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	acadia22_714
id	acadia22_714
authors	Li, Yunqin; Zhang, Jiaxin; Wang, Xueqiang; Ma, Kai
year	2022
title	Measuring Street Vitality Based on Video-image Using Deep Learning
source	ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 714-725.
summary	This paper proposes a deep convolutional neural network-based framework for fine-scale studies on automatic evaluation of street-level vitality using multiple object tracking and image segmentation with video data. A deep learning model for street vitality evaluation was proposed based on the intensity and complexity of pedestrian activities.
series	ACADIA
type	paper
email
last changed	2024/02/06 14:04

_id	caadria2023_106
id	caadria2023_106
authors	Li, Yuqian and Xu, Weiguo
year	2023
title	Research on Architectural Sketch to Scheme Image Based on Context Encoder
doi	https://doi.org/10.52842/conf.caadria.2023.1.069
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 69–78
summary	Architects are used to hand drawing sketches to express the architectural creation intention. To present these abstract sketches, architects and teams need to convert sketches into architectural scheme images, which requires a lot of time and labour. Deep learning may have the potential to improve the efficiency of this work. The common sketch-to-image generation is based on Generative Adversarial Network (GAN), and the research of edge-to-image has made a big progress. But these methods require strict alignment of data pairs, which is difficult to achieve. Zhu et al. proposed the loss of Cycle-Consistent, which solved the problem that pairs of data sets are difficult to collect. However, most of the image translation methods require strict alignment between image data pairs, which can be achieved only for the edge mapping extracted from the image; but the sketch is very different from the edge. Due to the abstractness and fuzziness of the sketch, any simple distortion cannot complete the task of providing pixel-level alignment between the sketch and image; And image translation is the transfer of image features such as colour and texture. The original image has a strong constraint on the generated image, which makes the original structure of the image impossible to be changed. By image inpainting, we address this topic using a joint image completion approach with Context-Encoder, where the architectural sketch provides the image context for generating the scheme images. This setting has two advantages: first, the joint images can avoid the complexity of cross modal problems and the strict alignment of the data pairs as image-to-image translation; second, because of the weak constraint, the outputs have greater freedom, which perhaps can generate more imaginative results. The Context-Encoder generates scheme images on the data sets of general architectural sketches. The results present that the applicability of the completion method is better than that of the method of image translation. And scheme images that is different from the original architectural sketch contours have been generated.
keywords	Sketch, Building Scheme Image, Image Completion, Context-Encoder
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	caadria2022_523
id	caadria2022_523
authors	Li, Zhixian, Huang, Xiaoran and Ruszczewski, Szymon
year	2022
title	Conflict and Reconciliation Between Architectural Heritage Values and Energy Sustainability, A Case Study of Xidi Village Anhui Province
doi	https://doi.org/10.52842/conf.caadria.2022.1.707
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 707-716
summary	Virtual reality (VR) can enhance users' spatial perception by enabling spatial design activities. Conversely, the VR environment provides more visual information for the user to process than the desktop environment, resulting in a low efficiency of the design process. This study aims to verify whether VR can have a distinctive influence on the spatial design experience compared to the desktop environment. We conducted user studies on design experience in VR and desktop environments to accomplish this goal. The results revealed that participants‚ satisfaction with the design experience was higher in VR; however, the task completion was more time consuming than in the desktop environment.
keywords	Architectural Heritage, Energy Consumption, Designer‚s Simulation Toolkit, Xidi Village, Huizhou, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ijac20053206
id	ijac20053206
authors	Liakata-Pechlivanidou, Anastasia; Zerefos, Stylianos C.; Zerefos, Stylianos N.
year	2005
title	Perceptual and Cognitive Factors that Influence Orientation in Computer Generated Real Architectural Space
source	International Journal of Architectural Computing vol. 3 - no. 2, 245-254
summary	This study presents results from an experiment that concerns spatial perception and cognition in virtual environments. It also includes the effects of how the development of a simulated virtual space can change perception and cognition of a real building perceived only through architectural drawings and photographs. In the experiment each student was shown external and internal 360° images, representing nodes in virtual space, of the same virtual building. Two different groups of students were formed. The first group was shown photorealistic rendered images, while the other group the same images with non-photorealistic representation. Differences in orientation tendencies of the participating students, as well as statistical results from these experiments were tested and are presented in this paper. It was found that there was a statistically significant tendency of the students towards larger scatter in more luminous virtual space as well as a tendency to visit lit parts of virtual space.
series	journal
more	http://www.multi-science.co.uk/ijac.htm
last changed	2007/03/04 07:08

