data, lists and indexes? What is an image of a book, its character, mood, how many faces does it have? This is a going to be a drama.
keywords information; text; image; abstract object; generic
series eCAADe
email
last changed 2022/06/07 07:56

_id sigradi2016_465
id sigradi2016_465
authors Santos, Angela Maria dos; Campos, Gisela Belluzzo de
year 2016
title Design Gráfico de Comunicaç?o Visual Urbana como Espaço Instalativo [Graphic Design of Urban Visual Communication as Installative Space]
source SIGraDi 2016 [Proceedings of the 20th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-7051-86-1] Argentina, Buenos Aires 9 - 11 November 2016, pp.620-624
summary The paper analyses the hybridization processes occurred in the graphic design and the visual arts since the digital technologies established in the 1990s, taking as example, a graphic design of visual urban communication located at Line 4 Subway Station in S?o Paulo. In it, the graphic design uses the photographic language to transform a passageway into an installation space, through which users are required to traffic. By means of creating an image and text ambience, the installation performs an unusual and well succeed urban/ visual communication design.
keywords Graphic design; Urban visual communication; Artistic installation; Hybridization
series SIGRADI
email
last changed 2021/03/28 19:59

_id ecaade2016_026
id ecaade2016_026
authors Agkathidis, Asterios
year 2016
title Implementing Biomorphic Design - Design Methods in Undergraduate Architectural Education
source Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 1, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 291-298
doi https://doi.org/10.52842/conf.ecaade.2016.1.291
wos WOS:000402063700033
summary In continuation to Generative Design Methods, this paper investigates the implementation of Biomorphic Design, supported by computational techniques in undergraduate, architectural studio education. After reviewing the main definitions of biomorphism, organicism and biomimicry synoptically, we will assess the application of a modified biomorphic method on a final year, undergraduate design studio, in order to evaluate its potential and its suitability within the framework of a research led design studio, leading to an RIBA accredited Part I degree. Our research findings based on analysis of design outputs, student performance as well as moderators and external examiners reports initiate a constructive debate about accomplishments and failures of a design methodology which still remains alien to many undergraduate curricula.
keywords CAAD Education; Strategies, Shape Form and Geometry; Generative Design; Design Concepts
series eCAADe
email
last changed 2022/06/07 07:54

_id ascaad2016_048
id ascaad2016_048
authors Al Shiekh, Bassam
year 2016
title Arabic Calligraphy and Parametric Architecture - Translation from a calligraphic force to an architectural form
source Parametricism Vs. Materialism: Evolution of Digital Technologies for Development [8th ASCAAD Conference Proceedings ISBN 978-0-9955691-0-2] London (United Kingdom) 7-8 November 2016, pp. 469-482
summary This paper describes an on-going research that unites two distinct and seemingly unrelated interests. One is Arabic calligraphy and the other is parametric architecture. The effort is to integrate these interests and, in doing so, balance cultural issues with technological ones, traditional with contemporary and spiritual with material. Moreover, this paper is inspired by Arabic calligraphy and its influence on Zaha Hadid’s designs; it is invigorated by parametric systems and their capacity as a source of architectural forms. This paper will observe the rising importance of computation technologies to architecture, which has always been a form of negotiation between ‘function and fiction’ and ‘force and form’. The paper proposes a Parametric Calligraphic Machine that simultaneously produces, connects and separates calligraphic surfaces, calligraphic images and calligraphic reality. Therefore, the goal is to examine this hypothesis in order to produce a set of techniques, tools and methods that inform the three-dimensional design process of Arabic calligraphy’s contemporary possibilities by addressing a process description rather than a state description of creating calligraphic images and calligraphic surfaces. The theoretical approach highlights issues pertaining to calligraphy, spatiality, translation, generative systems, parametric design, visual structure, force and form.
series ASCAAD
email
last changed 2017/05/25 13:33

