Cumincad : CUMINCAD Papers : Search Results

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

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_id	ecaadesigradi2019_302
id	ecaadesigradi2019_302
authors	Mrosla, Laura, Koch, Volker and von Both, Petra
year	2019
title	Quo vadis AI in Architecture? - Survey of the current possibilities of AI in the architectural practice
doi	https://doi.org/10.52842/conf.ecaade.2019.2.045
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 45-54
summary	The permeation of various fields by the applications of artificial intelligence (AI) has arrived in the collective consciousness and is increasingly present in the physical world. Current results of AI research in the field of architecture illustrate that already today within every step of the architectural conception and fabrication approaches towards their automation are being made. Even the very human features of motivation and creativity aren't left untouched anymore. This paper discusses, on the basis of different concepts and examples, up to what extent the contemporary possible implementations of AI and their underlying algorithms are able to conquer the architectural profession. Furthermore, it presents a summary of an automation-concept for the whole profession.
keywords	Artificial Neural Networks; Artificial Intelligence; Creativity; Architecture; Automatisation
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:58

_id	sigradi2016_531
id	sigradi2016_531
authors	Mu?oz, Patricia
year	2016
title	La transferencia y las asociaciones colaborativas [Research implementation and collaborative associations]
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.347-351
summary	This paper refers to the relation between morphological research in digital fabrication and its application in two areas: technical aids for patients with FOP: Fibrodysplasia Ossificans Progressiva, and education. These activities have proved to be fruitful for everyone involved. We were able to verify the outcomes of our basic research and new questions were introduced by our partners in each area. We describe the design of two products of self help aids and the introduction of two new contents in industrial design undergraduate courses at the FADU, University of Buenos Aires.
series	SIGRADI
email
last changed	2021/03/28 19:59

_id	ecaade2020_411
id	ecaade2020_411
authors	Muehlbauer, Manuel, Song, Andy and Burry, Jane
year	2020
title	Smart Structures - A Generative Design Framework for Aesthetic Guidance in Structural Node Design - Application of Typogenetic Design for Custom-Optimisation of Structural Nodes
doi	https://doi.org/10.52842/conf.ecaade.2020.1.623
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 623-632
summary	Virtual prototypes enable performance simulation for building components. The presented research extended the application of generative design using virtual prototypes for interactive optimisation of structural nodes. User-interactivity contributed to the geometric definition of design spaces rather than the final geometric outcome, enabling another stage of generative design for the micro-structure of the structural node. In this stage, the micro-structure inside the design space was generated using fixed topology. In contrast to common optimisation strategies, which converge towards a single optimal outcome, the presented design exploration process allowed the regular review of design solutions. User-based selection guided the evolutionary process of design space exploration applying Online Classification. Another guidance mechanism called Shape Comparison introduced an intelligent control system using an inital image input as design reference. In this way, aesthetic guidance enabled the combined evaluation of quantitative and qualitative criteria in the custom-optimisation of structural nodes. Interactive node design extended the potential for shape variation of custom-optimized structural nodes by addressing the geometric definition of design spaces for multi-scalar structural optimisation.
keywords	generative design; evolutionary computation; interactive machine learning; typogenetic design
series	eCAADe
email
last changed	2022/06/07 07:58

