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Multidisciplinary Code Coupling for Analysis and Optimization of Aeroelastic Systems
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BibTeX
@MISC{Nikbay_multidisciplinarycode,
author = {Melike Nikbay and Levent Öncü and Ahmet Aysan},
title = {Multidisciplinary Code Coupling for Analysis and Optimization of Aeroelastic Systems},
year = {}
}
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Abstract
This paper presents a practical methodology for static aeroelastic analysis and aeroelastic optimization via coupling of high-fidelity commercial codes. A finite-volume-based flow solver FLUENT is used to solve threedimensional Euler equations, Gambit is used to generate mesh in the fluid domain, and CATIA is used to model parametric solid geometry. Abaqus, a structural finite element method solver, is used to compute the structural response of the aeroelastic system. The mesh-based parallel-code coupling interface MpCCI is used to exchange the pressure and displacement information between FLUENT and Abaqus to perform a loosely coupled aeroelastic analysis by a staggered algorithm, and modeFRONTIER software is used as the optimization driver for scheduling a nondominated sorting genetic algorithm initiated with design of experiments. First, an AGARD 445.6 wing configuration is optimized with objectives of maximum lift/drag ratio and minimum weight. Optimization variables are chosen as sweep angle at the quarter-chord and the taper ratio of the wing. Second, a more realistic wing model, ARW-2, is optimized for thickness values of the inner ribs and spars. Aeroelastic analysis produce consistent results with experimental data, and the applied optimization methodology results in Pareto-optimal solutions. Nomenclature croot = chord of the wing root ctip = chord of the wing tip
Keyphrases
aeroelastic system multidisciplinary code coupling aeroelastic analysis consistent result optimization variable realistic wing model nomenclature croot chord applied optimization methodology result sweep angle aeroelastic optimization fluid domain high-fidelity commercial code root ctip chord experimental data threedimensional euler equation taper ratio mesh-based parallel-code optimization driver minimum weight modefrontier software maximum lift drag ratio staggered algorithm practical methodology thickness value static aeroelastic analysis nondominated sorting genetic algorithm wing tip finite-volume-based flow solver fluent structural finite element method solver pareto-optimal solution interface mpcci inner rib structural response parametric solid geometry displacement information
