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 acadia20_238
id acadia20_238
authors Zhang, Hang
year 2020
title Text-to-Form
doi https://doi.org/10.52842/conf.acadia.2020.1.238
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.
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 acadia16_440
id acadia16_440
authors Clifford, Brandon
year 2016
title The McKnelly Megalith: A Method of Organic Modeling Feedback
doi https://doi.org/10.52842/conf.acadia.2016.440
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. 440-449
summary Megalithic civilizations held tremendous knowledge surrounding the deceivingly simple task of moving heavy objects. Much of this knowledge has been lost to us from the past. This paper mines, extracts, and experiments with this knowledge to test what applications and resonance it holds with contemporary digital practice. As an experiment, a sixteen-foot tall megalith is designed, computed, and constructed to walk horizontally and stand vertically with little effort. Testing this prototype raises many questions about the relationship between form and physics. In addition, it projects practical application of such reciprocity between architectural desires and the computation of an object’s center of mass. This research contributes to ongoing efforts around the integration of physics-based solvers into the design process. It goes beyond the assumption of statics as a solution in order to ask questions about what potentials mass can contribute to the assembly and erecting of architectures to come. It engages a megalithic way of thinking which requires an intimate relationship between designer and center of mass. In doing so, it questions conventional disciplinary notions of stasis and efficiency.
keywords rapid prototyping, design simulation, fabrication, computation, megalith
series ACADIA
type normal paper
email
more admin
last changed 2022/06/07 07:56

_id acadia16_488
id acadia16_488
authors Derme, Tiziano; Mitterberger, Daniela; Di Tanna, Umberto
year 2016
title Growth Based Fabrication Techniques for Bacterial Cellulose: Three-Dimensional Grown Membranes and Scaffolding Design for Biological Polymers
doi https://doi.org/10.52842/conf.acadia.2016.488
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. 488-495
summary Self-assembling manufacturing for natural polymers is still in its infancy, despite the urgent need for alternatives to fuel-based products. Non-fuel based products, specifically bio-polymers, possess exceptional mechanical properties and biodegradability. Bacterial cellulose has proven to be a remarkably versatile bio-polymer, gaining attention in a wide variety of applied scientific applications such as electronics, biomedical devices, and tissue-engineering. In order to introduce bacterial cellulose as a building material, it is important to develop bio-fabrication methodologies linked to material-informed computational modeling and material science. This paper emphasizes the development of three-dimensionally grown bacterial cellulose (BC) membranes for large-scale applications, and introduces new manufacturing technologies that combine the fields of bio-materials science, digital fabrication, and material-informed computational modeling. This paper demonstrates a novel method for bacterial cellulose bio-synthesis as well as in-situ self-assembly fabrication and scaffolding techniques that are able to control three-dimensional shapes and material behavior of BC. Furthermore, it clarifies the factors affecting the bio-synthetic pathway of bacterial cellulose—such as bacteria, environmental conditions, nutrients, and growth medium—by altering the mechanical properties, tensile strength, and thickness of bacterial cellulose. The transformation of the bio-synthesis of bacterial cellulose into BC-based bio-composite leads to the creation of new materials with additional functionality and properties. Potential applications range from small architectural components to large structures, thus linking formation and materialization, and achieving a material with specified ranges and gradient conditions, such as hydrophobic or hydrophilic capacity, graded mechanical properties over time, material responsiveness, and biodegradability.
keywords programmable materials, material agency, biomimetics and biological design
series ACADIA
type paper
email
last changed 2022/06/07 07:55