_id	cf2017_630
id	cf2017_630
authors	Muehlbauer, Manuel; Song, Andy; Burry, Jane
year	2017
title	Towards Intelligent Control in Generative Design
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 630-647.
summary	This position paper proposes and defines the nature of a framework, which explores ways of integrating control system (CS) with machine intelligence for generative design (GD). This paper elaborates about the implications of and the potential for impact on GD. The framework described in this work can be used as an active tool to drive design processes and support decision making process in early stages of architectural design. This type of system can be either automated in nature or adaptive to regular user input as part of interactive design mechanisms. The module of CS in the framework would allow additional guidance during design and therefore reduce the need of manual input to enable a semi-automated design practice for lengthy generative processes. This study on GD reveals emergent properties of the framework, for example the introduction of intelligent control allows guidance of GD to meet specified performance criteria and intended aesthetic expressions with reduced need for user interaction.
keywords	Semi-Automated Design, Evolutionary Architecture, Generative Design, Architectural Optimisation, Artificial Intelligence
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	ecaade2024_234
id	ecaade2024_234
authors	Mueller, Lisa-Marie; Andriotis, Charalampos; Turrin, Michela
year	2024
title	Using Generative Adversarial Networks to Create 3D Building Geometries
doi	https://doi.org/10.52842/conf.ecaade.2024.1.479
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 479–488
summary	Generative Artificial Intelligence (AI) promises to make a vast impact across disciplines, including transforming the architectural design process by autonomously generating full building geometries. One form of generative deep learning that has been used to create 2D and 3D representations of objects is Generative Adversarial Networks (GANs). Existing literature, however, has limited applications that utilize 3D data for building geometry generation, with previous studies focused on low-scale 3D geometries suitable for objects such as chairs or cars. This paper develops a new GAN architecture to produce high-resolution feasible building geometry. The training dataset used is a selection of 3D models of single-family homes from an existing database, pre-processed for the specific application. State-of-the-art GAN models are initially tested to establish baseline performance and applicability potential. Then, a systematic study is performed to identify the structure and hyperparameters necessary to successfully fit a GAN to this design task. The successful architecture, named 3DBuildingGAN, uses a combination of Wasserstein loss with gradient penalty, leaky rectified linear units for neuron activation in the generator and the critic, and the root mean squared propagation optimizer with a fixed learning rate. The proposed model generates outputs similar in size, shape, and proportion to the training data with minimal noise in the output. Evaluation of memorization properties indicates open research directions, such as incorporating memorization rejection and training on larger data sets. Finally, the study reflects on how AI algorithms can reshape creativity through data-driven design solutions.
keywords	3D Generative Adversarial Networks, Deep Learning, Artificial Intelligence
series	eCAADe
email
last changed	2024/11/17 22:05

_id	ecaade2024_235
id	ecaade2024_235
authors	Mueller, Lisa-Marie; Andriotis, Charalampos; Turrin, Michela
year	2024
title	Data and Parameterization Requirements for 3D Generative Deep Learning Models
doi	https://doi.org/10.52842/conf.ecaade.2024.1.615
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 615–624
summary	It is now within reach to use generative artificial intelligence (AI) to autonomously generate full building geometries. However, existing literature utilizing 3D data has focused to a limited degree on architecture and engineering disciplines. A critical first step to expanding the use of generative deep learning models in generative design research is making training data available. This study investigates 3D building model data characteristics that make it suitable for generative AI applications. Key data set attributes are identified through a systematic review of the object-containing datasets currently used to train state-of-the-art 3D GANs. These requirements are then compared to attributes of existing available building datasets. This comparison shows that publicly available data sets of 3D building models lack essential characteristics for generative deep learning. Features that make these building models inadequate for the task include but are not limited to, their mesh formats, low resolution and levels of detail, and inclusion of irrelevant geometry. To achieve the desired properties in this work, necessary transformations of the data are incorporated into a tailored preprocessing pipeline. The pipeline is applied to an existing dataset that contains 3D models of single-family homes. The transformed dataset is tested within state-of-the-art GAN models to assess training performance and document future data requirements for applying deep generative design to buildings. Our experiments show promise for the impact that architectural datasets can make on deep learning applications within the discipline. It also highlights the need for additional 3D building model data to increase the diversity and robustness of new designs.
keywords	Generative Deep Learning, Data Sets, Generative Adversarial Networks
series	eCAADe
email
last changed	2024/11/17 22:05

