Skip to main content
Log in

Aircraft wing box optimization considering uncertainty in surrogate models

  • Industrial Application
  • Published:
Structural and Multidisciplinary Optimization Aims and scope Submit manuscript

Abstract

Aerospace design often involves computationally expensive physics based analysis methods such as Computational Fluid Dynamics (CFD) or the Finite Element Method (FEM). Since conceptual design optimization can require many function evaluations, simplified analysis methods are typically used. Designs optimized with simplified analysis methods may be found to violate design goals when subjected to the high fidelity approaches later in the design process. This paper presents how the uncertainty introduced by an approximation model in the conceptual design of the wing box of a generic light jet can be assessed and managed by applying Reliability Based Design Optimization (RBDO) in order to ensure that a feasible solution is obtained. Additionally, the performance of several alternative RBDO approaches are benchmarked using the wing box conceptual design problem.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  • Allen M, Maute K (2004) Reliability-based design optimization of aeroelastic structures. Struct Multidisc Optim 27(4):228–242

    Article  Google Scholar 

  • Braun RD, Kroo IM (1995) Development and application of the collaborative optimization architecture in a multidisciplinary design environment. Tech. rep., NASA Langley Technical Report Server

  • Braun RD, Gage P, Kroo I, Sobieski I (1996) Implementation and performance issues in collaborative optimization. In: 6th annual AIAA/NASA/ISSMO symposium on multidisciplinary analysis and optimization. AIAA, AIAA

  • Chen X, Hasselman TK, Neill DJ (1997) Reliability based structural design optimization for practical applications. In: Proceedings of the 38th AIAA/ASME/ASCE/AHS/ASC structures, structural dynamics, and materials conference, pp 2724–2732

  • Deb K, Padmanabhan D, Gupta S, Mall A (2007) Reliability-based multi-objective optimization using evolutionary algorithms. In: Evolutionary multi-criterion optimization, pp 66–80

  • DeSalvo GJ, Swanson JA (1979) ANSYS user’s manual. Swanson Analysis Systems, Inc

  • Du X, Chen W (2004) Sequential optimization and reliability assessment method for efficient probabilistic design. In: Transactions—American Society of Mechanical Engineers Journal of Mechanical Design, pp 225–233

  • Jin R, Chen W, Simpson T (2001) Comparative studies of metamodelling techniques under multiple modelling criteria. Struct Multidisc Optim 23:1–13

    Article  Google Scholar 

  • Liang J, Mourelatos ZP, Tu J (2008) A single-loop method for reliability-based design optimisation. Int J Prod Dev 5(1):76–92

    Article  Google Scholar 

  • Lin J (2004) Analysis and enhancement of collaborative optimization for multidisciplinary design. AIAA J 42:348–360

    Article  Google Scholar 

  • Ramu P, Qu X, Youn BD, Haftka RT (2006) Inverse reliability measures and reliability-based design optimisation. Int J Reliab Saf 1(1):187–205

    Article  Google Scholar 

  • Roux WJ, Stander N, Haftka RT (1998) Response surface approximations for structural optimization. Int J Numer Methods Eng 42(3):517–534

    Article  MATH  Google Scholar 

  • Smith N, Mahadevan S (2003) Probabilistic methods for aerospace system conceptual design. J Spacecr Rockets 40(3):411–418

    Article  Google Scholar 

  • Tu J, Choi KK, Park YH (1999) A new study on reliability-based design optimization. J Mech Des 121:557–564

    Article  Google Scholar 

  • Venter G, Haftka RT, Starnes JH (1998) Construction of response surface approximations for design optimization. AIAA J 36:2242–2249

    Article  Google Scholar 

  • Wu YT, Wang W (1998) Efficient probabilistic design by converting reliability constraints to approximately equivalent deterministic constraints. J Integrated Des Process Sci 2(4):13–21

    Google Scholar 

  • Wu YT, Shin Y, Sues RH, Cesare MA (2001) Safety-factor based approach for probability-based design optimization. In: 42nd AIAA/ASME/ASCE/AHS/ASC structures, structural dynamics, and materials conference and exhibit. Seattle, WA

  • Yang R, Gu L (2004) Experience with approximate reliability-based optimization methods. Struct Multidisc Optim 26(1):152–159

    Article  Google Scholar 

  • Yang RJ, Chuang C, Gu L, Li G (2004) Numerical experiments of reliability-based optimization methods. In: Proceedings of the 45th AIAA/ASME/ASCE/AHS/ASC structures, structural dynamics, and materials conference, vol 7, pp 5393–5405

  • Youn BD, Choi KK (2004) Selecting probabilistic approaches for reliability-based design optimization. AIAA J 42(1):124–131

    Article  Google Scholar 

  • Youn B, Choi K, Yang R, Gu L (2004) Reliability-based design optimization for crashworthiness of vehicle side impact. Struct Multidisc Optim 26:272–283

    Article  Google Scholar 

  • Yu X, Choi KK, Chang KH (1997) A mixed design approach for probabilistic structural durability. Struct Multidisc Optim 14:81–90

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Daniel Neufeld.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Neufeld, D., Behdinan, K. & Chung, J. Aircraft wing box optimization considering uncertainty in surrogate models. Struct Multidisc Optim 42, 745–753 (2010). https://doi.org/10.1007/s00158-010-0532-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00158-010-0532-8

Keywords

Navigation