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• W204657830 abstract "As computational fluid dynamics codes have steadily evolved into everyday analysis tools, a large focus has recently been placed on integrating them into a design optimization environment. Much of the recent work done in the area of CFD-based design optimization has focused on adjoint methods. This approach has been found to be efficient in aerodynamic problems for cases where the number of design variables is typically large and the number of cost functions and/or flow field constraints is usually small. This chapter describes a parallel framework for performing aerodynamic design optimizations on unstructured meshes. The approach utilizes a discrete adjoint formulation that has previously been implemented in a sequential environment and is based on the three-dimensional Reynolds-averaged Navier-Stokes equations coupled with a one-equation turbulence model. In the chapter, only the inviscid terms are treated in order to develop a foundation for a multiprocessor design methodology. A parallel version of the adjoint solver is developed using a library of MPI-based linear and nonlinear solvers known as PETSc, while a shared-memory approach is taken for the mesh movement and gradient evaluation codes. Parallel efficiencies are demonstrated and the linearization of the residual is shown to remain valid." @default.
• W204657830 created "2016-06-24" @default.
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• W204657830 date "2000-01-01" @default.
• W204657830 modified "2023-09-25" @default.
• W204657830 title "Implementation of a Parallel Framework for Aerodynamic Design Optimization on Unstructured Meshes" @default.
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• W204657830 doi "https://doi.org/10.1016/b978-044482851-4.50039-6" @default.
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