_id	ga0105
id	ga0105
authors	Mueller, Robert Emmett
year	2001
title	VISIC: A Scoreable Keyboard Color Music
source	International Conference on Generative Art
summary	This paper describes a system to create a video color music that can be scored like music and played on a standard electronic keyboard. Here called "VISIC" the program generates a great variety of multi-colored visual shapes that are propelled through video space on a computer screenfor a limited length of time. The shapes or lines or planes interact in a systemized manner until they disappear, much like musical tones or chords. A notation convention allows VISIC ideas to be composed, replayed at will, and preserved for future rendition. A VISIC composer can thereforecreate new VISIC for real-time performance and artistic development.
series	other
email
more	http://www.generativeart.com/
last changed	2003/08/07 17:25

_id	acadia20_38
id	acadia20_38
authors	Mueller, Stephen
year	2020
title	Irradiated Shade
doi	https://doi.org/10.52842/conf.acadia.2020.1.038
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. 38-46.
summary	The paper details computational mapping and modeling techniques from an ongoing design research project titled Irradiated Shade, which endeavors to develop and calibrate a computational toolset to uncover, represent, and design for the unseen dangers of ultraviolet radiation, a growing yet underexplored threat to cities, buildings, and the bodies that inhabit them. While increased shade in public spaces has been advocated as a strategy for “mitigation [of] climate change” (Kapelos and Patterson 2014), it is not a panacea to the threat. Even in apparent shade, the body is still exposed to harmful, ambient, or “scattered” UVB radiation. The study region is a binational metroplex, a territory in which significant atmospheric pollution and the effects of climate change (reduced cloud cover and more “still days” of stagnant air) amplify the “scatter” of ultraviolet wavelengths and UV exposure within shade, which exacerbates urban conditions of shade as an “index of inequality” (Bloch 2019) and threatens public health. Exposure to indirect radiation correlates to the amount of sky visible from the position of an observer (Gies and Mackay 2004). The overall size of a shade structure, as well as the design of openings along its sides, can greatly impact the UV protection factor (UPF) (Turnbull and Parisi 2005). Shade, therefore, is more complex than ubiquitous urban and architectural “sun” and “shadow studies” are capable of representing, as such analyses flatten the three-dimensional nature of radiation exposure and are “blind” to the ultraviolet spectrum. “Safe shade” is contingent on the nuances of the surrounding built environment, and designers must be empowered to observe and respond to a wider context than current representational tools allow.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ascaad2009_volker_mueller
id	ascaad2009_volker_mueller
authors	Mueller, Volker
year	2009
title	Conceptual Design Tools: Establishing a framework for specification of concept design tools
source	Digitizing Architecture: Formalization and Content [4th International Conference Proceedings of the Arab Society for Computer Aided Architectural Design (ASCAAD 2009) / ISBN 978-99901-06-77-0], Manama (Kingdom of Bahrain), 11-12 May 2009, pp. 103-120
summary	For considerable time research has been conducted into architectural design activities and the digital tools that support these design activities. Previous research endeavors have focused on specific aspects of digital tools and design processes and have yielded correspondingly focused insights. This effort attempts to build a framework that allows assembling insights from research across the domain of digitally supported facilities design in order to develop a cohesive set of design tool specifications. This design tool specification framework in combination with a review of existing research will allow identification of areas for future investigation to rethink concept tool design.
series	ASCAAD
email
last changed	2009/06/30 08:12

_id	ascaad2014_015
id	ascaad2014_015
authors	Mueller, Volker
year	2014
title	Second Generation Prototype of a Design Performance Optimization Framework
source	Digital Crafting [7th International Conference Proceedings of the Arab Society for Computer Aided Architectural Design (ASCAAD 2014 / ISBN 978-603-90142-5-6], Jeddah (Kingdom of Saudi Arabia), 31 March - 3 April 2014, pp. 199-209
summary	The integration of performance evaluation into the building design process becomes increasingly important in order to respond to demands on contemporary design with respect to the future of our built and natural environments. This paper presents work on the second iteration of an implementation of a design performance optimization framework that attempts to respond to the challenges of integrating analysis and optimization into the design process. Main challenges addressed are speed of feedback through implementation on the cloud, utilizing parallelization of computations and availability of results in the computational context of the model through leveraging the parametric nature of the application; The goal is to enable designers in their decision-making throughout the design process with focus on earlier phases of the design process during which changes can be implemented faster and at much lower costs than in later phases of design or even during construction and occupation.
series	ASCAAD
email
last changed	2016/02/15 13:09