_id ecaade2017_046
id ecaade2017_046
authors Ezzat, Mohammed
year 2017
title Implementing the General Theory for Finding the Lightest Manmade Structures Using Voronoi and Delaunay
doi https://doi.org/10.52842/conf.ecaade.2017.2.241
source Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 241-250
summary In previous efforts, the foundation of a general theory that searches for finding lightest manmade structures using the Delaunay diagram or its dual the Voronoi diagram was set (Ezzat, 2016). That foundation rests on using a simple and computationally cheap Centroid method. The simple Centroid method is expected to play a crucial role in the more sophisticated general theory. The Centroid method was simply about classifying a cloud of points that represents specific load case/s stresses on any object. That classification keeps changing using mathematical functions until optimal structures are found. The point cloud then is classified into different smaller points' groups; each of these groups was represented by a single positional point that is related to the points' group mean. Those representational points were used to generate the Delaunay or Voronoi diagrams, which are tested structurally to prove or disprove the optimality of the classification. There was not a single optimized classification out of that process but rather a family of them. The point cloud was the input to the centroid structural optimization, and the family of the optimized centroid method is the input to our proposed implementation of the general theory (see Figure 1). The centroid method produced promising optimized structures that performed from five to ten times better than the other tested variations. The centroid method was implemented using the two structural plugins of Millipede and Karmaba, which run under the environment of the Grasshopper plugin. The optimization itself is done using the grasshopper's component of Galapagos.
keywords Agent-based structural optimization; Evolutionary conceptual tree representation; Heuristic structural knowledge acquisition ; Centroid structural classification optimization method
series eCAADe
email
last changed 2022/06/07 07:55

_id acadia16_78
id acadia16_78
authors Parker, Matthew; Taron, Joshua M.
year 2016
title Form-Making in SIFT Imaged Environments
doi https://doi.org/10.52842/conf.acadia.2016.078
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. 78-87
summary Within the contemporary condition, turbulence that confronts architecture is no longer unpredictable weather patterns or wild beasts, but the unintended forces of a constantly connected digital infrastructure that demands constant attention. If, as Mark Wigley puts it, “architecture is always constructed in and against a storm” it is time for architecture to reevaluate its ability to separate us from a new storm-one that situates technology, global connectivity, human, non-human and composite users, and algorithmic architecture itself as new weather systems. Toward this end, this paper explores architecture’s ability to mediate and produce algorithmic turbulence generated through image-based sensing of the built environment. Through a close reading of Le Corbusier’s Urbanisme, we argue that for much of the 20th and the early part of the 21st century, cities have been designed to produce diagrams of smooth and homogenous flows. However, distributed personal technologies produce virtual layers that unevenly map onto the city, resulting in turbulent forces that computational platforms aim to conceal behind a visual narrative of accuracy, cohesion, anticipation, and order. By focusing on SIFT algorithms and their ability to extract n-dimensional vectors from two-dimensional images, this research explores computational workflows that mobilize turbulence towards the production of indeterminate form. These forms demarcate a new kind of challenge for both architecture and the city, whereby a cultural appetite to deploy algorithms that produce a smooth and seamless image of the world comes hand in hand with the turbulent and disruptive autonomy of those very same algorithms. By revisiting Urbanisme, a new set of architectural objectives are established that contextualize SIFTS within an urban agenda.
keywords complex morphology, sift algorithms, architectural representation, sensate systems
series ACADIA
type paper
email
last changed 2022/06/07 07:59

_id caadria2016_713
id caadria2016_713
authors Sato, Yusuke; Tomohiro Fukuda, Nobuyoshi Yabuki, Takashi Michikawa and Ali Motamedi
year 2016
title A Marker-less Augmented Reality System using Image Processing Techniques for Architecture and Urban Environment
doi https://doi.org/10.52842/conf.caadria.2016.713
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. 713-722
summary In this study, Augmented Reality (AR) system is proposed to be used for outdoor renovation and maintenance projects of build- ings. The research proposes an outdoor marker-less AR system that considers the mobility of users and their long relative distance to tar- get buildings where 3D virtual objects should be augmented on. The proposed system uses local feature-based image registration technolo- gy and Structure from Motion (SfM) which reconstructs 3DCG mod- els using photographs from multiple viewpoints. A case study has been performed for a research building renovation scenario at Osaka University. The case study verified the performance of image registra- tion and tracking, and confirmed the applicability of the method.
keywords Architecture and urban environment; Augmented Reality (AR); image registration; Speeded-up Robust Features (SURF); Structure from Motion (SfM)
series CAADRIA
email
last changed 2022/06/07 07:57

