Multidisciplinary code coupling for analysis and optimization of aeroelastic systems

Melike Nikbay*, Levent Öncü, Ahmet Aysan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

35 Citations (Scopus)


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 three-dimensional 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.

Original languageEnglish
Pages (from-to)1938-1944
Number of pages7
JournalJournal of Aircraft
Issue number6
Publication statusPublished - 2009


The three authors of this paper would like to thank TUBITAK (The Scientific and Technological Research Council of Turkey) for the research fund provided through 3501 National Young Researchers Career Development Program for the project titled “Analysis and Reliability Based Design Optimization of fluid–structure Interaction Problems Subject to Instability Phenomena” with grant number 105M235. The three authors would like to thank Istanbul Technical University Informatics Institute High Performance Computing Laboratory. The first author would like to thank to Thuan Lieu for reviewing this paper.

FundersFunder number
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu105M235


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