_id	caadria2011_039
id	caadria2011_039
authors	Mueller, Volker and Ivanka Iordanova
year	2011
title	Rethinking concept design tools: High-level requirements for concept design tools
doi	https://doi.org/10.52842/conf.caadria.2011.409
source	Proceedings of the 16th International Conference on Computer Aided Architectural Design Research in Asia / The University of Newcastle, Australia 27-29 April 2011, pp. 409-418
summary	In the architecture, engineering, and construction industry there is increasing recognition that design decisions early in the design process create significant project value with relatively small effort. It seems reasonable to investigate what decision support for designers in early phases should look like and what conclusions can be drawn for digital tools that designers employ in those early project phases. This paper introduces and discusses a cohesive set of concept design tool requirements. It explores connections between theoretical approaches in design cognition, experimental implementations, and recent developments in architectural practice responding to very pragmatic problems. The paper communicates results of academic workshops at the Third and Fourth International Conference on Design Computing and Cognition, DCC’08 and DCC’10, respectively, in the context of this ongoing research. At the end, it proposes a systematised model of a desired software tool thus allowing future research to close critical gaps which have hampered progress in concept design tool development.
keywords	Concept design; requirements; decision support; cognition; software
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	ecaade2013_180
id	ecaade2013_180
authors	Mueller, Volker and Strobbe, Tiemen
year	2013
title	Cloud-Based Design Analysis and Optimization Framework
doi	https://doi.org/10.52842/conf.ecaade.2013.2.185
source	Stouffs, Rudi and Sariyildiz, Sevil (eds.), Computation and Performance – Proceedings of the 31st eCAADe Conference – Volume 2, Faculty of Architecture, Delft University of Technology, Delft, The Netherlands, 18-20 September 2013, pp. 185-194
summary	Integration of analysis into early design phases in support of improved building performance has become increasingly important. It is considered a required response to demands on contemporary building design to meet environmental concerns. The goal is to assist designers in their decision making throughout the design of a building but with growing focus on the earlier phases in design during which design changes consume less effort than similar changes would in later design phases or during construction and occupation.Multi-disciplinary optimization has the potential of providing design teams with information about the potential trade-offs between various goals, some of which may be in conflict with each other. A commonly used class of optimization algorithms is the class of genetic algorithms which mimic the evolutionary process. For effective parallelization of the cascading processes occurring in the application of genetic algorithms in multi-disciplinary optimization we propose a cloud implementation and describe its architecture designed to handle the cascading tasks as efficiently as possible.
wos	WOS:000340643600018
keywords	Cloud computing; design analysis; optimization; generative design; building performance.
series	eCAADe
email
last changed	2022/06/07 07:58

_id	ecaade2009_143
id	ecaade2009_143
authors	Mueller, Volker
year	2009
title	Ontology for Computational Design: Computational Methods versus Cultural Processes
doi	https://doi.org/10.52842/conf.ecaade.2009.441
source	Computation: The New Realm of Architectural Design [27th eCAADe Conference Proceedings / ISBN 978-0-9541183-8-9] Istanbul (Turkey) 16-19 September 2009, pp. 441-448
summary	In the ongoing taxonomy and ontology work in and about the computational design domain varying progress has been made. While in the ontology work oriented towards computational use within the domain a human-based approach appears favored, in the ontology work focused on the research domain the focus seems to be on computational approaches. This paper proposes to extend the human-based approach to the construction of an online research domain ontology in order to utilize inter-human collaboration to capture the fundamentally cultural phenomenon of language or vocabulary and its agreed upon meaning. Online availability would allow referencing for tagging of contents, for example for use in keyword lists, or for computational categorization of collections. Such an effort would add a research community forum for continued discourse about the research domain.
wos	WOS:000334282200053
keywords	Ontology, research domain, semantic web
series	eCAADe
email
last changed	2022/06/07 07:58

