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	acadia20_688
id	acadia20_688
authors	del Campo, Matias; Carlson, Alexandra; Manninger, Sandra
year	2020
title	3D Graph Convolutional Neural Networks in Architecture Design
doi	https://doi.org/10.52842/conf.acadia.2020.1.688
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. 688-696.
summary	The nature of the architectural design process can be described along the lines of the following representational devices: the plan and the model. Plans can be considered one of the oldest methods to represent spatial and aesthetic information in an abstract, 2D space. However, to be used in the design process of 3D architectural solutions, these representations are inherently limited by the loss of rich information that occurs when compressing the three-dimensional world into a two-dimensional representation. During the first Digital Turn (Carpo 2013), the sheer amount and availability of models increased dramatically, as it became viable to create vast amounts of model variations to explore project alternatives among a much larger range of different physical and creative dimensions. 3D models show how the design object appears in real life, and can include a wider array of object information that is more easily understandable by nonexperts, as exemplified in techniques such as building information modeling and parametric modeling. Therefore, the ground condition of this paper considers that the inherent nature of architectural design and sensibility lies in the negotiation of 3D space coupled with the organization of voids and spatial components resulting in spatial sequences based on programmatic relationships, resulting in an assemblage (DeLanda 2016). These conditions constitute objects representing a material culture (the built environment) embedded in a symbolic and aesthetic culture (DeLanda 2016) that is created by the designer and captures their sensibilities.
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
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	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	ecaade2016_199
id	ecaade2016_199
authors	Caetano, In?s and Leit?o, António
year	2016
title	Using Processing with Architectural 3D Modelling
doi	https://doi.org/10.52842/conf.ecaade.2016.1.405
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
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.
wos	WOS:000402063700045
keywords	Generative design; Programming; Processing; 3D modeling
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2016_078
id	ecaade2016_078
authors	Das, Subhajit, Zolfagharian, Samaneh, Nourbakhsh, Mehdi and Haymaker, John
year	2016
title	Integrated Spatial-Structural Optimization in the Conceptual Design Stage of Project - A tool to generate and optimize design solutions aiding informed decision making for Architects, Engineers and Stakeholders
doi	https://doi.org/10.52842/conf.ecaade.2016.2.117
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. 117-126
summary	Healthcare design projects require the careful integration of spatial and structural requirements. Today, design teams typically resolve these requirements in two separate, largely sequential steps. In the first step, architects leverage their experience and vision to develop space plans that address program and goals. Next, based on the architect's recommended design, engineers generate and refine a structural design to address structural requirements. This manual process produces a very limited number of non optimal spatial and structural design solutions with unclear decision rationale. This paper presents the Integrated Spatial-Structural Optimization (ISSO) decision making methodology. ISSO supports design teams by helping them generate, analyze, and manage a vast number of integrated spatial and structural solutions. ISSO features a bi-level optimization workflow that has been customized for spatial and structural design of healthcare facilities. The paper describes implementation in the Dynamo parametric modeling platform, and retrospective validation of the algorithm and workflow on an industry case study to demonstrate how ISSO can help design teams generate, analyze, and manage more conceptual design options.
wos	WOS:000402064400011
keywords	Spatial Design; Generative Design; Design Optimization; Facility Planning; Design Tools; Design Automation
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ascaad2016_007
id	ascaad2016_007
authors	Elsayed, Mohamed; Osama Tolba and Ahmed Elantably
year	2016
title	Architectural Space Planning Using Parametric Modeling - Egyptian National Housing Project
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. 45-54
summary	The Egyptian government resorts to prototype housing for low-income citizens to meet the growing demand of the housing market. The problem with the prototype is that it does not meet specific needs. Consequently, users make modifications to the prototype without professional intervention because of the high cost. This paper discusses an automatic multi-stories space planning tool that helps low-income citizens to modify their prototype housing provided by the government. Social, spatial and functional design aspects were set in the original design prototype by an architect. The proposed tool simulates spaces spatial locations in the original design by simulating the analogy of mechanical springs through an interactive simulation of a parametric model. The authors developed the used algorithm in the generative design tool Grasshopper and the live physics engine Kangaroo, both working within the Rhino 3D environment. The algorithm has two versions, one-floor level version and two floors version targeting the wealthier users. Results indicate that this tool integrates with the exploratory nature of the design process even for non-professional users. The authors designed a tool that will help the users to study the effect of the desired modifications against the originally provided prototype, it also makes it easier for users to express their requirements to a professional designer, conserving time and financial cost.
series	ASCAAD
email
last changed	2017/05/25 13:13

_id	ecaade2016_185
id	ecaade2016_185
authors	Ilčík, Martin and Wimmer, Michael
year	2016
title	Collaborative Modeling with Symbolic Shape Grammars
doi	https://doi.org/10.52842/conf.ecaade.2016.2.417
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. 417-426
summary	Generative design based on symbolic grammars is oriented on individual artists. Team work is not supported since single scripts produced by various artists have to be linked and maintained manually with a lot of effort. The main motivation for a collaborative modeling framework was to reduce the script management required for large projects. We achieved even more by extending the design paradigm to a cloud environment where everyone is part of a huge virtual team. The main contribution of the presented work is a web-based modeling system with a specialized variant of a symbolic shape grammar.
wos	WOS:000402064400041
keywords	collaboration; symbolic shape grammar; generative modeling
series	eCAADe
type	normal paper
email
more	admin
last changed	2022/06/07 07:49

_id	ijac201614205
id	ijac201614205
authors	Leitao, Anto?nio; Ines Caetano and Hugo Correia
year	2016
title	Processing architecture
source	International Journal of Architectural Computing vol. 14 - no. 2, 147-157
summary	Programming promotes creative freedom but might require considerable effort to learn. The Processing language was created to simplify this learning process. Due to its graphical capabilities, the language has become very popular among the electronic arts and design communities. Unfortunately, this popularity could not be extended to the architecture community, which relies on traditional heavyweight computer-aided design and building information modeling applications that cannot be programmed using Processing. As a result, it becomes difficult for architects to take advantage of Processing. To solve this problem, we propose an implementation of Processing that runs in the context of the most used computer-aided design tools in architecture. Our implementation allows Processing to generate two- or three-dimensional models that are directly usable for architectural work. To this end, we also propose extensions to the language, including three-dimensional modeling primitives that dramatically simplify the effort needed for developing large and complex architectural models with Processing.
keywords	Generative Design, Programming, Processing, Architecture, 3D Modeling
series	journal
last changed	2016/06/13 08:34

_id	caadria2016_435
id	caadria2016_435
authors	Lin, Chieh-Jen
year	2016
title	The STG Pattern: Application of a “Semantic-Topological-Geometric” Information Conversion Pattern to Knowledge Modeling in Architectural Conceptual Design
doi	https://doi.org/10.52842/conf.caadria.2016.435
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. 435-444
summary	Generative modelling tools have become a popular means of composing algorithms to generate complex building forms at the conceptual design stage. However, composing algorithms in order to meet the requirements of general design criteria, and communicating those criteria with other disciplines by means of generative algorithms still faces technical challenges. This paper proposes the use of a “Se- mantic-Topological-Geometric (STG)” pattern to guide architects in composing algorithms for representing, modelling, and validating de- sign knowledge and criteria. The STG pattern aims to help architects for converting semantic information concerning the situations of a project into design criteria, which are usually composed of topological relations among design elements, in order to explore the geometric properties of building components by means of generated 3D models.
keywords	Generative modelling; design criteria; design pattern; semantic ontology; BIM
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	acadia16_174
id	acadia16_174
authors	Moorman, Andrew; Liu, Jingyang; Sabin, Jenny E.
year	2016
title	RoboSense: Context-Dependent Robotic Design Protocols and Tools
doi	https://doi.org/10.52842/conf.acadia.2016.174
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. 174-183
summary	While nonlinear concepts are widely applied in analysis and generative design in architecture, they have not yet convincingly translated into the material realm of fabrication and construction. As the gap between digital design model, shop drawing, and fabricated result continues to diminish, we seek to learn from fabrication models and natural systems that do not separate code, geometry, pattern, material compliance, communication, and form, but rather operate within dynamic loops of feedback, reciprocity, and generative fabrication. Three distinct, but connected problems: 1) Robotic ink drawing; 2) Robotic wine pouring and object detection; and 3) Dynamically Adjusted Extrusion; were addressed to develop a toolkit including software, custom digital design tools, and hardware for robotic fabrication and user interaction in cyber-physical contexts. Our primary aim is to simplify and consolidate the multiple platforms necessary to construct feedback networks for robotic fabrication into a central and intuitive programming environment for both the advanced to novice user. Our experimentation in prototyping feedback networks for use with robotics in design practice suggests that the application of this knowledge often follows a remarkably consistent profile. By exploiting these redundancies, we developed a support toolkit of data structures and routines that provide simple integrated software for the user-friendly programming of commonly used roles and functionalities in dynamic robotic fabrication, thus promoting a methodology of feedback-oriented design processes.
keywords	online programming, cyber-physical systems, computational design, robotic fabrication, human-robot interaction
series	ACADIA
type	paper
email
last changed	2022/06/07 07:58

_id	sigradi2016_515
id	sigradi2016_515
authors	Silva, Luciano Santos da; Barbieri, Gabriel; Bruscatto, Underléa Miotto; Silva, Fabio Pinto da
year	2016
title	O uso do conceito paramétrico aplicado a uma inovaç?o no mobiliário urbano: estudo de caso bicicletário [The use of parametric concept applied to an innovation in urban furniture: a case study bike rack]
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.337-341
summary	The concept of parametric design combines software and 3D modeling application that provides to designers, architects and engineers a new method for design development. This article aims to create a device for bicycle parking aided by a parametrization process using Grasshopper plug-in. Thus, we develop an algorithm in which its parameters can be modified accordingly to the esthetic-formal configuration required by the project. In order to evaluate the effect of a parametric value over the structure and resulting form, a rendering is created with each parameter change to visualize the resulting design interactively.
keywords	Generative Design; Parametrization; Grasshopper Plug-in
series	SIGRADI
email
last changed	2021/03/28 19:59