_id ascaad2016_043
id ascaad2016_043
authors Alacam, Sema; Orkan. Z. Güzelci
year 2016
title Computational Interpretations of 2D Muqarnas Projections in 3D Form Finding
source Parametricism Vs. Materialism: Evolution of Digital Technologies for Development [8th ASCAAD Conference Proceedings ISBN 978-0-9955691-0-2] London (United Kingdom) 7-8 November 2016, pp. 421-430
summary In the scope of this study, we developed an algorithm to generate new 3D geometry (interpretation) of a given or generated planar projection of a muqarnas in a digital 3D modelling software (Rhinoceros), its visual scripting environment (VSE) Grasshopper and also the Python programming language. Differing from traditional methods, asymmetrical form alternatives are examined. In other words, 2D projections of muqarnas were only used as an initial geometrical pattern for generative form finding explorations. This study can be considered an attempt to explore new relations, rules and vocabulary through algorithmic form finding experiments derived from 2D muqarnas projections.
series ASCAAD
email
last changed 2017/05/25 13:33

_id ascaad2016_032
id ascaad2016_032
authors Alhadidi, Suleiman; Justin Mclean, Luchlan Sharah, Isabel Chia, Roger Sam
year 2016
title Multiflight - Creating Interactive Stairs through Positive Technology
source Parametricism Vs. Materialism: Evolution of Digital Technologies for Development [8th ASCAAD Conference Proceedings ISBN 978-0-9955691-0-2] London (United Kingdom) 7-8 November 2016, pp. 295-308
summary This paper details a pedagogical project which calls for an improved design performance of the existing built environment through the use of smart technology and data-driven design. The project is an investigation into ways in which to improve the performance of a ‘pre-selected university building’ through the use of a media facade that allows for interactive experiences. Existing problems of the selected building have been identified through observation and research using a rich picture and agile approach. An underutilised staircase was selected as the focus site for a series of computational design and interactive design studies. The brief of this mini-research project aims to encourage more people to use the stairs and create a memorable experience with a technological approach through the application of a site specific interactive media installation. The project is an interactive staircase which utilises LED strips and generative sound. The project features a series of light boxes which are connected to the existing staircase balustrade. Arduino, passive infra-red sensors, and other motion detection sensors were used to allow for light and generative sound interaction with users using visual scripting tools and a generative design platform. Sensing technology was used as a real-time data-gathering device during the site analysis phase as well as an input device for the designed prototype to allow the testing of the data-driven design. This paper details the study and resultant interactive prototypes. It also discusses the exploration of performance based design ideas into design workflows and the integration of sensing tools into the design process. It concludes by identifying possible implications on using the Internet of Things concepts to facilitate the design of interactive architecture.
series ASCAAD
email
last changed 2017/05/25 13:33

_id sigradi2016_450
id sigradi2016_450
authors Araujo, André L.; Celani, Gabriela
year 2016
title Exploring Weaire-Phelan through Cellular Automata: A proposal for a structural variance-producing engine
source SIGraDi 2016 [Proceedings of the 20th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-7051-86-1] Argentina, Buenos Aires 9 - 11 November 2016, pp.710-714
summary Complex forms and structures have always been highly valued in architecture, even much before the development of computers. Many architects and engineers have strived to develop structures that look very complex but at the same time are relatively simple to understand, calculate and build. A good example of this approach is the Beijing National Aquatics Centre design for the 2008 Olympic Games, also known as the Water Cube. This paper presents a proposal for a structural variance-producing engine using cellular automata (CA) techniques to produce complex structures based on Weaire-Phelan geometry. In other words, this research evaluates how generative and parametric design can be integrated with structural performance in order to enhance design flexibility and control in different stages of the design process. The method we propose was built in three groups of procedures: 1) we developed a method to generate several fits for the two Weaire-Phelan polyhedrons using CA computation techniques; 2) through the finite elements method, we codify the structural analysis outcomes to use them as inputs for the CA algorithm; 3) evaluation: we propose a framework to compare how the final outcomes deviate for the good solutions in terms of structural performance and rationalization of components. We are interested in knowing how the combination of the procedures could contribute to produce complex structures that are at the same time certain rational. The system developed allows the structural analysis of structured automatically generated by a generative system. However, some efficient solutions from the structural performance point of view do not necessarily represent a rational solution from the feasibility aspects.
keywords Structural design; Complex structures; Bottom-up design approach
series SIGRADI
email
last changed 2021/03/28 19:58