_id acadia16_254
id acadia16_254
authors Sharmin, Shahida; Ahlquist, Sean
year 2016
title Knit Architecture: Exploration of Hybrid Textile Composites Through the Activation of Integrated Material Behavior
doi https://doi.org/10.52842/conf.acadia.2016.254
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. 254-259
summary The hybrid system in textile composites refers to the structural logic defined by Heino Engel, which describes a system that integrates multiple structural behaviors to achieve an equilibrium state (Engel 2007). This research explores a material system that can demonstrate a hybrid material behavior defined by the differentiated tensile and bending-active forces in a single, seamless knitted composite material. These behaviors were installed during the materialization phase and activated during the composite formation process. Here, the material formation involves two interdependent processes: 1) development of the knitted textile with integrated tensile and reinforced materials and 2) development of the composite by applying pre-stress and vacuuming the localized area with reinforcements in a consistent resin-based matrix. The flat bed industrial weft knitting machine has been utilized to develop the knitted textile component of the system with a controlled knit structure. This enables us to control the material types, densities, and cross sections with integrated multiple layers/ribs and thus, the performance of the textile at the scale of fiber structure. Both of these aspects were researched in parallel, using physical and computational methods informed and shaped by the potentials and constraints of each other. A series of studies has been utilized to develop small-scale prototypes that depict the potential of the hybrid textile composite as the generator of complex form and bending active structures. Ultimately, it indicates the possibilities of hybrid textile composite materials as self-structuring lightweight components that can perform as highly articulated and differentiated seamless architectural elements that are capable of transforming the perception of light, space, and touch.
keywords form-finding, programmable materials, composite forming processes, embedded responsiveness
series ACADIA
type paper
email
last changed 2022/06/07 07:56

_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
doi https://doi.org/10.52842/conf.caadria.2016.881
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
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 acadia16_326
id acadia16_326
authors Wit, Andrew; Ng, Rashida; Zhang, Cheng; Kim Simon
year 2016
title Composite Systems for Lightweight Architectures: Case studies in large-scale CFRP winding
doi https://doi.org/10.52842/conf.acadia.2016.326
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. 326-331
summary The introduction of lightweight Carbon Fiber Reinforced Polymer (CFRP) based systems into the discipline of architecture and design has created new opportunities for form, fabrication methodologies and material efficiencies that were previously difficult if not impossible to achieve through the utilization of traditional standardized building materials. No longer constrained by predefined material shapes, nominal dimensions, and conventional construction techniques, individual building components or entire structures can now be fabricated from a single continuous material through a means that best accomplishes the desired formal and structural objectives while creating minimal amounts of construction waste and disposable formwork. This paper investigates the design, fabrication and structural potentials of wound, pre-impregnated CFRP composites in architectural-scale applications through the lens of numeric and craft based composite winding implemented in two unique research projects (rolyPOLY + Cloud Magnet). Fitting into the larger research agenda for the CFRP-based robotic housing prototype currently underway in the “One Day House” initiative, these two projects also function as a proof of concept for CFRP monocoque and gridshell based structural systems. Through a rigorous investigation of these case studies, this paper strives to answer several questions about the integration of pre-impregnated CFRP in future full-scale interventions: What form-finding methodologies lend themselves to working with CFRP? What are the advantages and disadvantages of working with pre-impregnated CFRP tow in large-scale applications? What are efficient methods for the placement of CFRP fiber on-site? As well as how scalable is CFRP?
keywords form finding, winding, cfrp, embedded responsiveness
series ACADIA
type paper
email
last changed 2022/06/07 07:57

