Skip to main content

Application of Aerodynamic Optimization in a Multi-fidelity Distributed Overall Aircraft Design System

  • Conference paper
  • First Online:
The Proceedings of the 2018 Asia-Pacific International Symposium on Aerospace Technology (APISAT 2018) (APISAT 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 459))

Included in the following conference series:

Abstract

This paper presents a multi-fidelity distributed aircraft design process using fully automated Computational Fluid Dynamic (CFD) analysis and optimization aiming to provide better prediction of aircraft characteristics in the early aircraft design stages for both conventional and unconventional aircraft configurations. Gradient based optimization algorithm in conjunction with adjoint sensitive analysis method is employed to tackle the more detailed shape arising with the increasing fidelity of the aerodynamic analysis tool. The design process is applied to a short-range transport aircraft. The design synthesis is applied to the original and redesigned configuration and the comparison of the synthesised aircraft characteristics highlight the effect of the shape design in the aircraft design process.

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
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

References

  1. Secretariat (2010) Icao environmental report 2010: Aviation outlook

    Google Scholar 

  2. Peeters P, Middel J, Hoolhorts A (2000) Fuel efficiency of commercial aircraft: An overview of historical and future trends, National Aerospace Laboratory NLR: Amsterdam, no. November, pp 1–37, 2005. Slifka MK, Whitton JL (2000) Clinical implications of dysregulated cytokine production. J Mol Med, https://doi.org/10.1007/s001090000086

    Article  Google Scholar 

  3. Liebeck RH (2004) Design of the blended wing body subsonic transport. J Aircr 41(1), 10–25. 5. South J, Blass B (2001) The Future of Modern Genomics. Blackwell, London

    Google Scholar 

  4. Gundlach JF, Philippe-André Té T, Gern FH, Nagshineh-Pour AH, Ko A, Schetz JA, Mason WH, Kapania RK et al (2000) Conceptual design studies of a strut-braced wing transonic transport. J Aircr 37(6):976–983

    Article  Google Scholar 

  5. Agile innovation project. http://www.agile-project.eu/. Accessed 24 July 2018

  6. Ting E, Reynolds K, Nguyen N, Totah J (2014) Aerodynamic analysis of the truss braced wing aircraft using vortex-lattice superposition approach. In: 32nd AIAA Applied Aerodynamics Conference, Atlanta, GA

    Google Scholar 

  7. Gu X, Ciampa PD, Nagel B (2015) An automated CFD analysis workflow in overall aircraft design applications. In: The International Conference of the European Aerospace Societies (CEAS), Delft, Netherlands

    Google Scholar 

  8. Lambe AB, Martins JR (2012) Extensions to the design structure matrix for the description of multidisciplinary design, analysis, and optimization processes. Struct Multi Optim 46(2):273–284

    Article  Google Scholar 

  9. Böhnke D (2015) A Multi-Fidelity Workflow to Derive Physics-Based Conceptual Design Methods. PhD thesis, Technische Universität Hamburg-Harburg

    Google Scholar 

  10. Slotnick J, Khodadoust A, Alonso J, Darmofal D, Gropp W, Lurie E, Mavriplis D (2014) Cfd vision 2030 study: a path to revolutionary computational aerosciences. Mchenry County Natural Hazards Mitigation Plan

    Google Scholar 

  11. Ciampa PD, Zill T, Nagel B (2012) Aeroelastic design and optimization of unconventional aircraft configurations in a distributed design environment. In: 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 20th AIAA/ASME/AHS Adaptive Structures Conference 14th AIAA, Honolulu, Hawaii, p 1925

    Google Scholar 

  12. Zill T, Ciampa PD, Nagel B (2013) A collaborative MDO approach for the flexible aircraft. In: 54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, p 1677

    Google Scholar 

  13. Cpacs at github. https://github.com/DLR-LY/CPACS. Accessed 24 July 2018

  14. Tigl overview. http://tigl.sourceforge.net/Doc/. Accessed 24 July 2018

  15. Aiaa aerodynamic design optimization discussion group. https://info.aiaa.org/tac/ASG/APATC/AeroDesignOpt-DG

  16. Lyu Z, Kenway GK, Paige C, Martins J (2013) Automatic differentiation adjoint of the reynolds-averaged navier-stokes equations with a turbulence model. In: 21st AIAA Computational Fluid Dynamics Conference, Fluid Dynamics and Co-located Conferences, AIAA p 2581

    Google Scholar 

  17. LeDoux ST, Vassberg JC, Young D, Fugal S, Kamenetskiy D, Huffman WP, Melvin R, Smith MF (2015) Study based on the AIAA aerodynamic design optimization discussion group test cases. AIAA J 53:1–26. https://doi.org/10.2514/1.j053535

    Article  Google Scholar 

  18. Sederberg TW, Parry SR (1986) Free-form deformation of solid geometric models. ACM SIGGRAPH Comput Graph 20(4):151–160

    Article  Google Scholar 

  19. Martins JRRA, Alonso JJ, Reuther JJ (2005) A coupled-adjoint sensitivity analysis method for high-fidelity aero-structural design. Optim Eng 6(1):33–62

    Article  Google Scholar 

  20. Liem RP, Kenway GKW, Martins JRRA (2015) Multimission aircraft fuel-burn minimization via multipoint aero structural optimization. AIAA Journal 53(1):104–122

    Article  Google Scholar 

  21. Palacios F, Economon TD, Wendorff AD et al (2015) Large-scale aircraft design using SU2. In: 53st AIAA Aerospace Sciences Meeting, p 1946

    Google Scholar 

  22. Economon TD, Palacios F, Copeland SR, Lukaczyk TW, Alonso JJ (2015) SU2: An open-source suite for multiphysics simulation and design. AIAA J 54(3):828–846

    Article  Google Scholar 

  23. Jones E, Oliphant T, Peterson P et al (2001) SciPy: Open source scientific tools for Python. Accessed 24 July 2018

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xiangyu Gu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Gu, X., Liu, L., Ciampa, P.D., Fu, Y. (2019). Application of Aerodynamic Optimization in a Multi-fidelity Distributed Overall Aircraft Design System. In: Zhang, X. (eds) The Proceedings of the 2018 Asia-Pacific International Symposium on Aerospace Technology (APISAT 2018). APISAT 2018. Lecture Notes in Electrical Engineering, vol 459. Springer, Singapore. https://doi.org/10.1007/978-981-13-3305-7_4

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-3305-7_4

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3304-0

  • Online ISBN: 978-981-13-3305-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics