Design and Optimization of Complex Systems
Truely optimal solutions to system design can only be obtained if the entire system is considered. In this research we consider design of commercial aircraft, but we expand the system to include a family of planes. A multidisciplinary design optimization framework is developed in which multiple airc...
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| Formaat: | Artikel |
| Taal: | en_US |
| Gepubliceerd in: |
2003
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| Online toegang: | http://hdl.handle.net/1721.1/3997 |
| _version_ | 1826211261979820032 |
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| author | Willcox, Karen E. |
| author_facet | Willcox, Karen E. |
| author_sort | Willcox, Karen E. |
| collection | MIT |
| description | Truely optimal solutions to system design can only be obtained if the entire system is considered. In this research we consider design of commercial aircraft, but we expand the system to include a family of planes. A multidisciplinary design optimization framework is developed in which multiple aircraft, each with different missions, can be optimized simultaneously. Results are presented for a two-member family whose individual missions differ significantly. We show that both missions can be satisfied with common designs, and that by optimizing both planes simultaneously rather than following the traditional baseline plus derivative approach, the common solution is vastly improved. The new framework is also used to gain insight to the effect of design variable scaling on the optimization algorithm. |
| first_indexed | 2024-09-23T15:03:27Z |
| format | Article |
| id | mit-1721.1/3997 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:03:27Z |
| publishDate | 2003 |
| record_format | dspace |
| spelling | mit-1721.1/39972019-04-12T11:15:06Z Design and Optimization of Complex Systems Willcox, Karen E. system design commercial aircraft multidisciplinary design optimization framework design variable scaling Truely optimal solutions to system design can only be obtained if the entire system is considered. In this research we consider design of commercial aircraft, but we expand the system to include a family of planes. A multidisciplinary design optimization framework is developed in which multiple aircraft, each with different missions, can be optimized simultaneously. Results are presented for a two-member family whose individual missions differ significantly. We show that both missions can be satisfied with common designs, and that by optimizing both planes simultaneously rather than following the traditional baseline plus derivative approach, the common solution is vastly improved. The new framework is also used to gain insight to the effect of design variable scaling on the optimization algorithm. Singapore-MIT Alliance (SMA) 2003-12-23T02:14:46Z 2003-12-23T02:14:46Z 2002-01 Article http://hdl.handle.net/1721.1/3997 en_US High Performance Computation for Engineered Systems (HPCES); 105882 bytes application/pdf application/pdf |
| spellingShingle | system design commercial aircraft multidisciplinary design optimization framework design variable scaling Willcox, Karen E. Design and Optimization of Complex Systems |
| title | Design and Optimization of Complex Systems |
| title_full | Design and Optimization of Complex Systems |
| title_fullStr | Design and Optimization of Complex Systems |
| title_full_unstemmed | Design and Optimization of Complex Systems |
| title_short | Design and Optimization of Complex Systems |
| title_sort | design and optimization of complex systems |
| topic | system design commercial aircraft multidisciplinary design optimization framework design variable scaling |
| url | http://hdl.handle.net/1721.1/3997 |
| work_keys_str_mv | AT willcoxkarene designandoptimizationofcomplexsystems |