Abstract
A computational tool is developed to be used in the preliminary design of an air vehicle. This tool parametrically optimizes the airframe shape. In order to search the entire solution space thoroughly, a genetic algorithm is used. Code parallelization is utilized to decrease the convergence time of the airframe shape design of a realistic missile geometry on a Grid infrastructure to further improve the search quality. In this work, a generic missile geometry is taken as a test case for a design application. The problem is to maximize the weighted average of lift-to-drag ratio for given mass and propulsion unit.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
O. Baysal,M.E. Eleshaky, Aerodynamic Design Optimization Using Sensitivity Analysis and Computational Fluid Dynamics. AIAA 91-0471 (1991)
Ide, H., Abdi, F., Shankar, V.J.: CFD Sensitivity Study for Aerodynamic/Control Optimization Problems. AIAA 88-2336 (1988)
Reuther, J., Jameson, A., Farmer, J., Martinelli, L., Suanders, D.: Aerodynamic Shape Optimization of Complex Aircraft Configurations via an Adjoint Formulation. AIAA 96-0094 (1996)
Anderson, M.B., Burkhalter, J.E., Jenkins, R.M.: Missile Aerodynamic Shape Optimization Using Genetic Algorithms. AIAA 99-0261 (1999)
Foster, N.F., Dulikravich, G.S.: Three-Dimensional Aerodynamic Shape Optimization Using Genetic and Gradient Search Algorithms. J. Spacecraft and Rockets 34, 36–41 (1997)
Blaize, M., Knight, D., Rasheed, K.: Automated Optimal Design of Two Dimensional High Speed Missile Inlets. AIAA 98-0950 (1998)
Tekinalp, O., Bingl, M.: Simulated Annealing for Missile Optimization: Developing Method and Formulation Techniques. J. Guidance, Control, and Dynamics 27, 616–626 (2004)
Lee, J., Hajela, P.: Parallel Genetic Algorithm Implementation in Multidisciplinary Rotor Blade Design. J Aircraft 33 (1996) *
Jones, B.R., Crossley, W.A., Lyrintzis, A.S.: Aerodynamic and Aeroacoustic Optimization of Rotorcraft Airfoils via a Parallel Genetic Algorithm. J Aircraft 37 (2000)
Buns, K.A., Stoy, S.L., Vukelich, S. R.: Missile DATCOM: User Manual – 1997 Fortran 90 Revision (1998)
GridAE: Grid-based Artificial Evolution Framework, http://GridAE.ceng.metu.edu.tr
South Eastern European Grid-enabled Infrastructure Development Grid Project, http://www.see-grid.eu
Enabling Grids for E-sciencE, http://www.eu-egee.org
Lightweight Middleware for Grid Computing, http://glite.web.cern.ch/glite
Scientific Linux, https://www.scientificlinux.org
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer Berlin Heidelberg
About this paper
Cite this paper
Oktay, E., Merttopcuoglu, O., Sener, C., Ketenci, A., Akay, H.U. (2010). Parallel Shape Optimization of a Missile on a Grid Infrastructure. In: Tromeur-Dervout, D., Brenner, G., Emerson, D., Erhel, J. (eds) Parallel Computational Fluid Dynamics 2008. Lecture Notes in Computational Science and Engineering, vol 74. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14438-7_5
Download citation
DOI: https://doi.org/10.1007/978-3-642-14438-7_5
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14437-0
Online ISBN: 978-3-642-14438-7
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)