_id acadia16_196
id acadia16_196
authors Yuan, Philip F.; Chai, Hua; Yan, Chao; Zhou, Jin Jiang
year 2016
title Robotic Fabrication of Structural Performance-based Timber Gridshell in Large-Scale Building Scenario
doi https://doi.org/10.52842/conf.acadia.2016.196
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 196-205
summary This paper investigates the potential of a digital geometry system to integrate structural performance-based design and robotic fabrication in the scenario of building a large-scale non-uniform timber shell. It argues that a synthesis of multi-objective optimization, design and construction phases is required in the realization of timber shell construction in architecture practice in order to fulfill the demands of building regulation. Confronting the structural challenge of the non-uniform shell, a digital geometry system correlates all the three phases by translating geometrical information between them. First, a series of structural simulations and experimentations with different objectives are executed to inform the particular shape and tectonic details of each shell component based on its local condition in the geometrical system. Then, controlled by the geometrical system, a hybrid process of different digital fabrication technologies, including a customized robotic timber mill, is established to enable the manufacture of the heterogeneous shell components. Ultimately, the Timber Structure Enterprise Pavilion as the demonstration and evaluation of this method is fabricated and assembled on site through a notational system to indicate the applicability of this research in practical scenarios.
keywords robotic fabrication, geometrical information modeling, simulation and design optimization, big data
series ACADIA
type paper
email
last changed 2022/06/07 07:57

_id acadia18_404
id acadia18_404
authors Clifford, Brandon; McGee, Wes
year 2018
title Cyclopean Cannibalism. A method for recycling rubble
doi https://doi.org/10.52842/conf.acadia.2018.404
source ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 404-413
summary Each year, the United States discards 375 million tons of concrete construction debris to landfills (U.S. EPA 2016), but this is a new paradigm. Past civilizations cannibalized their constructions to produce new architectures (Hopkins 2005). This paper interrogates one cannibalistic methodology from the past known as cyclopean masonry in order to translate this valuable method into a contemporary digital procedure. The work contextualizes the techniques of this method and situates them into procedural recipes which can be applied in contemporary construction. A full-scale prototype is produced utilizing the described method; demolition debris is gathered, scanned, and processed through an algorithmic workflow. Each rubble unit is then minimally carved by a robotic arm and set to compose a new architecture from discarded rubble debris. The prototype merges ancient construction thinking with digital design and fabrication methodologies. It poses material cannibalism as a means of combating excessive construction waste generation.
keywords full paper, cyclopean, algorithmic, robotic fabrication, stone, shape grammars, computation
series ACADIA
type paper
email
last changed 2022/06/07 07:56

_id ascaad2016_010
id ascaad2016_010
authors Harnomo Fajar I.; Aswin Indraprastha
year 2016
title Computational Weaving Grammar of Traditional Woven Pattern
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. 75-84
summary Weaving technique is one of the indigenous craftsmanship practices that are common in most of ethnic groups in Indonesia. Generally, it uses thin strips of organic material such as bamboo or rattan to make plane of surface that further can be developed into daily utensils or as a traditional architectural building components such as partition wall and floor. The research of weaving grammar as a system and process had been introduced and explored using Shape Grammar theory and principles. Having the potential implementation and to preserve the traditional weaving method, the grammar can be explored as a method of exploration in architectural design by extending the computation method based on the visual embedding of its pattern languages. The aim of the study is to discover the geometrical configuration underlied traditional weaving grammar by reconfiguring and elaborating procedures and further develop generative method using computational approach. We focused on the exploration of single and dual patterns of biaxial types of West Java woven pattern by using shape grammar principles. The result shows computational method is constructed by several rules which are defined as generative procedure. The result advised that traditional woven pattern has similarity according to its ruled-based system of generative algorithm.
series ASCAAD
email
last changed 2017/05/25 13:13

_id sigradi2016_448
id sigradi2016_448
authors Afsari, Kereshmeh; Eastman, Charles M.; Shelden, Dennis R.
year 2016
title Data Transmission Opportunities for Collaborative Cloud-Based Building Information Modeling
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.907-913
summary Collaboration within Building Information Modeling process is mainly based on file transfer while BIM data being exchanged in either vendor specific file formats or neutral format using Industry Foundation Classes (IFC). However, since the Web enables Cloud-based BIM services, it provides an opportunity to exchange data via Web transfer services. Therefore, the main objective of this paper is to investigate what features of Cloud interoperability can assist a network-based BIM data transmission for a collaborative work flow in the Architecture, Construction, and Engineering (AEC) industry. This study indicates that Cloud-BIM interoperability needs to deploy major components such as APIs, data transfer protocols, data formats, and standardization to redefine BIM data flow in the Cloud and to reshape the collaboration process.
keywords BIM; Cloud Computing; Data Transmission; Interoperability; IFC
series SIGRADI
email
last changed 2021/03/28 19:58

