Skip to main content

Development of the Adjoint Approach for Aeroelastic Wing Optimization

  • Chapter
New Results in Numerical and Experimental Fluid Mechanics VIII

Abstract

In the context of gradient-based optimization techniques for coupled aero-structure problems an efficient approach was sought to evaluate the gradient of the cost function with respect to the design variables; also called the sensitivities. The traditional approach to calculate the sensitivities, the finite differences, can become prohibitively expensive in high-fidelity optimizations context. For this reason an existing flow adjoint approach was further developed in order to suit coupled aero-structural systems. Then the developed approach was evaluated and tested. The results showed that the approach can provide accurate sensitivities in a very efficient way.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Martins, J., Alonso, J., Reuther, J.: A Coupled-Adjoint Sensitivity Analysis Method for High-Fidelity Aero-Structural Design. Optimization and Engineering 6, 33–62 (2005)

    Article  MATH  Google Scholar 

  2. Dwight, R.: Efficiency Improvements of RANS-Based Analysis and Optimization using Implicit and Adjoint Methods on Unstructured Grids, DLR Forschungsbericht (2006)

    Google Scholar 

  3. Brezillon, J., Dwight, R.: Aerodynamic Shape Optimization Using the Discrete Adjoint of the Navier-Stokes Equations: Application towards Complex 3D Configurations. KATnet paper (2009)

    Google Scholar 

  4. Brezillon, J., Abu-Zurayk, M.: Aerodynamic Inverse Design Framework using Discrete Adjoint Method. In: 17 DGLR-Fach-Symposium der STAB, November 9-10, Berlin (2010)

    Google Scholar 

  5. Jakobsson, S., Amoignon, O.: Mesh Deformation using Radial Basis Function for Gradient-based Aerodynamic Shape Optimization. FOI-R–1784–SE (2005)

    Google Scholar 

  6. Widhalm, M., Brezillon, J., Ilic, C., Leicht, T.: Investigation on Adjoint Based Gradient Computations for Realistic 3d Aero-Optimization. In: 13th AIAA/ISSMO Multidisciplinary Analysis Optimization Conference, Fort Worth, Texas, September 13-15 (2010)

    Google Scholar 

  7. Ronzheimer, A.: Shape Parametrization Using Freeform Deformation. In: MEGAFLOW - Numerical Flow Simulation for Aircraft Design, vol. 89, pp. 211–222. Springer (2005); Closing Presentation DLR Project MEGAFLOW, Braunschweig (de), December 10-11 (2002) ISBN 3-540-24383-6

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mohammad Abu-Zurayk .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Abu-Zurayk, M., Brezillon, J. (2013). Development of the Adjoint Approach for Aeroelastic Wing Optimization. In: Dillmann, A., Heller, G., Kreplin, HP., Nitsche, W., Peltzer, I. (eds) New Results in Numerical and Experimental Fluid Mechanics VIII. Notes on Numerical Fluid Mechanics and Multidisciplinary Design, vol 121. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35680-3_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-35680-3_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35679-7

  • Online ISBN: 978-3-642-35680-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics