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	ecaade2008_083
id	ecaade2008_083
authors	Belcher, Daniel; Johnson, Brian R.
year	2008
title	ARchitectureView
doi	https://doi.org/10.52842/conf.ecaade.2008.561
source	Architecture in Computro [26th eCAADe Conference Proceedings / ISBN 978-0-9541183-7-2] Antwerpen (Belgium) 17-20 September 2008, pp. 561-568
summary	We present a system for viewing architectural building models – specifically Building Information Modeling (BIM) models – in 3D using an Augmented Reality Tangible User Interface (TUI) and a Magic Lens interaction metaphor. ARchitectureView is meant to facilitate communication and collaboration around a shared model. We present the system overview and a number of use scenarios in which the interface would serve to improve communication across disciplines and varied technical backgrounds, while supporting a rich and coherent common understanding.
keywords	Augmented Reality, Building Information Modeling, Magic Lens, Tangible User Interface
series	eCAADe
email
last changed	2022/06/07 07:54

_id	acadia08_300
id	acadia08_300
authors	Doumpioti, Christina
year	2008
title	Adaptive Growth of Fibre Composite Structures
doi	https://doi.org/10.52842/conf.acadia.2008.300
source	Silicon + Skin: Biological Processes and Computation, [Proceedings of the 28th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) / ISBN 978-0-9789463-4-0] Minneapolis 16-19 October 2008, 300-307
summary	The core idea of this research is the incorporation of the morphogenetic principles found in natural systems in the generation of fibre-composite structures by exploiting, at the maximum, the intrinsic performative capacities of the material system in use. The intention is the integration of form, material, structure and program into a multi-performative system that will satisfy simultaneously several, even conflicting objectives, in order to achieve an optimal compromise. This process involves the combination and implementation of concepts and methods based on precedent studies in the field of biomimetics, as well as form-finding digital and physical experiments that inform a coherent design methodology, leading to a structural system able to be fabricated using cutting-edge technology.
keywords	Adaptation; Composite; Fiber; Integrative; Morphogenesis
series	ACADIA
last changed	2022/06/07 07:55

_id	acadia08_072
id	acadia08_072
authors	Frumar, Jerome
year	2008
title	An Energy Centric Approach to Architecture: Abstracting the material to co-rationalize design and performance
doi	https://doi.org/10.52842/conf.acadia.2008.072
source	Silicon + Skin: Biological Processes and Computation, [Proceedings of the 28th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) / ISBN 978-0-9789463-4-0] Minneapolis 16-19 October 2008, 72-81
summary	This paper begins by exploring matter as an aggregated system of energy transactions and modulations. With this in mind, it examines the notion of energy driven form finding as a design methodology that can simultaneously negotiate physical, environmental and fabrication considerations. The digital workspace enables this notion of form finding to re-establish itself in the world of architecture through a range of analytic tools that algorithmically encode real world physics. Simulating the spatial and energetic characteristics of reality enables virtual “form generation models that recognize the laws of physics and are able to create ‘minimum’ surfaces for compression, bending [and] tension” (Cook 2004). The language of energy, common in engineering and materials science, enables a renewed trans-disciplinary dialogue that addresses significant historic disjunctions such as the professional divide between architects and engineers. Design becomes a science of exploring abstracted energy states to discover a suitable resonance with which to tune the built environment. ¶ A case study of one particular method of energy driven form finding is presented. Bi-directional Evolutionary Structural Optimization (BESO) is a generative engineering technique developed at RMIT University. It appropriates natural growth strategies to determine optimum forms that respond to structural criteria by reorganizing their topology. This dynamic topology response enables structural optimization to become an integrated component of design exploration. A sequence of investigations illustrates the flexibility and trans-disciplinary benefits of this approach. Using BESO as a tool for design rather than purely for structural optimization fuses the creative approach of the architect with the pragmatic approach of the engineer, enabling outcomes that neither profession could develop in isolation. The BESO case study alludes to future design processes that will facilitate a coherent unfolding of design logic comparable to morphogenesis.
keywords	Energy; Form-Finding; Morphogenesis; Optimization; Structure
series	ACADIA
last changed	2022/06/07 07:50