_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 ecaade2021_203
id ecaade2021_203
authors Arora, Hardik, Bielski, Jessica, Eisenstadt, Viktor, Langenhan, Christoph, Ziegler, Christoph, Althoff, Klaus-Dieter and Dengel, Andreas
year 2021
title Consistency Checker - An automatic constraint-based evaluator for housing spatial configurations
doi https://doi.org/10.52842/conf.ecaade.2021.2.351
source Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 351-358
summary The gradual rise of artificial intelligence (AI) and its increasing visibility among many research disciplines affected Computer-Aided Architectural Design (CAAD). Architectural deep learning (DL) approaches are being developed and published on a regular basis, such as retrieval (Sharma et al. 2017) or design style manipulation (Newton 2019; Silvestre et al. 2016). However, there seems to be no method to evaluate highly constrained spatial configurations for specific architectural domains (such as housing or office buildings) based on basic architectural principles and everyday practices. This paper introduces an automatic constraint-based consistency checker to evaluate the coherency of semantic spatial configurations of housing construction using a small set of design principles to evaluate our DL approaches. The consistency checker informs about the overall performance of a spatial configuration followed by whether it is open/closed and the constraints it didn't satisfy. This paper deals with the relation of spaces processed as mathematically formalized graphs contrary to existing model checking software like Solibri.
keywords model checking, building information modeling, deep learning, data quality
series eCAADe
email
last changed 2022/06/07 07:54

_id sigradi2016_392
id sigradi2016_392
authors Ascui Fernández, Hernán; Arias Jiménez, Nelson
year 2016
title Mapeo digital a través de la diversificación de peque?os recursos visuales para potenciar la creatividad y la autonomía de los estudiantes de primer a?o en el taller de proyecto [Experiential mapping through simple digital resources to boost creativity and empower freshmen students in the design workshop]
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. 7-13
summary This paper expounds the teaching strategies used to introduce architecture students in the craft of design in the course Taller de Proyecto 1. These strategies are based on experiential mappings constructed from different digital resources allowing constantly confront design with real life, in order to maintain, throughout the process, a sensitive and precise relationship between reality and experience. It concludes that these methodologies strengthen the autonomy of students, developing a valuable reconnection with the way they look and transform the world, validating the premise that the act of design is an innate human act and not necessarily an erudite one.
keywords Experiential mapping; digital resources; teaching of architecture
series SIGRADI
email
last changed 2021/03/28 19:58

_id lasg_whitepapers_2016_168
id lasg_whitepapers_2016_168
authors Asya Ilgun & Phil Ayres
year 2016
title Coupling Distinct Paradigms of Deposition-Based Construction for the Production of Co-occupied Boundaries
source Living Architecture Systems Group White Papers 2016 [ISBN 978-1-988366-10-4 (EPUB)] Riverside Architectural Press 2016: Toronto, Canada pp. 168 - 175
summary Living Architecture Systems Group "White Papers 2016" is a dossier produced for the occasion of the Living Architecture Systems Group launch event and symposium hosted on November 4 and 5 at the Sterling Road Studio in Toronto and the University of Waterloo School of Architecture at Cambridge. The "White Papers 2016" presents research contributions from the LASG partners, forming an overview of the partnership and highlighting oppportunities for future collaborations.
keywords design, dissipative methods, design methods, synthetic cognition, neuroscience, metabolism, STEAM, organicism, field work, responsive systems, space, visualizations, sensors, actuators, signal flows, art and technology, new media art, digital art, emerging technologies, citizen building, bioinspiration, performance, paradigms, artificial nature, virtual design, regenerative design, 4DSOUND, spatial sound, biomanufacturing, eskin, delueze, bees, robotics
last changed 2019/07/29 14:00

