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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1.Import design from other CAD tools.
2.Assemble an architecture structure from a library of pre-built blocks and geometry primitives dynamically created by user.
3.Export the design interactively in VRML format back to the library for Internet browsing.
The geometry primitives include polygon, sphere, cone, cylinder and cube. The pre-built blocks consist of fundamental architecture models which have been categorized with architectural related style, physical properties and environmental attributes. Upon a user’s request, the tool or the composer, has the ability to communicate with the library which indeed is a back-end distributed client-server database engine. The user may specify any combination of properties and attributes in the composer which will instantly bring up all matching 3-dimensional objects through the database engine. The database is designed in relational model and comes from the work of another research group.
Within contemporary digital environments, there are increasing opportunities to explore and evaluate design proposals which integrate both architectural and landscape aspects. The production of integrated design solutions exploring buildings and their surrounding context is now possible through the design development of shared 3-D and 4-D virtual environments, in which buildings no longer float in space.
The scope of landscape design has expanded through the application of techniques such as GIS allowing interpretations that include social, economic and environmental dimensions. In architecture, for example, object-oriented CAD environments now make it feasible to integrate conventional modelling techniques with analytical evaluations such as energy calculations and lighting simulations. These were all ambitions of architects and landscape designers in the 70s when computer power restricted the successful implementation of these ideas. Instead, the commercial trend at that time moved towards isolated specialist design tools in particular areas. Prior to recent innovations in computing, the closely related disciplines of architecture and landscape have been separated through the unnecessary development, in our view, of their own symbolic representations, and the subsequent computer applications. This has led to an unnatural separation between what were once closely related disciplines.
Significant increases in the performance of computers are now making it possible to move on from symbolic representations towards more contextual and meaningful representations. For example, the application of realistic materials textures to CAD-generated building models can then be linked to energy calculations using the chosen materials. It is now possible for a tree to look like a tree, to have leaves and even to be botanicaly identifiable. The building and landscape can be rendered from a common database of digital samples taken from the real world. The complete model may be viewed in a more meaningful way either through stills or animation, or better still, through a total simulation of the lifecycle of the design proposal. The model may also be used to explore environmental/energy considerations and changes in the balance between the building and its context most immediately through the growth simulation of vegetation but also as part of a larger planning model.
The Internet has a key role to play in facilitating this emerging collaborative design process. Design professionals are now able via the net to work on a shared model and to explore and test designs through the development of VRML, JAVA, whiteboarding and video conferencing. The end product may potentially be something that can be more easily viewed by the client/user. The ideas presented in this paper form the basis for the development of a dual course in landscape and architecture. This will create new teaching opportunities for exploring the design of buildings and sites through the shared development of a common computer model.
Prior to the experiment an extensive literature search was carried out to explore the relationship between the design process, visual thinking, conventional sketching (interactive imagery) and Computer Aided Design. Out of this search a number of design variables were identified, developed and then tested through a series of observations and interviews with the students while they were engaged in the design of the Graphic Designer’s Studio. Questionnaires were also administered to students to explore their views on issues including, using CAD instead of conventional tools, design areas where CAD is most effective, and how CAD can improve design skills.
Pairs of participants were set a design problem and asked to solve it in face-to-face settings. The same problem was then tackled by participants in settings using two different modes of computer-supported communication: email and an electronic whiteboard. Protocols were collected and analyzed in terms of the constraints of each tool relative to the task and to each other. The GOMS methodology was used as a way to represent the collaborative design process in a way that yields information on both the productivity and performance of participants in each of the three experimental conditions. It also yielded information on the component elements of the design process, the basic cognitive building-blocks of design, thereby suggesting fundamentally new tools that might be created for interaction in virtual environments.
A further goal of the study was to explore the nature of task differences in relation to alternative platforms for communication. It was hypothesized that design processes involving significant negotiation would be less aided by computer support than straight forward design problems. The latter involve cooperative knowledge application by both participants and are therefore facilitated by information-rich forms of computer support. The former, on the other hand, requires conflict resolution and is inhibited by non face-to-face interaction. The results of this study point to the fact that the success of collaboration in virtual space is not just dependent on the nature of the tools but also on the specific nature of the collaborative task.
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