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An aerodynamic optimization computational framework using genetic algorithms

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Journal of the Brazilian Society of Mechanical Sciences and Engineering Aims and scope Submit manuscript

Abstract

The present paper describes the efforts on the construction of a computational framework for 2-D and 3-D aerodynamic optimizations. The creation of the framework is an attempt to generate a design environment capable of coupling various tools from different levels of complexity and with diverse functionalities. The conceptual framework is developed to be inserted into daily activities of an aerodynamic computational fluid dynamics group. The framework is implemented for both Windows and Linux-running platforms, and it is augmented by a user-friendly graphical interface. Usage of the framework is illustrated in the paper by 2-D and 3-D aerodynamic optimization of cruise configurations for different flight conditions. The test cases addressed mainly have the objective of demonstrating that the proposed framework is a useful tool for aerodynamic optimization applications. The aspects investigated include the influence on the aerodynamic coefficients of the methodology used for configuration parameterization and the benefits of the solver fidelity level as compared to the computational cost. Moreover, the use of a neural network is evaluated to analyze the benefits that this methodology can bring to the implemented framework in terms of computational cost.

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Acknowledgments

The authors gratefully acknowledge the partial support for this research provided by Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq, under the Research Grants No. 309985/2013-7, No. 400844/2014-1 and No. 443839/2014-0. The authors are also indebted to the partial financial support received from Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP, under the Research Grant No. 2013/07375-0.

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  1. Alexandre P. Antunes

    Present address: Embraer S.A., Av. Brig. Faria Lima, 2170, São José dos Campos, SP, 12227-901, Brazil

Authors and Affiliations

  1. Department of Computer Science, Instituto Tecnológico de Aeronáutica, São José dos Campos, SP, 12228-900, Brazil

    Alexandre P. Antunes

  2. Aerodynamics Division, Instituto de Aeronáutica e Espaço, São José dos Campos, SP, 12228-904, Brazil

    João Luiz F. Azevedo

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  1. Alexandre P. Antunes
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  2. João Luiz F. Azevedo
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Correspondence to João Luiz F. Azevedo.

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Technical Editor: F. A. Rochinha.

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Antunes, A.P., Azevedo, J.L.F. An aerodynamic optimization computational framework using genetic algorithms. J Braz. Soc. Mech. Sci. Eng. 38, 1037–1058 (2016). https://doi.org/10.1007/s40430-015-0445-y

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  • DOI: https://doi.org/10.1007/s40430-015-0445-y

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