_id	sigradi2016_385
id	sigradi2016_385
authors	Souza, Douglas Lopes de; Costa, André Teixeira da; Martinez, Andressa do Carmo Pena; Santos, Denise Mônaco dos
year	2016
title	Análise da integraç?o da modelagem gerativa com BIM: interoperabilidade, potenciais e fluxo do processo no par Revit® - Dynamo [Integration analysis of generative modeling with BIM: interoperability, potentials and flow process with the pair Revit® - Dynamo.]
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.466-470
summary	The practice of generative modeling had a great expansion in recent years and great potential linking systems and software in order to increase the optimized production of their morphologies. In this panorama, BIM processes has a great impact in maintaining consistency between the data generated, the coordination process and the object constructability. This paper presents an analysis of different cases with algorithms applied in different optimization goals proposing an analysis feature of interaction between models and predicting the possibility of structuring a dynamic and interoperable process.
series	SIGRADI
email
last changed	2021/03/28 19:59

_id	acadia19_392
id	acadia19_392
authors	Steinfeld, Kyle
year	2019
title	GAN Loci
doi	https://doi.org/10.52842/conf.acadia.2019.392
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
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	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_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	ijac201614207
id	ijac201614207
authors	Chaszar, Andre and Sam Conrad Joyce
year	2016
title	Generating freedom: Questions of flexibility in digital design and architectural computation
source	International Journal of Architectural Computing vol. 14 - no. 2, 167-181
summary	Generative processes and generative design approaches are topics of continuing interest and debate within the realms of architectural design and related fields. While they are often held up as giving designers the opportunity (the freedom) to explore far greater numbers of options/alternatives than would otherwise be possible, questions also arise regarding the limitations of such approaches on the design spaces explored, in comparison with more conventional, human-centric design processes. This article addresses the controversy with a specific focus on parametric-associative modelling and genetic programming methods of generative design. These represent two established contenders within the pool of procedural design approaches gaining increasingly wide acceptance in architectural computational research, education and practice. The two methods are compared and contrasted to highlight important differences in freedoms and limitations they afford, with respect to each other and to ‘manual’ design. We conclude that these methods may be combined with an appropriate balance of automation and human intervention to obtain ‘optimal’ design freedom, and we suggest steps towards finding that balance.
keywords	Design space exploration, parametric-associative modelling, genetic programming, mixed-initiative methods
series	journal
last changed	2016/06/13 08:34

_id	acadia16_106
id	acadia16_106
authors	Das, Subhajit; Day, Colin; Hauck, John; Haymaker, John; Davis, Diana
year	2016
title	Space Plan Generator: Rapid Generationn & Evaluation of Floor Plan Design Options to Inform Decision Making
doi	https://doi.org/10.52842/conf.acadia.2016.106
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. 106-115
summary	Design exploration in architectural space planning is often constrained by tight deadlines and a need to apply necessary expertise at the right time. We hypothesize that a system that can computationally generate vast numbers of design options, respect project constraints, and analyze for client goals, can assist the design team and client to make better decisions. This paper explains a research venture built from insights into space planning from senior planners, architects, and experts in the field, coupled with algorithms for evolutionary systems and computational geometry, to develop an automated computational framework that enables rapid generation and analysis of space plan layouts. The system described below automatically generates hundreds of design options from inputs typically provided by an architect, including a site outline and program document with desired spaces, areas, quantities, and adjacencies to be satisfied. We envision that this workflow can clarify project goals early in the design process, save time, enable better resource allocation, and assist key stakeholders to make informed decisions and deliver better designs. Further, the system is tested on a case study healthcare design project with set goals and objectives.
keywords	healthcare spaces, facility layout design, design optimization, decision making, binary data tree structure, generative design, automated space plans
series	ACADIA
type	paper
email
last changed	2022/06/07 07:55

_id	caadria2016_767
id	caadria2016_767
authors	De Azambuja Varela, Pedro and Timothy Merritt
year	2016
title	CorkVault Aarhus: exploring stereotomic design space of cork and 5-axis CNC waterjet cutting
doi	https://doi.org/10.52842/conf.caadria.2016.767
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. 767-776
summary	This paper presents the design, fabrication, and construc- tion of CorkVault Aarhus, which was designed using parametric and physics simulation software and realized from ECA cork sheets cut using a CNC waterjet cutter. We recount the lessons learned through the intensive two-week workshop that explored the limits of the mate- rials and tools through prototypes and culminated with the assembly of the final free-form vault structure. Various vaults and arch proto- types provided pedagogical and research value, building up knowledge essential to the final structure built, a human scale pavilion designed and built in three days and made of a thin shell of cork pan- els working only in compression. Three driving concepts were crucial to the experience: stereotomy as a supporting theory, expanded cork agglomerate (ECA) as the main material and water jet cutting as the principal means of fabrication. The complex vault shape called for precise 5-axis cuts supporting a new paradigm in building stereotomic components for architecture.
keywords	Stereotomy; generative algorithm; digital fabrication; waterjet; cork
series	CAADRIA
email
last changed	2022/06/07 07:55

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