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Efficient Parallel Algoritm for multiconstrained of wing body configurations

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Part of the book series: Lecture Notes in Computational Science and Engineering ((LNCSE,volume 67))

Abstract

It is generally expected in aircraft industry that automatic or even semi-automatic optimizers may essentially shorten the process of aerodynamic design, design, especially at the preliminary design stage, which may cost above 100 million USD [1]. Alongside the reduction in the design costs, accurate optimizers may imporve the quality of design making the project more competitive.

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References

  1. Jameson, A., Martinelli, L., and Vassberg, J., “Using Computational Fluid Dynamics for Aerodynamics - a Critical Assessment”, Proceedings of ICAS 2002, Paper ICAS 2002–1.10.1, Optimage Ltd., Edinburgh, Scotland, U.K., 2002.

    Google Scholar 

  2. Jameson, A., “Optimum Aerodynamic Design Using Control Theory”, CFD Review, Wiley, New-York, 1995, pp.495–528.

    Google Scholar 

  3. Mohammadi, B., and Pironneau, O., Applied Shape Optimization for Fluids, Oxford, Oxford University Press, 2001.

    MATH  Google Scholar 

  4. Obayashi, S., Yamaguchi, Y. and Nakamura, T., Multiobjective Genetic Algorithm for Multidisciplinary Design of Transonic Wing Planform. Journal of Aircraft, Vol. 34, No. 5, 1997, pp.690–693.

    Article  Google Scholar 

  5. Epstein, B., and Peigin, S., “Constrained Aerodynamic Optimization od Three-Dimensional Wings Driven by Navier-Stokes Computations”, AIAA Journal, Vol. 43, No. 9, 2005, pp.1946–1957.

    Article  Google Scholar 

  6. Epstein, B., Rubin, T., and Seror, S., “Accurate Multiblock Navier-Stokes Solver for Complex Aerodynamic Configurations. AIAA Journal, Vol. 41, No. 4, 2003, pp.582–594.

    Article  Google Scholar 

  7. Michalewicz, Z., Genetic Algorithms + Data Structures = Evolution Programs, Springer Verlag, New-York, 1996.

    MATH  Google Scholar 

  8. Peigin, S. and Epstein, B., “Robust Handling of Non-linear Constraints for GA Optimization of Aerodynamic Shapes”, Int. J. Numer. Meth. Fluids, Vol. 45, No. 8, 2004, pp.1339–1362.

    Google Scholar 

  9. Peigin, S., and Epstein, B., “Embedded Parallelization Approach for Optimization in Aerodynamic Design”, The Journal of Supercomputing, Vol. 29, No. 3, 2004, pp.243–263.

    Article  Google Scholar 

  10. Carr, M., Palister, K., “Pressure Distribution Measured on Research Wing M100 Mounted on an Axisymmetric Body”, AGARD, AR-138, Addendum, 1984.

    Google Scholar 

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© 2009 Springer-Verlag Berlin Heidelberg

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Peigin, S., Epstein, B. (2009). Efficient Parallel Algoritm for multiconstrained of wing body configurations. In: Parallel Computational Fluid Dynamics 2007. Lecture Notes in Computational Science and Engineering, vol 67. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92744-0_10

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