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A two-level procedure based on genetic algorithms to optimize an aeronautical composite structure

Authors:

Leonardo D. Chiwiacowsky,

Paolo Gasbarri,

Riccardo Monti,

Haroldo F. C. Velho,

Arthur T. GómezAuthors Info & Claims

SAC '12: Proceedings of the 27th Annual ACM Symposium on Applied Computing

Pages 259 - 260

https://doi.org/10.1145/2245276.2245327

Published: 26 March 2012 Publication History

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Abstract

Optimal design of complex engineering systems, such as aircraft composite structures, can often be accomplished only by applying decomposition techniques. In this paper, the optimal design of a composite wing-box is addressed by using a two-level scheme based on the Genetic Algorithm meta-heuristic. The two-level optimization strategy was evaluated for variations both in the angular step of the composite layers and in the strength of material.

References

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P. Gasbarri, L. Chiwiacowsky, and H. Campos Velho. A hybrid multilevel approach for aeroelastic optimization of composite wing-box. Structural and Multidisciplinary Optimization, 39: 607--624, 2009.

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Z. Michalewicz. Genetic algorithms + data structures = evolution programs. Springer-Verlag, Berlin, 1996.

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P. Santini and P. Gasbarri. Structural dynamics of a cantilever wing-like anisotropic swept plate wings. Journal of Reinforced Plastic and Composite, 19, No. 14: 1112--1146, 2000.

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J. Sobieszczanski-Sobieski, B. James, and A. Dovi. Structural optimization by multilevel decomposition. AIAA Journal, 23, No. 11: 1775--1782, 1985.

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A two-level procedure based on genetic algorithms to optimize an aeronautical composite structure
1. Mathematics of computing
  1. Mathematical analysis
2. Theory of computation
  1. Design and analysis of algorithms

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Published In

SAC '12: Proceedings of the 27th Annual ACM Symposium on Applied Computing

March 2012

2179 pages

ISBN:9781450308571

DOI:10.1145/2245276

Conference Chairs:
Sascha Ossowski
University Rey Juan Carlos, Spain
,
Paola Lecca
The Microsoft Research - University of Trento COSBI, Italy

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 March 2012

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Funding Sources

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Conference

SAC 2012

Sponsor:

SIGAPP

SAC 2012: ACM Symposium on Applied Computing

March 26 - 30, 2012

Trento, Italy

Acceptance Rates

SAC '12 Paper Acceptance Rate 270 of 1,056 submissions, 26%;

Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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