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Multilevel Optimisation of Panels Under Complex Loading Conditions.pdf (1.55 MB)

Multilevel optimization of composite panels under complex load and boundary conditions

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posted on 2015-06-19, 09:16 authored by Carol A. Featherston, Andrew WatsonAndrew Watson
Due to their complexity and large numbers of design variables, aerospace structures, such as aircraft wings, are best optimized using a multi-level process. In addition to simplifying the optimization procedure, such an approach allows a combination of different methods to be used, increasing the efficiency of the analysis. This paper presents a technique based on the usage of exact finite strip software, VICONOPT, with the finite element analysis package, ABAQUS. The computer programme VICONOPT is computationally efficient but provides solutions for a restricted range of geometries and loading conditions. Finite element analysis allows accurate models of structures with complex geometries to be created but is computationally expensive. By combining the two, these limitations are minimised, whilst the strengths of each are exploited. The fundamental principles of this multi-level procedure are demonstrated by optimizing a series of curved composite panels under combined shear and in-plane bending subject to buckling constraints.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

Structural and Multidisciplinary Optimization

Volume

36

Issue

(1)

Pages

15 - 27

Citation

FEATHERSTON, C.A. and WATSON, A., 2008. Multilevel optimization of Composite panels under complex load and boundary conditions. Structural and Multidisciplinary Optimization, 36 (1), pp. 15 - 27.

Publisher

© Springer-Verlag

Version

  • SMUR (Submitted Manuscript Under Review)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2008

Notes

This article was submitted for publication in the journal Structural and Multidisciplinary Optimization. The final publication is available at Springer via http://dx.doi.org/10.1007/s00158-007-0181-8

ISSN

1615-147X

Language

  • en

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