TR175: Multidisciplinary Process Integration and Design Optimization of a Classroom Building
Abstract/Contents
- Abstract
- Architecture, Engineering, and Construction (AEC) professionals typically achieve very few design and analysis iterations during the conceptual stage of a project. One primary cause is limitations in the processes and software tools used by the AEC industry. The aerospace industry has overcome similar limitations using a technique known as Process Integration and Design Optimization (PIDO), resulting in a greater number of design iterations and improved processes and product performance. This paper describes a test application of PIDO to an AEC case study: the multidisciplinary design and optimization (MDO) of a classroom building for structural and energy performance. We demonstrate how PIDO can enable orders of magnitude improvement in the number of iterations typically achieved in practice, and assess the methodology’s potential to improve AEC MDO processes and products.
Description
| Type of resource | text |
|---|---|
| Date created | October 2008 |
Creators/Contributors
| Author | Flager, Forest |
|---|---|
| Author | Welle, Benjamin |
| Author | Bansal, Prasun |
| Author | Soremekun, Grant |
| Author | Haymaker, John |
Subjects
| Subject | CIFE |
|---|---|
| Subject | Center for Integrated Facility Engineering |
| Subject | Stanford University |
| Subject | 3-D |
| Subject | Automation |
| Subject | Design |
| Subject | Energy Simulation |
| Subject | Integration |
| Subject | Multidisciplinary Optimization |
| Subject | Process Modeling |
| Subject | Process Models |
| Subject | Product Model |
| Subject | Product Models |
| Subject | Simulation |
| Subject | Structural Analysis |
| Subject | VDC |
| Subject | Virtual Design and Construction |
| Genre | Technical report |
Bibliographic information
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
Preferred citation
- Preferred Citation
- Flager, Forest and Welle, Benjamin and Bansal, Prasun and Soremekun, Grant and Haymaker, John. (2008). TR175: Multidisciplinary Process Integration and Design Optimization of a Classroom Building. Stanford Digital Repository. Available at: http://purl.stanford.edu/th826kk7081
Collection
CIFE Publications
Contact information
- Contact
- forest@stanford.edu
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