Design and Optimization of Complex Systems
Name
HPCES005.pdf
Size
103.4 KB
Format
Adobe PDF
Checksum (MD5)
7c9e6f5d2bff57a94f1fe6ca1d3352db
Author(s)
Willcox, Karen E.
Date Issued
January 2002
Series/Report no.
High Performance Computation for Engineered Systems (HPCES);
Abstract
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.
Subjects
system design
commercial aircraft
multidisciplinary design optimization framework
design variable scaling
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