Type of Document Dissertation Author Balabanov, Vladimir Olegovich Author's Email Address email@example.com URN etd-82597-124631 Title Development of Approximations for HSCT Wing Bending Material Weight using Response Surface Methodology Degree PhD Department Aerospace and Ocean Engineering Advisory Committee
Advisor Name Title Haftka, Raphael T. Committee Chair Grossman, Bernard M. Committee Member Hughes, Owen F. Committee Member Kapania, Rakesh K. Committee Member Mason, William H. Committee Member Watson, Layne T. Committee Member Keywords
- Structural optimization
- Finite element analysis
- Finite element optimization
- Response Surface
- Design of experiments
- Multidisciplinary optimization
- Parallel computing
Date of Defense 1997-05-09 Availability unrestricted AbstractA 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
while the response surface itself is created employing detailed analysis
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
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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