_id ascaad2016_008
id ascaad2016_008
authors Armstrong, Logan; Guy Gardner and Christina James
year 2016
title Evolutionary Solar Architecture - Generative Solar Design Through Soft Forms and Rigid Logics
source Parametricism Vs. Materialism: Evolution of Digital Technologies for Development [8th ASCAAD Conference Proceedings ISBN 978-0-9955691-0-2] London (United Kingdom) 7-8 November 2016, pp. 55-64
summary This paper describes the development of a workflow for the production of a net zero off-grid research cabin.  The workflow deploys a number of affiliated parametric software packages as a form finding tool for the exterior envelope of this structure, with a focus on passive solar design as a generative formal driver. The design was required to incorporate the spatial and programmatic needs of the users in a compact, barrier free, net zero building. Simultaneously, the research question asked the designers to harness the potential of digital design in the consideration of future fabrication techniques, in order to optimize the building’s performance and the speed and quality of assembly once the project moves into construction. Parameters considered include solar exposure, external surface area, cost, fabrication, functionality, and aesthetic criteria. This project was developed by a multidisciplinary team of graduate students at the University of Calgary.
series ASCAAD
email
last changed 2017/05/25 13:13

_id acadia16_432
id acadia16_432
authors Beaman, Michael Leighton
year 2016
title Landscapes After The Bifurcation of Nature: Models for Speculative Landformations
source ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 432-439
doi https://doi.org/10.52842/conf.acadia.2016.432
summary Landformations have not historically been the purview of design production or intervention. Whether it is the spatial extensions in which they emerge, the temporal extensions in which they operate, the complexities of their generative and sustaining processes, or a cultural and institutional deference to a notion of natural processes, designers as individuals or design as a discipline has not treated landformation as an area of design inquiry. But the inability to grasp nature fully has not stopped geological-scale manipulation by humans. In fact, anthropogenic activity is responsible for the re-formation of more of the Earth’s surface than all other agents combined. And yet as designers we often disregard this transformation as a design problem, precisely because it eludes the artifices of information visualization employed by designers. This paper examines ongoing research into the generation of speculative landformations through an analysis of underlying geological and anthropogenic processes as the quantitative basis for creating generative computational models (figure 1). The Speculative Landformations Project posits human geological-scale activity as a design problem by expanding the operability and agency of environmental design practice through hybrid human/digital computations.
keywords design decision-making, simulation and design optimization, responsive urban and landscape systems, big data
series ACADIA
type paper
email
last changed 2022/06/07 07:54

_id ecaade2016_199
id ecaade2016_199
authors Caetano, In?s and Leit?o, António
year 2016
title Using Processing with Architectural 3D Modelling
source Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 1, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 405-412
doi https://doi.org/10.52842/conf.ecaade.2016.1.405
wos WOS:000402063700045
summary Although programming was considered a specialized task in the past, we have been witnessing an increasing use of algorithms in the architectural field, which has opened up a wide range of new design possibilities. This was possible in part due to programming languages that were designed to be easy to learn and use by designers and architects, such as Processing. Processing is widely used for academic purposes, whereas in the architectural practice it is not as used as other programming languages due to its limitations for 3D modeling. In this paper, we describe the use of an extended Processing implementation to generate three 3D models inspired in existing case studies, which can be visualized and edited in different CAD and BIM applications.
keywords Generative design; Programming; Processing; 3D modeling
series eCAADe
email
last changed 2022/06/07 07:54

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