High-fidelity multi-criteria aero-structural optimisation using hierarchical parallel evolutionary algorithms

L. F. González; L. Damp; J. Périaux; K. Srinivas

doi:10.1007/978-3-540-92779-2_85

High-fidelity multi-criteria aero-structural optimisation using hierarchical parallel evolutionary algorithms

L. F. González, L. Damp, J. Périaux, K. Srinivas

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

Abstract

This paper describes a parallel multi-criteria (multi-objective) evolutionary algorithm for aero-structural problems. The foundations of the algorithm are based upon traditional evolution strategies and incorporate the concepts of a multi-objective optimisation, hierarchical topology, asynchronous evaluation and parallel computing. The algorithm works as a black-box optimiser and has been coupled to several aerodynamic and aircraft conceptual design solvers such as a higher order panel method, a commercial FEA solver and an automated aerodynamic and structural mesh generation program. In this automated process the optimiser defines design variables from which the geometry, both internal and external, is generated and then analysed by the aerodynamic solver. The pressure forces are mapped into the structural model. Single or multiple objectives can be defined to find non-dominated-Pareto optimal solutions or the Nash equilibrium. The parallel computing capabilities in combination with hierarchical levels of aerodynamic and FEA solvers are exploited to reduce computational expense. Applications and results on the use of the methodology are illustrated on the aero-structural analysis of a high aspect ratio aircraft/UAV wing.

Original language	English
Title of host publication	Computational Fluid Dynamics 2006 - Proceedings of the Fourth International Conference on Computational Fluid Dynamics, ICCFD 2006
Place of Publication	Heidelberg; New York
Publisher	Springer, Springer Nature
Pages	543-548
Number of pages	6
ISBN (Electronic)	9783540927792
ISBN (Print)	9783540927785
DOIs	https://doi.org/10.1007/978-3-540-92779-2_85
Publication status	Published - 2009
Event	4th International Conference on Computational Fluid Dynamics, ICCFD 2006 - Ghent, Belgium Duration: 10 Jul 2006 → 14 Jul 2006

Other

Other	4th International Conference on Computational Fluid Dynamics, ICCFD 2006
Country/Territory	Belgium
City	Ghent
Period	10/07/06 → 14/07/06

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10.1007/978-3-540-92779-2_85

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González, L. F., Damp, L., Périaux, J., & Srinivas, K. (2009). High-fidelity multi-criteria aero-structural optimisation using hierarchical parallel evolutionary algorithms. In Computational Fluid Dynamics 2006 - Proceedings of the Fourth International Conference on Computational Fluid Dynamics, ICCFD 2006 (pp. 543-548). Springer, Springer Nature. https://doi.org/10.1007/978-3-540-92779-2_85

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abstract = "This paper describes a parallel multi-criteria (multi-objective) evolutionary algorithm for aero-structural problems. The foundations of the algorithm are based upon traditional evolution strategies and incorporate the concepts of a multi-objective optimisation, hierarchical topology, asynchronous evaluation and parallel computing. The algorithm works as a black-box optimiser and has been coupled to several aerodynamic and aircraft conceptual design solvers such as a higher order panel method, a commercial FEA solver and an automated aerodynamic and structural mesh generation program. In this automated process the optimiser defines design variables from which the geometry, both internal and external, is generated and then analysed by the aerodynamic solver. The pressure forces are mapped into the structural model. Single or multiple objectives can be defined to find non-dominated-Pareto optimal solutions or the Nash equilibrium. The parallel computing capabilities in combination with hierarchical levels of aerodynamic and FEA solvers are exploited to reduce computational expense. Applications and results on the use of the methodology are illustrated on the aero-structural analysis of a high aspect ratio aircraft/UAV wing.",

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González, LF, Damp, L, Périaux, J & Srinivas, K 2009, High-fidelity multi-criteria aero-structural optimisation using hierarchical parallel evolutionary algorithms. in Computational Fluid Dynamics 2006 - Proceedings of the Fourth International Conference on Computational Fluid Dynamics, ICCFD 2006. Springer, Springer Nature, Heidelberg; New York, pp. 543-548, 4th International Conference on Computational Fluid Dynamics, ICCFD 2006, Ghent, Belgium, 10/07/06. https://doi.org/10.1007/978-3-540-92779-2_85

High-fidelity multi-criteria aero-structural optimisation using hierarchical parallel evolutionary algorithms. / González, L. F.; Damp, L.; Périaux, J. et al.
Computational Fluid Dynamics 2006 - Proceedings of the Fourth International Conference on Computational Fluid Dynamics, ICCFD 2006. Heidelberg; New York: Springer, Springer Nature, 2009. p. 543-548.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AB - This paper describes a parallel multi-criteria (multi-objective) evolutionary algorithm for aero-structural problems. The foundations of the algorithm are based upon traditional evolution strategies and incorporate the concepts of a multi-objective optimisation, hierarchical topology, asynchronous evaluation and parallel computing. The algorithm works as a black-box optimiser and has been coupled to several aerodynamic and aircraft conceptual design solvers such as a higher order panel method, a commercial FEA solver and an automated aerodynamic and structural mesh generation program. In this automated process the optimiser defines design variables from which the geometry, both internal and external, is generated and then analysed by the aerodynamic solver. The pressure forces are mapped into the structural model. Single or multiple objectives can be defined to find non-dominated-Pareto optimal solutions or the Nash equilibrium. The parallel computing capabilities in combination with hierarchical levels of aerodynamic and FEA solvers are exploited to reduce computational expense. Applications and results on the use of the methodology are illustrated on the aero-structural analysis of a high aspect ratio aircraft/UAV wing.

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González LF, Damp L, Périaux J, Srinivas K. High-fidelity multi-criteria aero-structural optimisation using hierarchical parallel evolutionary algorithms. In Computational Fluid Dynamics 2006 - Proceedings of the Fourth International Conference on Computational Fluid Dynamics, ICCFD 2006. Heidelberg; New York: Springer, Springer Nature. 2009. p. 543-548 doi: 10.1007/978-3-540-92779-2_85

High-fidelity multi-criteria aero-structural optimisation using hierarchical parallel evolutionary algorithms

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