| dc.creator |
Willcox, Karen E. |
|
| dc.date |
2003-12-23T02:14:46Z |
|
| dc.date |
2003-12-23T02:14:46Z |
|
| dc.date |
2002-01 |
|
| dc.date.accessioned |
2013-10-09T02:33:31Z |
|
| dc.date.available |
2013-10-09T02:33:31Z |
|
| dc.date.issued |
2013-10-09 |
|
| dc.identifier |
http://hdl.handle.net/1721.1/3997 |
|
| dc.identifier.uri |
http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
|
| dc.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. |
|
| dc.description |
Singapore-MIT Alliance (SMA) |
|
| dc.format |
105882 bytes |
|
| dc.format |
application/pdf |
|
| dc.language |
en_US |
|
| dc.relation |
High Performance Computation for Engineered Systems (HPCES); |
|
| dc.subject |
system design |
|
| dc.subject |
commercial aircraft |
|
| dc.subject |
multidisciplinary design optimization framework |
|
| dc.subject |
design variable scaling |
|
| dc.title |
Design and Optimization of Complex Systems |
|
| dc.type |
Article |
|