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Aerodynamic Shape Design of Nozzles Using a Hybrid Optimization Method

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Show simple item record Xing, X.Q. Damodaran, Murali 2003-12-14T22:20:17Z 2003-12-14T22:20:17Z 2004-01
dc.description.abstract A hybrid design optimization method combining the stochastic method based on simultaneous perturbation stochastic approximation (SPSA) and the deterministic method of Broydon-Fletcher-Goldfarb-Shanno (BFGS) is developed in order to take advantage of the high efficiency of the gradient based methods and the global search capabilities of SPSA for applications in the optimal aerodynamic shape design of a three dimensional elliptic nozzle. The performance of this hybrid method is compared with that of SPSA, simulated annealing (SA) and gradient based BFGS method. The objective functions which are minimized are estimated by numerically solving the 3D Euler and Navier-Stokes equations using a TVD approach and a LU implicit scheme. Computed results show that the hybrid optimization method proposed in this study shows a promise of high computational efficiency and global search capabilities. en
dc.description.sponsorship Singapore-MIT Alliance (SMA) en
dc.format.extent 746972 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.relation.ispartofseries High Performance Computation for Engineered Systems (HPCES);
dc.subject hybrid optimization method en
dc.subject simulated annealing en
dc.subject gradient-based optimization en
dc.subject simultaneous perturbation stochastic approximation en
dc.subject aerodynamic shape design en
dc.subject CFD en
dc.title Aerodynamic Shape Design of Nozzles Using a Hybrid Optimization Method en
dc.type Article en

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