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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The BDA provides a graphical user interface that consists of two main elements: the Building Browser and the Decision Desktop. The Browser allows building designers to quickly navigate through the multitude of descriptive and performance parameters addressed by the analysis and visualization tools linked to the BDA. Through the Browser the user can edit the values of input parameters and select any number of input and/or output parameters for display in the Decision Desktop. The Desktop allows building designers to compare multiple design alternatives with respect to any number of parameters addressed by the tools linked to the BDA.
The BDA is implemented as a Windows-based application for personal computers. Its initial version is linked to a Schematic Graphic Editor (SGE), which allows designers to quickly and easily specify the geometric characteristics of building components and systems. For every object created in the SGE, the BDA supplies “smart” default values from a Prototypical Values Database (PVD) for all non-geometric parameters required as input to the analysis and visualization tools linked to the BDA. In addition to the SGE and the PVD, the initial version of the BDA is linked to a daylight analysis tool, an energy analysis tool, and a multimedia Case Studies Database (CSD). The next version of the BDA will be linked to additional tools, such as a photo-accurate rendering program and a cost analysis program. Future versions will address the whole building life-cycle and will be linked to construction, commissioning and building monitoring tools.
Most of the studies done for the effective use of this potential of computer aid in architectural design assert that the way architects design without the computer is not "familiar" to the way architects are led to design with the computer. In other words, they complain that the architectural design software does not work in the same way as the architects think and design the models in their brains. Within the above framework, this study initially discusses architectural design as a modeling process and defines computer generated simulations (walkthrough, flythrough, virtual reality) as models. Based on this discussion, the "familiarity" of architectural design and computer aided design is displayed. And then, it is asserted that the issue of familiarity should be discussed not from the point of the modeling procedure, but from the "trueness" of the model displayed.
Therefore, it is relevant to ask to what extent should the simulation simulate the design model. The simulation, actually, simulates not what is real, but what is unreal. In other words, the simulation tells lies in order to display the truth. Consequently, the study proposes measures as to how true a simulation model should be in order to represent the design model best.
This paper outlines a proposal for an alternative method for teaching daylight and artificial lighting design for both architectural students and practitioners. It is based on photorealistic images as well as numbers, and employs the Lumen Micro 6.0 programme. This software package is a complete indoor lighting design and analysis programme which generates perspective renderings and animated walk-throughs of the space lighted naturally and artificially.
The paper also presents the findings of an empirical case study to validate Lumen Micro 6.0 by comparing simulated output with field monitoring of horizontal and vertical illuminance and luminance inside the highly acclaimed GSA building in Glasgow. The monitoring station was masterminded by the author and uses the Megatron lighting sensors, Luscar dataloggers and the Easylog analysis software. In addition photographs of a selected design studio inside the GSA building were contrasted with computer generated perspective images of the same space.
After a brief review of the underlying technology for the implementation of the inference engine, the paper demonstrates an actual design session using a bi-directional thermal simulation tool. Specifically, a use-scenario is described in which the designer explores the tradeoffs between various design variables (glazing area, glazing type, and floor mass) in view of the resulting energy performance of a typical residential building. The paper concludes with a discussion of the potential and limitations of the bi-directional approach toward active convergence support for performance-oriented design development.
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