Skip to main content

Low-Fidelity Aerostructural Optimization of Aircraft Wings with a Simplified Wingbox Model Using OpenAeroStruct

  • Conference paper
  • First Online:
EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization (EngOpt 2018)

Abstract

It is common for aircraft design studies to begin with low-fidelity tools and move to higher-fidelity tools at later stages. After early conceptual design stages, designers can take advantage of developments in high-fidelity aerodynamic shape optimization, and more recently, coupled aerostructural optimization to improve their designs. Over the past few years, our research group has developed a framework that allows carrying out high-fidelity aerostructural optimization by coupling a RANS CFD solver to an FEM solver that uses shell elements. In addition, we have recently developed OpenAeroStruct, a light-weight and open-source tool for low-fidelity aerostructural optimization that couples a VLM code to an FEM code that uses spatial beam elements. Due to their low cost, such low-fidelity tools remain useful for design studies. In this paper, we present results from OpenAeroStruct for the optimization of a transport aircraft wing and compare them to results from our group’s high-fidelity framework. Additionally, we describe the simplified wingbox model developed and implemented with OpenAeroStruct for this work.

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 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
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

Notes

  1. 1.

    https://github.com/mdolab/OpenAeroStruct.

  2. 2.

    www.openmdao.org.

  3. 3.

    https://github.com/shamsheersc19/OpenAeroStruct/tree/mpt_wingbox.

References

  1. Drela, M.: Development of the D8 transport configuration. In: 29th AIAA Applied Aerodynamics Conference, American Institute of Aeronautics and Astronautics (2011). https://doi.org/10.2514/6.2011-3970

  2. Elham, A., van Tooren, M.J.L.: Coupled adjoint aerostructural wing optimization using quasi-three-dimensional aerodynamic analysis. Struct. Multidiscip. Optim. 54(4), 889–906 (2016). https://doi.org/10.1007/s00158-016-1447-9

    Article  MathSciNet  Google Scholar 

  3. Fujiwara, G.E., Nguyen, N.T.: Aeroestructural design optimization of a subsonic wing with continuous morphing trailing edge. In: 35th AIAA Applied Aerodynamics Conference, American Institute of Aeronautics and Astronautics (2017). https://doi.org/10.2514/6.2017-4218

  4. Vassberg, J.C., DeHaan, M.A., Rivers, S.M., Wahls, R.A.: Development of a common research model for applied CFD validation studies. In: AIAA, p. 6919 (2008). https://doi.org/10.2514/6.2008-6919

  5. Jasa, J.P., Hwang, J.T., Martins, J.R.R.A.: Open-source coupled aerostructural optimization using Python. Struct. Multidiscip. Optim. 57, 1815–1827 (2018). https://doi.org/10.1007/s00158-018-1912-8

    Article  Google Scholar 

  6. Gray, J., Hearn, T., Moore, K., Hwang, J.T., Martins, J.R.R.A., Ning, A.: Automatic evaluation of multidisciplinary derivatives using a graph-based problem formulation in OpenMDAO. In: Proceedings of the 15th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Atlanta (2014). https://doi.org/10.2514/6.2014-2042

  7. Hwang, J.T., Martins, J.R.R.A.: A computational architecture for coupling heterogeneous numerical models and computing coupled derivatives. ACM Transactions on Mathematical Software (2018, in press)

    Google Scholar 

  8. Peherstorfer, B., Beran, P.S., Willcox, K.E.: Multifidelity Monte Carlo estimation for large-scale uncertainty propagation. In: AIAA Non-Deterministic Approaches Conference. American Institute of Aeronautics and Astronautics (2018). https://doi.org/10.2514/6.2018-1660

  9. Tracey, B.D., Wolpert, D.: Upgrading from Gaussian processes to Student’s-t processes. In: AIAA Non-Deterministic Approaches Conference. American Institute of Aeronautics and Astronautics (2018). https://doi.org/10.2514/6.2018-1659

