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Multidisciplinary optimisation of a supersonic transport using design of experiments theory and response surface modelling

Published online by Cambridge University Press:  04 July 2016

A. A. Giunta ,
V. Balabanov ,
D. Haim ,
B. Grossman ,
W. H. Mason ,
L. T. Watson  and
R. T. Haftka
A. A. Giunta
Affiliation:
Multidisciplinary Analysis and Design (MAD) Center for Advanced VehiclesVirginia Polytechnic Institute and State UniversityBlacksburg, Virginia, USA
V. Balabanov
Affiliation:
Multidisciplinary Analysis and Design (MAD) Center for Advanced VehiclesVirginia Polytechnic Institute and State UniversityBlacksburg, Virginia, USA
D. Haim
Affiliation:
Multidisciplinary Analysis and Design (MAD) Center for Advanced VehiclesVirginia Polytechnic Institute and State UniversityBlacksburg, Virginia, USA
B. Grossman
Affiliation:
Multidisciplinary Analysis and Design (MAD) Center for Advanced VehiclesVirginia Polytechnic Institute and State UniversityBlacksburg, Virginia, USA
W. H. Mason
Affiliation:
Multidisciplinary Analysis and Design (MAD) Center for Advanced VehiclesVirginia Polytechnic Institute and State UniversityBlacksburg, Virginia, USA
L. T. Watson
Affiliation:
Multidisciplinary Analysis and Design (MAD) Center for Advanced VehiclesVirginia Polytechnic Institute and State UniversityBlacksburg, Virginia, USA
R. T. Haftka
Affiliation:
Department of Aerospace Engineering, Mechanics and Engineering ScienceUniversity of FloridaGainesville, Florida, USA
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Abstract

The presence of numerical noise in engineering design optimisation problems inhibits the use of many gradient-based optimisation methods. This numerical noise may result in the inaccurate calculation of gradients which in turn slows or prevents convergence during optimisation, or it may promote convergence to spurious local optima. The problems created by numerical noise are particularly acute in aircraft design applications where a single aerodynamic or structural analysis of a realistic aircraft configuration may require tens of CPU hours on a supercomputer. The computational expense of the analyses coupled with the convergence difficulties created by numerical noise are significant obstacles to performing aircraft multidisciplinary design optimisation. To address these issues, a procedure has been developed to create noise-free algebraic models of subsonic and supersonic aerodynamic performance quantities, for use in the optimisation of high-speed civil transport (HSCT) aircraft configurations. This procedure employs methods from statistical design of experiments theory and response surface modelling to create the noise-free algebraic models. Results from a sample HSCT design problem involving ten variables are presented to demonstrate the utility of this method.

Type
Research Article
Information
The Aeronautical Journal , Volume 101 , Issue 1008 , October 1997 , pp. 347 - 356
Copyright
Copyright © Royal Aeronautical Society 1997 

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