_id	cf2009_poster_13
id	cf2009_poster_13
authors	Mueller, Volker
year	2009
title	Concept design tool requirements: Developing a Framework for Concept Design Tool Specifications
source	T. Tidafi and T. Dorta (eds) Joining Languages Cultures and Visions: CAADFutures 2009 CD-Rom
summary	Early design phases generate high project value with relatively little effort. However, digital tools supporting integrated concept design at a high knowledge level are scarce. Research has focused on specific aspects of design tools yielding focused and disjoint insights. An actionable requirements framework will allow assembly of research results into a meaningful, comprehensive concept design tool set and will reveal gaps which will help identify further research opportunities.
keywords	Concept design, digital tools, affordance, building performance
series	CAAD Futures
type	poster
email
last changed	2009/07/08 22:12

_id	ecaadesigradi2019_183
id	ecaadesigradi2019_183
authors	Mughal, Humera and Beirao, Jose
year	2019
title	A Workflow for the Performance Based Design of Naturally Ventilated Tall Buildings Using a Genetic Algorithm (GA)
doi	https://doi.org/10.52842/conf.ecaade.2019.2.645
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 645-654
summary	Optimization of Natural Ventilation process in highrise buildings is one of the most complex and least addressed phenomenon in the field of sustainable architecture. This issue requires urgent consideration to reduce the computation time due to fast growing demand of vertical construction in metropolitan cities. Until recently most highrise buildings have been operated with mechanical systems, causing high energy loads in hot climates and have high carbon footprints. Highrise buildings with natural ventilation and sky gardens can address these problems. This study involves the development of a Genetic Algorithm (GA) addressing the multi objective optimization of natural ventilation in tall buildings incorporated with Sky-Gardens at different levels all connected through a central ventilation shaft. The fitness function for this GA is composed of three scales; temperature reduction due to evapotranspiration of plants of sky-gardens, optimum wind velocity for channelizing air inside the corridors and ventilation shaft, and optimum building configuration. The aim is to find the best solutions for tall buildings constructed in hot climate through the provision of optimized airflow paths suitable for the effectiveness of natural ventilation, within a reasonably short computation time for supporting design processes at early stage.
keywords	Optimization; Natural Ventilation; Tall buildings; Genetic Algorithms
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:59

_id	ecaade2023_68
id	ecaade2023_68
authors	Mugita, Yuki, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2023
title	Future Landscape Visualization by Generating Images Using a Diffusion Model and Instance Segmentation
doi	https://doi.org/10.52842/conf.ecaade.2023.2.549
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 549–558
summary	When designing a new landscape, such as when demolishing buildings and building new ones, visual methods are effective in sharing a common image. It is possible to visualize future landscapes by making sketches and models, but this requires a great deal of skill and effort on the part of the creator. One method for visualizing future landscapes without the need for specialized skills or labor is image generation using deep learning, and a method has been proposed of using deep learning to generate landscape images after demolishing current buildings. However, there are two problems: the inability to remove arbitrary buildings and the inability to generate a landscape after reconstruction. Therefore, this study proposes a future landscape visualization method that integrates instance segmentation and a diffusion model. The proposed method can generate both post-removal images of existing buildings and post-reconstruction images based on text input, without the need for specialized technology or labor. Verification results confirmed that the post-removal image was more than 90% accurate when the building was removed and replaced with the sky. And the post-reconstruction image matched the text content with a best accuracy of more than 90%. This research will contribute to the realization of urban planning in which all project stakeholders, both professionals and the public, can directly participate by visualizing their own design proposals for future landscapes.
keywords	landscape visualization, deep learning, diffusion model, instance segmentation, text input, text-to-image model, inpainting
series	eCAADe
email
last changed	2023/12/10 10:49