  10. Chaudhuri, A., Jasa, J., Martins, J.R.R.A., Willcox, K.: Multifidelity optimization under uncertainty for a tailless aircraft. In: AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. AIAA SciTech Forum, Orlando, (2018). https://doi.org/10.2514/6.2018-1658

  11. Chauhan, S.S., Hwang, J.T., Martins, J.R.R.A.: An automated selection algorithm for nonlinear solvers in MDO. Structural and Multidisciplinary Optimization (2018, in press). https://doi.org/10.1007/s00158-018-2004-5

  12. Beer, F.P., Johnston, E.R., DeWolf, J.T., Mazurek, D.F.: Mechanics of Materials, 7th edn. McGraw-Hill Education, UK (2014)

    Google Scholar 

  13. Grant, C.: Shear centre of thin-walled sections. J. Strain Anal. Eng. Des. 27(3), 151–155 (1992). https://doi.org/10.1243/03093247v273151

    Article  Google Scholar 

  14. Kreisselmeier, G., Steinhauser, R.: Systematic control design by optimizing a vector performance index. In: International Federation of Active Controls Symposium on Computer-Aided Design of Control Systems, Zurich, (1979). https://doi.org/10.1016/S1474-6670(17)65584-8

  15. Lambe, A.B., Martins, J.R.R.A., Kennedy, G.J.: An evaluation of constraint aggregation strategies for wing box mass minimization. Struct. Multidiscip. Optim. 55(1), 257–277 (2017). https://doi.org/10.1007/s00158-016-1495-1

    Article  MathSciNet  Google Scholar 

  16. Brooks, T.R., Kenway, G.K.W., Martins, J.R.R.A.: Undeflected common research model (uCRM): an aerostructural model for the study of high aspect ratio transport aircraft wings. In: 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Denver (2017). https://doi.org/10.2514/6.2017-4456

  17. Brooks, T.R., Kenway, G.K.W., Martins, J.R.R.A.: Benchmark aerostructural models for the study of transonic aircraft wings. AIAA J. 10(2514/1), J056603 (2018, in press)

    Google Scholar 

  18. Kennedy, G.J., Kenway, G.K.W., Martins, J.R.R.A.: High aspect ratio wing design: optimal aerostructural tradeoffs for the next generation of materials. In: Proceedings of the AIAA Science and Technology Forum and Exposition (SciTech), National Harbor (2014). https://doi.org/10.2514/6.2014-0596

  19. Gill, P.E., Murray, W., Saunders, M.A.: An SQP algorithm for large-scale constrained optimization. Society for Industrial and Applied Mathematics 47(1) (2005). http://www.stanford.edu/group/SOL/papers/SNOPT-SIGEST.pdf

  20. Raymer, D.P.: Aircraft Design: A Conceptual Approach, 4th edn. AIAA, Reston (2006)

    Google Scholar 

  21. Malone, B., Mason, W.: Multidisciplinary optimization in aircraft design using analytic technology models. J. Aircr. 32(2), 431–438 (1995). https://doi.org/10.2514/3.46734

    Article  Google Scholar 

  22. Klimmek, T.: Parametric set-up of a structural model for FERMAT configuration aeroelastic and loads analysis. J. Aeroelasticity Struct. Dyn. 3(2), 31–49 (2014). https://doi.org/10.3293/asdj.2014.27

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

We would like to thank John Jasa for his support with OpenAeroStruct.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shamsheer S. Chauhan .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Chauhan, S.S., Martins, J.R.R.A. (2019). Low-Fidelity Aerostructural Optimization of Aircraft Wings with a Simplified Wingbox Model Using OpenAeroStruct. In: Rodrigues, H., et al. EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization. EngOpt 2018. Springer, Cham. https://doi.org/10.1007/978-3-319-97773-7_38

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-97773-7_38

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-97772-0

  • Online ISBN: 978-3-319-97773-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics