Automatic transition from simulation to one-shot shape optimization with Navier-Stokes equations
Autor: | Emre Özkaya, Nicolas R. Gauger |
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Rok vydání: | 2010 |
Předmět: |
Mathematical optimization
Automatic differentiation business.industry Applied Mathematics MathematicsofComputing_NUMERICALANALYSIS General Physics and Astronomy Solver Computational fluid dynamics Domain (mathematical analysis) General Materials Science Shape optimization Sensitivity (control systems) Reynolds-averaged Navier–Stokes equations business Navier–Stokes equations Mathematics |
Zdroj: | GAMM-Mitteilungen. 33:133-147 |
ISSN: | 0936-7195 |
Popis: | We introduce the one-shot method and its application to aerodynamic shape optimization, where the governing equations are the incompressible Reynolds-Averaged Navier-Stokes (RANS) equations in combination with the k – ω turbulence model. We constrain the one-shot strategy to problems, where steady-state solutions are achieved by fixed-point iteration schemes. The one-shot optimization strategy pursues optimality simultaneously with the goals of primal and adjoint feasibility. To exploit the domain specific experience and expertise invested in the simulation tools, we propose to extend them in an automated fashion by the use of automatic differentiation (AD) tools. First, they are automatically augmented with an adjoint solver to obtain (reduced) derivatives and then this sensitivity information is immediately used to determine optimization corrections (© 2010 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim) |
Databáze: | OpenAIRE |
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