_id	caadria2024_386
id	caadria2024_386
authors	Liang, Jiadong, Zhong, Ximing and Koh, Immanuel
year	2024
title	Bridging Bim and AI: A Graph-Bim Encoding Approach for Detailed 3D Layout Generation Using Variational Graph Autoencoder
doi	https://doi.org/10.52842/conf.caadria.2024.1.221
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 1, pp. 221–230
summary	Building Information Modelling (BIM) data provides an abundant source with hierarchical and detailed information on architectural elements. Nevertheless, transforming BIM data into an understandable format for AI to learn and generate controllable and detailed three-dimensional (3D) models remains a significant research challenge. This paper explores an encoding approach for converting BIM data into graph-structured data for AI to learn 3D models, which we define as Graph-BIM encoding. We employ the graph reconstruction capabilities of a Variational Graph Autoencoder (VGAE) for the unsupervised learning of BIM data to identify a suitable encoding method. VGAE's graph generation capabilities also reason for spatial layouts. Results demonstrate that VGAE can reconstruct BIM 3D models with high accuracy, and can reason the entire spatial layout from partial layout information detailed with architectural components. The primary contribution of this research is to provide a novel encoding approach for bridging AI and BIM encoding. The Graph-BIM encoding method enables low-cost, self-supervised learning of diverse BIM data, capable of learning and understanding the complex relationships between architectural elements. Graph-BIM provides foundational encoding for training general-purpose AI models for 3D generation.
keywords	BIM, graph-structured, encoding approach, VGAE, graph reconstruction and generation
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	ecaade2024_198
id	ecaade2024_198
authors	Liang, Jiadong; Zhong, Ximing; Koh, Immanuel
year	2024
title	Building-VGAE: Generating 3D detailing and layered building models from simple geometry
doi	https://doi.org/10.52842/conf.ecaade.2024.1.625
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. 625–634
summary	In the current field of AI-assisted architectural design, deep learning models primarily focus on simulating the highly detailed final models designed by human architects. However, in practical design tasks, the final model demands a high level of detail and clear layered classification information for building components. This presents a more significant challenge. We propose a three-dimensional(3D) building generation framework—Building-VGAE, based on Variational Graph Autoencoder (VGAE). Building-VGAE can generate 3D models with detailed building components and layered structure information from end to end, according to design constraints and building volumes. Building-VGAE’s experiment involves transforming 27,965 Housegan data into 3D data represented as graph-structured. The VGAE model then learns the data features and predicts the building component categories to which nodes and edges belong in the experiment. The results demonstrate that the framework can precisely reconstruct and predict building layouts that comply with design constraints and enable unified editing of building components of the same category. Building-VGAE contributes to its ability to learn the generative relationship from design constraints and building volumes to complex high-detail models compared to existing AI generative models. It also possesses prediction and editing capabilities based on the layered classification information of building components. This framework has the potential to position AI as a design partner for human architects, offering end-to-end 3D generative intelligence.
keywords	Variational Graph Auto-Encoder, 3D Spatial Grid Structure, Detailed Building Components, Layered Structure, Graph Reconstruction and Generation
series	eCAADe
email
last changed	2024/11/17 22:05

