A design performance driven learning framework for conceptual design knowledge : methodology development and applications
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, February 2008.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2009
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| Online Access: | http://hdl.handle.net/1721.1/46551 |
| _version_ | 1826204104425209856 |
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| author | Chaiworawitkul, Sakda, 1977- |
| author2 | John R. Williams. |
| author_facet | John R. Williams. Chaiworawitkul, Sakda, 1977- |
| author_sort | Chaiworawitkul, Sakda, 1977- |
| collection | MIT |
| description | Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, February 2008. |
| first_indexed | 2024-09-23T12:48:58Z |
| format | Thesis |
| id | mit-1721.1/46551 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T12:48:58Z |
| publishDate | 2009 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/465512019-04-12T10:03:35Z A design performance driven learning framework for conceptual design knowledge : methodology development and applications Chaiworawitkul, Sakda, 1977- John R. Williams. Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering. Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering. Civil and Environmental Engineering. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, February 2008. Pages 169 and 170 blank. Includes bibliographical references (p. 165-167). This thesis develops a learning framework for automation of acquisition of bridge conceptual design knowledge. The thesis proposes a new learning methodology explicitly aimed at capturing quality design aspects to help engineer gain insight into good design. The research uses the National Bridge Inventory (NBI) data, which contains more than 600,000 bridges. The physical condition ratings are used as proxies for design quality. In this data the relationships between physical condition ratings and bridge design elements are not well-known. The simultaneous equation model (SEM) technique is employed to model the physical condition ratings. SEM has the advantage over existing methods of state transition probability estimation in that no a-priori subjective conditional grouping is required. The resulting model yields the marginal effects of design variables on condition ratings, which is easy for engineers to interpret. The analysis results reveal that design features available in the NBI database alone do not adequately explain the resulting condition ratings. Using the identified performance model, COBWEB, an incremental clustering algorithm, is employed to learn mappings from design specification to configuration space. However, the COBWEB branching strategy focuses on probabilistic predictability of feature values. The learned knowledge therefore represents not clusters of good design aspects but rather clusters of local similarity. A modification to the existing strategy is proposed. A set of experiments has been conducted to compare the original and the modified COBWEB. Finally, the thesis provides a detailed discussion of issues related to the quality of the NBI database and proposes strategies for improved analysis of the NBI bridge data. by Sakda Chaiworawitkul. Ph.D. 2009-08-26T16:48:59Z 2009-08-26T16:48:59Z 2007 2008 Thesis http://hdl.handle.net/1721.1/46551 419555604 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 170 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Civil and Environmental Engineering. Chaiworawitkul, Sakda, 1977- A design performance driven learning framework for conceptual design knowledge : methodology development and applications |
| title | A design performance driven learning framework for conceptual design knowledge : methodology development and applications |
| title_full | A design performance driven learning framework for conceptual design knowledge : methodology development and applications |
| title_fullStr | A design performance driven learning framework for conceptual design knowledge : methodology development and applications |
| title_full_unstemmed | A design performance driven learning framework for conceptual design knowledge : methodology development and applications |
| title_short | A design performance driven learning framework for conceptual design knowledge : methodology development and applications |
| title_sort | design performance driven learning framework for conceptual design knowledge methodology development and applications |
| topic | Civil and Environmental Engineering. |
| url | http://hdl.handle.net/1721.1/46551 |
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