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Automatic Differentiation for Optimum Design, Applied to Sonic Boom Reduction

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2668))

Abstract

We propose a methodology for adjoint-based optimum design that combines hand-coding with Automatic Differentiation in the reverse mode, therefore managing to keep the memory cost acceptable. This methodology also involves improvements to the reverse mode differentiation, based on dataflow information on the original program. We validate the method on a real-size 3D optimum design problem: reducing the sonic boom under a supersonic aircraft.

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References

  1. Griewank, A.: Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation. SIAM (2000)

    Google Scholar 

  2. Corliss, G., Faure, C., Griewank, A., Hascoet, L., Naumann, U. (editors): Automatic Differentiation of Algorithms, from Simulation to Optimization. Springer (2002) Selected proceedings of AD2000, Nice, France.

    Google Scholar 

  3. Hascoet, L., Fidanova, S., Held, C.: Adjoining independent computations. in [2] (2001) 185–190

    Google Scholar 

  4. Hascoet, L., Greborio, R.M., Pascual, V.: Computing adjoints by Automatic Differentiation with tapenade. Research report to appear, INRIA (2003) On-line documentation on www-sop.inria.fr/tropics/tapenade.html.

    Google Scholar 

  5. Vázquez, M., Dervieux, A., Koobus, B.: Aerodynamical and sonic boom optimization of a supersonic aircraft. Research report 4520, INRIA (2002)

    Google Scholar 

  6. Huffman, W., Melvin, D., Young, D., Johnson, F., Bussoletti, J., Bieterman, M., Hilmes, C.: Practical design and optimization in computational fluid dynamics. AIAA paper 93-3111 (1993)

    Google Scholar 

  7. Mortchelewicz, G.: Résolution des équations d’Euler tridimensionnelles instationnaires en maillages non structurés. La Recherche Aérospatiale 6 (1991) 17–25

    Google Scholar 

  8. Seebas, R., Argrow, B.: Sonic boom minimization revisited. AIAA paper 98-2956 (1998)

    Google Scholar 

  9. Maglieri, D., Plotkin, K.: Aeroacoustics of flight vehicles: theory and practice. Acoustical Society of America publications (1991)

    Google Scholar 

  10. Stoufflet, B., Periaux, J., Fezoui, L., Dervieux, A.: 3-D hypersonic Euler numerical simulation around space vehicles using adapted finite elements. AIAA paper 86-0560 (1987) 25th AIAA Aerospace Meeting, Reno, Nevada.

    Google Scholar 

  11. Jameson, A.: Aerodynamic design via control theory. Journal of Scientific Computing 3 (1988) 233–260

    Google Scholar 

  12. Courty, F., Dervieux, A., Koobus, B., Hascoet, L.: Reverse Automatic Differentiation for optimum design: from adjoint state assembly to gradient computation. Research report 4363, INRIA (2002)

    Google Scholar 

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© 2003 Springer-Verlag Berlin Heidelberg

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Hascoët, L., Vázquez, M., Dervieux, A. (2003). Automatic Differentiation for Optimum Design, Applied to Sonic Boom Reduction. In: Kumar, V., Gavrilova, M.L., Tan, C.J.K., L’Ecuyer, P. (eds) Computational Science and Its Applications — ICCSA 2003. ICCSA 2003. Lecture Notes in Computer Science, vol 2668. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44843-8_10

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  • DOI: https://doi.org/10.1007/3-540-44843-8_10

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40161-2

  • Online ISBN: 978-3-540-44843-3

  • eBook Packages: Springer Book Archive

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