_id	caadria2009_074
id	caadria2009_074
authors	Liang, Rung-Huei; Ying-Ming Huang
year	2009
title	Visualizing Bits as Urban Semiotics
doi	https://doi.org/10.52842/conf.caadria.2009.033
source	Proceedings of the 14th International Conference on Computer Aided Architectural Design Research in Asia / Yunlin (Taiwan) 22-25 April 2009, pp. 33-42
summary	Geosemiotics, defined as the study of meaning of placing signs in the material world, concerns the interaction of spatial, individual, social, and cultural contexts. Mobile technology, enabling spatial awareness successfully, has turned our living space into coordinates to broaden geosemiotics study. With interdisciplinary perspectives, there is an emerging potential to integrate the study of mobile spatial interaction and geosemiotics and we address several open issues of geospatial applications in this paper. Since indexicality is the focus of geosemiotics study, we focus on digital indexicalities referring to physical space. Physical indexical signs are usually set by government or organizations rather than individuals, and therefore we propose a new concept to place personal indexical signs in the physical space with mobile devices and augmented reality technology. Overlapped onto the physical world via visual, iconic, and metaphorical methods, what these unique personal semiotics bring is a living space with novel urban landscape and geosemiotics.
keywords	locative media; geosemiotics; augmented reality; ubiquitous computing; mobile spatial interaction
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	698a
authors	Liang, You-Dong and Barsky, Brian A.
year	1983
title	An Analysis and Algorithm for Polygon Clipping
source	Communications of the ACM November, 1983. vol. 26: pp. 868-877 : ill. includes bibliography.
summary	(This is one of the two standard algorithms for clipping. The other is the Sutherland-Hodgman reentrant algorithm). The process of polygon clipping is analyzed and the understanding gained thereby forms the foundation of a very direct algorithm. Each edge of the input polygon is considered to be a vector and is then extended to be a line of infinite extent. The boundary line segments of the clip window are extended in a similar fashion to become boundary lines. The intersection points of an extended edge with the boundary lines are identified as entry or exit points. It is observed that these entry and exit points can be used to characterize the visibility status of the edge. Not only might the edge have a visible segment, but it can also induce the inclusion in the output polygon of a vertex at a corner of the clip window called a turning vertex. To quantify the visibility conditions, the edge is written in parametric form. The possible contributions (including nil) that can be provided to the output polygon by a particular edge are established. This analysis is then embedded in an algorithm. An arbitrary example input polygon is given and the output of the algorithm is shown. The execution time for this example using this algorithm is measured to be half of what is required by the standard Sutherland-Hodgman reentrant polygon clipping algorithm
keywords	polygons, clipping, algorithms, computer graphics
series	CADline
last changed	2003/06/02 13:58

_id	05b4
authors	Liang, You-Dong and Barsky, Brian A.
year	1984
title	A New Concept and Method for Line Clipping
source	ACM Transactions on Graphics. January, 1984. vol. 3: pp. 1-22 : ill. includes bibliography
summary	A new concept and method for line clipping is developed that describes clipping in an exact and mathematical form. The basic ideas form the foundation for a family of algorithms for two-dimensional, three-dimensional, and four-dimensional (homogeneous coordinates) line clipping. The line segment to be clipped is mapped into a parametric representation. From this, a set of conditions is derived that describes the interior of the clipping region. Observing that these conditions are all of similar form, they are rewritten such that the solution to the clipping problem is reduced to a simple max/min expression. For each dimension, the mathematics are discussed, an example is given, the algorithm is designed, and a performance test is conducted. The new algorithm is compared with the traditional Sutherland-Cohen clipping algorithm. Using randomly generated data, the new algorithm showed a 36 percent, 40 percent, and 79 percent improvement for two-dimensional, three-dimensional, and four- dimensional clipping, respectively. One of the advantages of this algorithm is the quick rejection of line segments that are invisible. In addition, this algorithm can be easily generalized for clipping against any convex viewing volume
keywords	algorithms, clipping, computer graphics, analysis
series	CADline
last changed	2003/06/02 13:58