_id	acadia16_140
id	acadia16_140
authors	Nejur, Andrei; Steinfeld, Kyle
year	2016
title	Ivy: Bringing a Weighted-Mesh Representations to Bear on Generative Architectural Design Applications
doi	https://doi.org/10.52842/conf.acadia.2016.140
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. 140-151
summary	Mesh segmentation has become an important and well-researched topic in computational geometry in recent years (Agathos et al. 2008). As a result, a number of new approaches have been developed that have led to innovations in a diverse set of problems in computer graphics (CG) (Sharmir 2008). Specifically, a range of effective methods for the division of a mesh have recently been proposed, including by K-means (Shlafman et al. 2002), graph cuts (Golovinskiy and Funkhouser 2008; Katz and Tal 2003), hierarchical clustering (Garland et al. 2001; Gelfand and Guibas 2004; Golovinskiy and Funkhouser 2008), primitive fitting (Athene et al. 2004), random walks (Lai et al.), core extraction (Katz et al.) tubular multi-scale analysis (Mortara et al. 2004), spectral clustering (Liu and Zhang 2004), and critical point analysis (Lin et al. 20070, all of which depend upon a weighted graph representation, typically the dual of a given mesh (Sharmir 2008). While these approaches have been proven effective within the narrowly defined domains of application for which they have been developed (Chen 2009), they have not been brought to bear on wider classes of problems in fields outside of CG, specifically on problems relevant to generative architectural design. Given the widespread use of meshes and the utility of segmentation in GAD, by surveying the relevant and recently matured approaches to mesh segmentation in CG that share a common representation of the mesh dual, this paper identifies and takes steps to address a heretofore unrealized transfer of technology that would resolve a missed opportunity for both subject areas. Meshes are often employed by architectural designers for purposes that are distinct from and present a unique set of requirements in relation to similar applications that have enjoyed more focused study in computer science. This paper presents a survey of similar applications, including thin-sheet fabrication (Mitani and Suzuki 2004), rendering optimization (Garland et al. 2001), 3D mesh compression (Taubin et al. 1998), morphin (Shapira et al. 2008) and mesh simplification (Kalvin and Taylor 1996), and distinguish the requirements of these applications from those presented by GAD, including non-refinement in advance of the constraining of mesh geometry to planar-quad faces, and the ability to address a diversity of mesh features that may or may not be preserved. Following this survey of existing approaches and unmet needs, the authors assert that if a generalized framework for working with graph representations of meshes is developed, allowing for the interactive adjustment of edge weights, then the recent developments in mesh segmentation may be better brought to bear on GAD problems. This paper presents work toward the development of just such a framework, implemented as a plug-in for the visual programming environment Grasshopper.
keywords	tool-building, design simulation, fabrication, computation, megalith
series	ACADIA
type	paper
email
last changed	2022/06/07 07:58

_id	sigradi2008_179
id	sigradi2008_179
authors	Toloudi, Zenovia
year	2008
title	Architectural Brand valuations through a tag-based learning machine.
source	SIGraDi 2008 - [Proceedings of the 12th Iberoamerican Congress of Digital Graphics] La Habana - Cuba 1-5 December 2008
summary	Brand is a set of associations related to an object from a particular source (Libai 2008). Such an object can be a product, person or service. Architecture is both service and product. However architectural Branding has never been clearly defined. This probably happens due to the lack of tools to measure the architectural Brand. This paper explores a direction to evaluate the architectural Brand by using computational methods in order to offer a better understanding regarding the awareness, reputation and prominence of the architectural firm. The methodology is based on case studies in which the brands of different types of architectural firms are analyzed, measured and compared to each other through a two-part process: a. the development of one tool to statistically measure the architectural Brand and b. the interpretation of the results of the measurements. a. Learning machine In order to make these brand measurements within a specific group of people or images, this paper develops an interactive tool that uses an image database. The tool constitutes a learning machine; it makes a hypothetic hierarchical categorization of the image database into + and – using an initial sample and it proposes to the user the first image of the list; finally, the user validates the image by confirming or not the machine’s guess. In this image database, each image is described as an array of attributes (tags). Tags can be generated either by the architectural firm itself or can emerge by users. b. Evaluation of results This interactive, user-friendly tool is drawing a user’s preference by proposing similar images from the database based on a learning process from the user input (initial sample and feedback); alternatively, it can be used as a questionnaire for quantitative research. Moreover, this tool categorizes photos of similar content. This research focuses on the following issues as parameters of the effectiveness of the process: o Simplicity of the database organization through computation. o Top-down Vs. Bottom-up tagging of works/ images mechanism. o Future use of the image database. o Transformation of the image database while becoming larger. o “Market” segmentation or not. o Combination of the tool with other Brand measurement tools. o Combination of the tool with other image databases. The outcome of this approach can provide an analysis and metric of the brand strength of different architectural firms. Furthermore, it can help architectural firms to understand better how they are perceived by others in order to improve their brand image and associations.
keywords	Branding, learning machine, image database, attribute, tag
series	SIGRADI
email
last changed	2016/03/10 10:01

_id	ddss2008-14
id	ddss2008-14
authors	Zekri, Elyes; Gérard Hégron and Alain Legendre
year	2008
title	Environmental Classification of Urban PedestrianWalkways
source	H.J.P. Timmermans, B. de Vries (eds.) 2008, Design & Decision Support Systems in Architecture and Urban Planning, ISBN 978-90-6814-173-3, University of Technology Eindhoven, published on CD
summary	This work is developed in the framework of urban design where we try to understand, to characterize then to qualify the environmental quality of urban open spaces along pedestrian walkways. So, we propose an analysis and a classification method applied to pedestrian walkways, taking into account their environmental characteristics. Analysis method is based on Discrete Wavelet Transform (DWT) in which we exploit the detailed version of the signal representing the evolution of a physical factor of environment along the walkway. This method leads to a segmentation of the signal. Then, a classification technique called Agglomerative Hierarchical Clustering (AHC) is performed to identify classes of walkways in terms of environmental features.
keywords	Pedestrian walkways, physical factors of environment, wavelet, classification
series	DDSS
last changed	2008/09/01 17:06

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