Design scenarios methodology - enabling requirements-driven design spaces
Abstract/Contents
- Abstract
- During the conceptual design process, the building shape, orientation, materials and other major properties are established, all of which have a substantial impact on multi-aspect performance. In this process, multidisciplinary teams define project objectives, create various alternatives, and try to understand their impacts and value. With non-parametric Computer Aided Design (CAD) methods designers produce and analyze as few as three alternatives, whereas with parametric CAD -- they can generate thousands. However, with current parametric methods, CAD experts lack a comprehensive method to build and analyze multi-objective parametric models. Therefore the resulting models do not effectively encapsulate multi-objective value measures. This research introduces the Design Scenarios Methodology (DS), which builds on research from Systems Engineering, Process Modeling, and Parametric Modeling. With DS, Enablers use Methods to create Elements using five interconnected models to define (1) project stakeholders and their objectives, (2) designer logic used to address objectives, (3) the connection between designer logic and computable models to generate alternatives, (4) the predicted impact and (5) value of the generated alternatives. I implemented DS as a web-based software prototype and tested it on an industry project. The results provide evidence that the DS method provides CAD experts with well-defined logic and parameters for addressing objectives and the process enables creating parametric alternatives with clear multi-objective values that potentially provide clients with better building designs. This thesis lays the foundation for future research on automating the design alternative generation and analyses processes by leveraging such well established methods as Multi-Disciplinary Optimization.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2011 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Gane, Victor |
|---|---|
| Associated with | Stanford University, Civil & Environmental Engineering Department |
| Primary advisor | Fischer, Martin, 1960 July 11- |
| Primary advisor | Haymaker, John |
| Thesis advisor | Fischer, Martin, 1960 July 11- |
| Thesis advisor | Haymaker, John |
| Thesis advisor | Bazjanac, Vladimir |
| Thesis advisor | Cutkosky, Mark R |
| Advisor | Bazjanac, Vladimir |
| Advisor | Cutkosky, Mark R |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Victor Gane. |
|---|---|
| Note | Submitted to the Department of Civil and Environmental Engineering. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2011. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2011 by Victor Gane
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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