Title page for ETD etd-82597-124631

Type of Document

Dissertation

Author

Balabanov, Vladimir Olegovich

Author's Email Address

balabanv@apollo.aoe.vt.edu

URN

etd-82597-124631

Title

Development of Approximations for HSCT Wing Bending Material Weight using Response Surface Methodology

Degree

Doctor of Philosophy

Department

Aerospace and Ocean Engineering

Advisory Committee

Advisor Name	Title
Raphael T. Haftka	Committee Chair
Bernard Grossman	Committee Member
Layne T. Watson	Committee Member
Owen Hughes	Committee Member
Rakesh K. Kapania	Committee Member
William H. Mason	Committee Member

Keywords

Structural optimization
Optimization
Finite element analysis
Finite element optimization
Design
Response Surface
Design of experiments
Multidisciplinary optimization
Parallel computing

Date of Defense

1997-05-09

Availability

unrestricted

Abstract

A procedure for generating a customized weight
function for wing bending material weight of a High Speed Civil Transport
(HSCT) is described. The weight function
is based on HSCT configuration parameters. A response
surface methodology is used to fit a quadratic polynomial to data gathered
from a large number of structural optimizations.
To reduce the time of performing a large number of structural optimizations,
coarse-grained parallelization with a master-slave processor
assignment on an Intel Paragon computer is used.
The results of the structural optimization are noisy.
Noise reduction in the structural optimization results is discussed.
It is shown that the response surface filters out this noise.
A statistical design of experiments technique is used
to minimize the number of required structural optimizations and to maintain
accuracy. Simple analysis techniques
are used to find regions of the design space where reasonable HSCT designs
could occur, thus customizing the weight function to the design requirements of
the HSCT,
while the response surface itself is created employing detailed analysis
methods.
Analysis of variance is used to
reduce the number of polynomial terms in the response surface model function.
Linear and constant corrections based on a small number of high fidelity
results
are employed to improve the accuracy of the
response surface model.
Configuration optimization of the HSCT employing a customized weight function
is compared to the configuration optimization of the HSCT with
a general weight function.

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