_id	cf2005_2_36_65
id	cf2005_2_36_65
authors	LIAO Kai and HAN Chia Y.
year	2005
title	Collective Pavilions: A Generative Architectural Modelling for Traditional Chinese Pagoda
source	Learning from the Past a Foundation for the Future [Special publication of papers presented at the CAAD futures 2005 conference held at the Vienna University of Technology / ISBN 3-85437-276-0], Vienna (Austria) 20-22 June 2005, pp. 129-138
summary	This paper investigates generative architectural modelling for traditional Chinese architecture and aims to explore and extend the potential of adaptive computing for architectural design methods. The design manners analysis of traditional pagodas architectures is made in a holistic view and under historical perspective. We propose a descriptive model and generative system for the design of traditional Chinese pagodas, by which each pagoda is defined as a collection of style-matched and form-coordinated pavilions and described by both topological graphs and variant geometrical units. Our approach models both of the building geometry and space organization/spatial patterns of pagodas separately. The generative mechanism consists of a framework of grammar-based design and parametric, recursive shape computation. Accordingly, the generative algorithm is also made of two levels, the topology of spatial patterns and the shape geometrical parameters that characterize pavilion variations. The algorithm for computing the former is based on GP (Genetic Programming) and the latter GA (Genetic Algorithms). To explore the collective behaviour of a group of pavilions, multi-agent modelling approach is incorporated in composition patterns search. A prototype system, 'glPagoda', using the OpenGL graphics library for rendering and visualization, has been developed and implemented on PC windows platform.
keywords	pagoda, grammar-based design, multi-agent modelling, generative design system
series	CAAD Futures
email
last changed	2005/05/05 07:06

_id	caadria2010_036
id	caadria2010_036
authors	Liao, Hsiu-Ting; Teng-Wen Chang and Ih-Cheng Lai
year	2010
title	Storytelling: a computational approach for convergent thinking
doi	https://doi.org/10.52842/conf.caadria.2010.381
source	Proceedings of the 15th International Conference on Computer Aided Architectural Design Research in Asia / Hong Kong 7-10 April 2010, pp. 381-390
summary	Convergent thinking is an important skill in early design process to deal with the complexity and dynamic nature of design. In this research, by exploring the storytelling mechanism as one way to develop an idea generation representation called DIM (Dynamic Idea Map), we investigate characteristics of convergent process during the brainstorming experiments we conducted. A computational platform called Idea Story (Idea as Storytelling) is proposed which produces a narrative and helps generate a meaningful representation.
keywords	Storytelling; convergent thinking; idea map; design narrative
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	cf2015_484
id	cf2015_484
authors	Liao, Kai; Vries, Bauke de; Kong, Jun and Zhang, Kang
year	2015
title	Pattern, cognition and spatial information processing: Representations of the spatial layout of architectural design with spatial-semantic analytics
source	The next city - New technologies and the future of the built environment [16th International Conference CAAD Futures 2015. Sao Paulo, July 8-10, 2015. Electronic Proceedings/ ISBN 978-85-85783-53-2] Sao Paulo, Brazil, July 8-10, 2015, pp. 484.
summary	In this paper, we review and extend the idea of Alexander’s “pattern language”, especially from the viewpoints of complexity theories, information systems, and human-computer interaction, to explore spatial cognition-based design representations for “intelligent and adaptive/interactive environment” in architecture and urban planning. We propose a theoretic framework of design patterns “with spatial information processing”, and attempt to incorporate state-of-the-art computational methods of information visualization/visual analytics into the conventional CAAD approaches. Focused on the spatial-semantic analytics, together with abstract syntactic pattern representation, by using “spatial-semantic aware” graph grammar formalization, i.e., Spatial Graph Grammars (SGG), the relevant models, algorithms and tool are proposed. We testify our theoretic framework and computational tool VEGGIE (a Visual Environment of Graph Grammar Induction Engineering) by using actual architectural design works (spatial layout exemplars of a small office building and the three house projects by Frank Lloyd Wright) as study cases, so as to demonstrate our proposed approach for practical applications. The results are discussed and further research is suggested.
keywords	Pattern language, complex adaptive systems, spatial cognition, design representations, spatial information processing, Artificial Intelligence, visual language, Spatial Graph Grammars (SGG), spatial-semantic analytics.
series	CAAD Futures
email
last changed	2015/06/29 07:55