_id acadia16_362
id acadia16_362
authors Beesley, Philip; Ilgun, Zeliha, Asya; Bouron, Giselle; Kadish, David; Prosser, Jordan; Gorbet, Rob; Kulic, Dana; Nicholas, Paul; Zwierzycki, Mateusz
year 2016
title Hybrid Sentient Canopy: An implementation and visualization of proprioreceptive curiosity-based machine learning
doi https://doi.org/10.52842/conf.acadia.2016.362
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. 362-371
summary This paper describes the development of a sentient canopy that interacts with human visitors by using its own internal motivation. Modular curiosity-based machine learning behaviour is supported by a highly distributed system of microprocessor hardware integrated within interlinked cellular arrays of sound, light, kinetic actuators and proprioreceptive sensors in a resilient physical scaffolding system. The curiosity-based system involves exploration by employing an expert system composed of archives of information from preceding behaviours, calculating potential behaviours together with locations and applications, executing behaviour and comparing result to prediction. Prototype architectural structures entitled Sentient Canopy and Sentient Chamber developed during 2015 and 2016 were developed to support this interactive behaviour, integrating new communications protocols and firmware, and a hybrid proprioreceptive system that configured new electronics with sound, light, and motion sensing capable of internal machine sensing and externally- oriented sensing for human interaction. Proprioreception was implemented by producing custom electronics serving photoresistors, pitch-sensing microphones, and accelerometers for motion and position, coupled to sound, light and motion-based actuators and additional infrared sensors designed for sensing of human gestures. This configuration provided the machine system with the ability to calculate and detect real-time behaviour and to compare this to models of behaviour predicted within scripted routines. Testbeds located at the Living Architecture Systems Group/Philip Beesley Architect Inc. (LASG/PBAI, Waterloo/Toronto), Centre for Information Technology (CITA, Copenhagen) National Academy of Sciences (NAS) in Washington DC are illustrated.
keywords intedisciplinary/collaborative design, intelligent environments, artificial intelligence, sensate systems
series ACADIA
type paper
email
last changed 2022/06/07 07:54

_id sigradi2016_815
id sigradi2016_815
authors Bernal, Marcelo
year 2016
title From Parametric to Meta Modeling in Design
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.579-583
summary This study introduces the Meta-Modeling process adopted from the Model Based System Engineering field (MBSE) to explore an approach for the generation of design alternatives beyond the restrictions of the Parametric Models that mainly produce geometric variations and have limitations in terms of topological transformations during the exploratory design tasks. The Meta-Model is the model of attributes and relationships among objects of a particular domain. It describes objects and concepts in abstract terms independent from the complexity of the geometric models and provides mapping mechanisms that facilitate the interfacing with parametric parts. The flexibility of these computer-interpretable and human-readable models can contribute to creatively manipulate the design knowledge embedded in parametric models.
keywords Parametric Modeling; Meta-Modeling; Model Based System Engineering; Modeling Languages; Systems Integration
series SIGRADI
email
last changed 2021/03/28 19:58

_id sigradi2016_686
id sigradi2016_686
authors Caldeira, Keila Fernanda Gomes; Pinheiro, Rafael Lemieszek
year 2016
title Cidade Dinâmica: Ferramentas digitais em prol do planejamento urbano [Ferramentas digitais em prol do planejamento urbano]
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.544-549
summary Considering the variety of digital tools available nowadays and the growth of their possible uses in architecture and urbanism,, we propose to study their potential as auxiliary tools in the process of urban design, based on their ability to help understand and take part in complex projects that are currently out of reach, technically or literally, to the general population. This article analyzes the origins and the theoretical framework behind urban planning in the Brazilian contemporary cities, currently based on Euclidean Zoning, and the processes of connecting contributions from participatory process and digital tools into city-planning level decisions. attempting to have a closer look into the questions behind a new proposal of planning, on a non-euclidean way, where the urban parameters could be evaluated and defined individually for each plot, based on a set of parameters that vary gradually and are dynamic in nature.
keywords Euclidean planning; Participatory proccess; Digital tools; Parametric urban planning; Computational urbanism
series SIGRADI
email
last changed 2021/03/28 19:58

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