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Coupled Aerostructural Design Optimization Using the Kriging Model and Integrated Multiobjective Optimization Algorithm

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Abstract

The paper develops and implements a highly applicable framework for the computation of coupled aerostructural design optimization. The multidisciplinary aerostructural design optimization is carried out and validated for a tested wing and can be easily extended to complex and practical design problems. To make the framework practical, the study utilizes a high-fidelity fluid/structure interface and robust optimization algorithms for an accurate determination of the design with the best performance. The aerodynamic and structural performance measures, including the lift coefficient, the drag coefficient, Von-Mises stress and the weight of wing, are precisely computed through the static aeroelastic analyses of various candidate wings. Based on these calculated performance, the design system can be approximated by using a Kriging interpolative model. To improve the design evenly for aerodynamic and structure performance, an automatic design method that determines appropriate weighting factors is developed. Multidisciplinary aerostructural design is, therefore, desirable and practical.

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Authors and Affiliations

  1. Department of Mechanical and Aerospace Engineering, ReCAPT, Gyeongsang National University, Gajwadong, 900, Jinju, Gyeongnam, South Korea

    X. B. Lam, Y. S. Kim, A. D. Hoang & C. W. Park

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  1. X. B. Lam
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  2. Y. S. Kim
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  3. A. D. Hoang
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  4. C. W. Park
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Correspondence to C. W. Park.

Additional information

Communicated by K.K. Choi.

The authors acknowledge the support of a Korea Research Foundation Grant funded by the Korean Government and the second stage of Brain Korea 21st project.

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Lam, X.B., Kim, Y.S., Hoang, A.D. et al. Coupled Aerostructural Design Optimization Using the Kriging Model and Integrated Multiobjective Optimization Algorithm. J Optim Theory Appl 142, 533–556 (2009). https://doi.org/10.1007/s10957-009-9520-9

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