_id	caadria2009_019
id	caadria2009_019
authors	Liao, Yuan-Yu
year	2009
title	Some Phenomena of Analogical Thinking in Design
doi	https://doi.org/10.52842/conf.caadria.2009.781
source	Proceedings of the 14th International Conference on Computer Aided Architectural Design Research in Asia / Yunlin (Taiwan) 22-25 April 2009, pp. 781-790
summary	Analogy has been ascribed a key role in architectural design. Until now, there has been no complete theory describing how the analogical thinking process works in the design domain. Analogical thinking usually relates to freehand sketches and rarely connects to computer media. This research attempts to investigate analogical thinking from the perspective of the conventional media and computer media. Four analogical thinking in design phenomena have been established.
keywords	Analogical thinking; sketching; computer media; cognitive experiment
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	ecaade2008_174
id	ecaade2008_174
authors	Liapi , Katherine A.
year	2008
title	Spatial Information Visualization Methods for Large Scale Infrastructure Projects
doi	https://doi.org/10.52842/conf.ecaade.2008.617
source	Architecture in Computro [26th eCAADe Conference Proceedings / ISBN 978-0-9541183-7-2] Antwerpen (Belgium) 17-20 September 2008, pp. 617-624
summary	For the communication of spatial information with regard to the design and construction of large scale urban infrastructure projects several visualization methods and technologies have been developed. The paper discusses two different trends in relevant technologies: a) those that use visualization to facilitate communication of construction planning information between architects, engineers, contractors, the public and other interested parties, and b) technologies that provide real time information on the conditions on the construction site.
keywords	spatial information visualization, real time construction site modeling, construction schedule visualization, motion modeling & vualization
series	eCAADe
email
last changed	2022/06/07 07:59

_id	6a70
authors	Liapi, Katherine
year	2001
title	Transformable Structures: Design Features and Preliminary Investigation
source	Journal of Architectural Engineering -- March 2001 -- Volume 7, Issue 1, pp. 13-17
summary	Innovative building conceptions, that allow for the change of the building's shape and form, can offer advantages for certain types of applications compared to conventional structures. The conception, design,and realization of transformable building structures require the use of innovative building technologies, and the development of new analytical methods and procedures. Geometric complexity is usually acharacteristic of the architectural expression of transformable structures, and their initial geometric configuration and representation is one of the earliest and most challenging phases in their design. A preliminaryinvestigation with computer simulation and animation studies can help identify problems in their initial geometric conception.
series	journal paper
last changed	2003/05/15 21:45

_id	625d
authors	Liapi, Katherine A.
year	2001
title	Geometric Configuration and Graphical Representation of Spherical Tensegrity Networks
doi	https://doi.org/10.52842/conf.acadia.2001.258
source	Reinventing the Discourse - How Digital Tools Help Bridge and Transform Research, Education and Practice in Architecture [Proceedings of the Twenty First Annual Conference of the Association for Computer-Aided Design in Architecture / ISBN 1-880250-10-1] Buffalo (New York) 11-14 October 2001, pp. 258-267
summary	The term “Tensegrity,” that describes mainly a structural concept, is used in building design to address a class of structures with very promising applications in architecture. Tensegrity structures are characterized by almost no separation between structural configuration and formal or architectural expression (Liapi 2000). In the last two decades structural and mechanical aspects in the design of these structures have been successfully addressed, while their intriguing morphology has inspired several artists and architects. Yet, very few real world applications of the tensegrity concept in architecture have been encountered. The geometric and topological complexity of tensegrity structures that is inherent to their structural and mechanical basis may account for significant difficulties in the study of their form and their limited application in building design. In this paper an efficient method for the generation of the geometry of spherical tensegrity networks is presented. The method is based on the integration of CAD tools with Descriptive Geometry procedures and allows designers to resolve and visualize the complex geometry of such structures.
keywords	Tensegrity Networks, Visualization, Geometric Configuration
series	ACADIA
email
last changed	2022/06/07 07:59

_id	6cde
authors	Liapi, Katherine A.
year	2002
title	Transformable Architecture Inspired by the Origami Art: Computer Visualization as a Tool for Form Exploration
doi	https://doi.org/10.52842/conf.acadia.2002.381
source	Thresholds - Design, Research, Education and Practice, in the Space Between the Physical and the Virtual [Proceedings of the 2002 Annual Conference of the Association for Computer Aided Design In Architecture / ISBN 1-880250-11-X] Pomona (California) 24-27 October 2002, pp. 381-388
summary	Membrane packaging has been the main feature of the earliest prototypes of transformablearchitecture. Similar concepts of spatial transformation are encountered in the origami art where aplanar paper surface, after folding, transforms to a 3-dimentional object. The geometric configuration ofcreases on a sheet of paper before folding, as well as the topological properties of 3D origami papermodels, have been recently addressed, and can be used as a guide for the design of new forms.Because membranes in general can be considered surfaces of minimal thickness, principles of theorigami art and math can find applications in the conception and design of transformable membranestructures for architecture. This paper discusses how computer visualization can be used to explorethe potential application of ideas borrowed from the origami art in the conceptual design oftransformable structures. A two-case study that shows how origami math is integrated in the computervisualization of a potential architectural application is included. The same study also shows thatanimated simulations of the transformation process during folding can identify problems in the initialgeometric conception of an origami type structure, and can be used for further morphologicalexplorations.
series	ACADIA
last changed	2022/06/07 07:59

_id	ecaade2007_166
id	ecaade2007_166
authors	Liapi, Katherine A.
year	2007
title	An Integrative Design and Spatial Visualization System for Cable Strut Self-tensioned Structures
doi	https://doi.org/10.52842/conf.ecaade.2007.027
source	Predicting the Future [25th eCAADe Conference Proceedings / ISBN 978-0-9541183-6-5] Frankfurt am Main (Germany) 26-29 September 2007, pp. 27-34
summary	Novel conceptions of structures consisting of spatial formations of struts and cables present a uniquely defined morphology and structural performance, and offer opportunities for innovative applications in building design. A common feature of these structures is that their spatial geometry is not “a priori” given. This paper is focused on a specific type of cable-strut structure that occurs from the assembly of self tensioned cable-strut modules The spatial configuration of these structures is very complex and necessitated the development of elaborate geometric algorithms that permit the generation of their formal geometry in a virtual 3D environment. To facilitate both the design and the construction of such structures, a spatial visualization system, which integrates a) algorithms for initial form generation, b) geometric parameters that simulate construction stiffening processes, and c) appropriate structural analysis methods, has been developed. The structural organization and parts of this system are presented in this paper. The system renders feasible the exploration of alternate geometries with various levels of pre-stress and displays initial and final configuration of the structure. It also allows for structural analysis data visualization. Examples of projects designed with the assistance of this system are included and discussed.
keywords	Cable-strut structures, tensegrity structures, modeling
series	eCAADe
email
last changed	2022/06/07 07:59

_id	0995
authors	Liapi, Katherine A.
year	2000
title	Computer Simulation and Visualization of Geometrically Changing Structures
doi	https://doi.org/10.52842/conf.acadia.2000.267
source	Eternity, Infinity and Virtuality in Architecture [Proceedings of the 22nd Annual Conference of the Association for Computer-Aided Design in Architecture / 1-880250-09-8] Washington D.C. 19-22 October 2000, pp. 267-271
summary	The design of building structures that change shape and form to adapt to different functions or weather conditions requires the application of innovative building technologies, as well as the invention of a new architectural morphology. This morphology is directly related to the kinematic conception of the structure. A computer simulation of the motion of the structure and the display of the structure as an animation of moving parts can identify problems in its initial geometric and kinematic conception. It can also assess the effect of the changing geometry of the structure on space definition, building morphology, and functionality.
series	ACADIA
last changed	2022/06/07 07:59

_id	ijac20032207
id	ijac20032207
authors	Liapi, Katherine A.; Kim, Jinman
year	2004
title	A Parametric Approach to the Design of Vaulted Tensegrity Networks
source	International Journal of Architectural Computing vol. 2 - no. 2
summary	Significant new research in tensegrity theory and technology encourages tensegrity’s implementation in architecture. A recently developed technology makes possible the rapid modular assembly of deployable tensegrity units, and the construction of alternate curved configurations by re-using the same modules. Although a form exploration method for tensegrity structures already exists, estimating the structure’s new geometry remains a challenge due to difficulties designers encounter in understanding and following the method’s geometric construction process. Besides, the method doesn’t address the geometry of vaulted configurations. This paper presents algorithms that link together the geometric parameters that determine the shape of tensegrity vaults by addressing different design-construction scenarios, and a software code that generates parametric models of tensegrity vaulted structures.The application of the algorithms to the morphological study of a tensegrity vaulted dome, which constituted the main feature of an entry to arecent international architectural competition, is also presented.
series	other
type	normal paper
more	http://www.multi-science.co.uk/ijac.htm
last changed	2010/05/16 09:13

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