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• W2005263166 abstract "An efficient formulation for the robust design optimization of compressible fluid flow problems is presented. The methodology has three essential ingredients. First, the procedure permits the use of highly accurate flow solvers which need no additional modification. Second, efficient design sensitivities are obtained using a discrete adjoint formulation. The adjoint problem is based on a dissipative flow solver in order to obtain robust sensitivity derivatives in the presence of noise or other non-smoothness associated with objective functions on many high-speed flow problems. The third ingredient of the procedure involves what we term a progressive optimization, whereby a sequence of operations—containing a partially converged flow solution, followed by an adjoint solution—followed by an optimization step is performed. Furthermore, the progressive optimization involves the use of progressively finer grids. This approach has been tested on several inviscid, two-dimensional diffuser, nozzle, channel and airfoil flow inverse design problems in transonic, subsonic and supersonic flow. The methodology is shown to be robust and highly efficient, with a converged design optimization produced in no more than the amount of computational work to perform from one to four flow analyses." @default.
• W2005263166 created "2016-06-24" @default.
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• W2005263166 date "2000-01-01" @default.
• W2005263166 modified "2023-09-24" @default.
• W2005263166 title "Progressive optimization of inverse fluid dynamic design problems" @default.
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• W2005263166 doi "https://doi.org/10.1016/s0045-7930(99)00002-x" @default.
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