_id	sigradi2023_169
id	sigradi2023_169
authors	Mulder, Hugo, Chinh Nguyen, Dominic, Moroz, Aidan and Mcadams, Ryan
year	2023
title	Dynamic Bending of Thin Glass to Control Surface Roughness of Building Facades
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 1725–1736
summary	This paper describes the development of a research prototype for a kinetic transparent facade panel. Previous research has indicated the potential for kinetic facades to modulate airflow around buildings. With the ascent of thin glass and its application as kinetic building component, this project sought to further explore that potential with a transparent design. The project was undertaken as a design and making process, where knowledge is created through the collaborative engagement with the prototype. In its final state, the prototype, which used polycarbonate as a placeholder for thin glass, was used to visually assess the qualities of the transparent panel in motion. The project has led to a working mechanical scheme that creates a visually dramatic effect through distorting reflections. Analysis has shown that airflow can be modulated using this scheme, with possible applications for natural ventilation of buildings.
keywords	Open Track, Kinetic Facade, Thin Glass, Prototyping, Research by Design.
series	SIGraDi
email
last changed	2024/03/08 14:09

_id	sigradi2018_1477
id	sigradi2018_1477
authors	Mulder, Hugo
year	2018
title	Prototyping: A Politics of Memory
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 80-85
summary	This paper presents a view on the architectural prototype as an exteriorisation of human memory. Bernard Stiegler describes the politics of memory involved in the process of hypomnesis, in which memory is stored in technology. Stiegler’s ideas with relation to the prototype were developed while working on a research prototype. Four modes of exteriorisation have been extracted from that process: the use of memory aids, the prototype as stepping stone for thought, the digitisation of fabrication, and the prototype used for communication. This analysis provides a pathway for making expert knowledge available and accessible as a common good.
keywords	Prototype; Exteriorisation; Memory; Hypomnesic milieu
series	SIGRADI
email
last changed	2021/03/28 19:59

_id	caadria2020_086
id	caadria2020_086
authors	Mulder, Hugo
year	2020
title	Villa Girasole - A Filter for Movement in Building Cognition
doi	https://doi.org/10.52842/conf.caadria.2020.2.143
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 143-152
summary	This paper outlines a framework for building cognition that emphasises the role of architectural movement.The framework is relevant for a new type of building that is digitally augmented and autonomous, and that relates to occupants in novel ways. Based on an embodied view of cognition, the framework might serve a complementary approach to integrating building cognition in the overall building design. The significance of architectural movement in this context is unpacked and evaluated in this paper using the Villa Girasole, a historic work of kinetic architecture near Verona in Italy. The villa serves as a filter to investigate movement through three key concepts of the framework: acting out, coupling, and exteriorisation. The paper proposes that architectural movement might enable an interdependency between building, occupant, and environment that is critical for establishing a form of highly specific building cognition.
keywords	Kinetic; Enactive; Building Cognition; Villa Girasole
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	dc94
authors	Mullens, M.A., Armacost, R.L. and Swart, W.W.
year	1995
title	The role of object oriented CAD in a generic simulator for the industrialized housing industry
source	Automation in Construction 4 (1) (1995) pp. 29-43
summary	This paper describes a simulator-based decision support tool for manufacturers of prefabricated homebuilding components. The Generic Industrialized Housing Manufacturing Simulator (GIHMS) serves as an experimental factory, capable of simulating factory performance under various product design, factory design, and operations management scenarios. GIHMS strength lies in its user-friendly, icon-based, point-and-click user interface. The interface allows the user to configure a factory and specify home designs for production without simulation language programming. The heart of the user interface is a specialized object oriented CAD system. This paper describes the GIHMS structure, focusing on the specialized CAD system, and demonstrates its functionality by describing the development of a structural foam panel factory model.
keywords	Generic simulators; Object oriented CAD; Prefabrication; Housing
series	journal paper
more	http://www.elsevier.com/locate/autcon
last changed	2003/06/02 09:38

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