Multi-Level, Partitioned Response Surfaces for Modeling Complex Systems

Files
AIAA-98-4958.pdf (122.85 KB)
Author(s)
Koch, Patrick N.
Mistree, Farrokh
Advisor(s)
Editor(s)
Associated Organization(s)
Organizational Unit
Daniel Guggenheim School of Aerospace Engineering
The Daniel Guggenheim School of Aeronautics was established in 1931, with a name change in 1962 to the School of Aerospace Engineering
Organizational Unit
Organizational Unit
Series
Collections
Research Publications
Supplementary to:
Permanent Link
http://hdl.handle.net/1853/6363
Abstract
The most prevalent type of approximating functions employed for efficient engineering analysis and design integration are polynomial response surfaces. However, the construction of response surface approximations has been limited to problems with only a few variables, due to the number of analyses necessary to fit sufficiently accurate models. In this paper, an approach is presented for partitioning response surfaces and constructing multi-level approximations for problems with larger numbers of variables. Using this approach, the (computer) experimentation necessary for fitting response surface models is reduced tremendously. A modified composite experimental design is also presented for the construction of response models that are more consistently accurate across the range of the design variables. The multi-level, partitioned response surface modeling and modified composite design approaches are demonstrated for the preliminary design of a commercial turbofan engine, an example problem defined in collaboration with Allison Engine Company, Rolls-Royce Aerospace Group.
Sponsor
Date
1998-09
Extent
125802 bytes
Resource Type
Text
Resource Subtype
Paper
Rights Statement
Rights URI