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Optimization of postbuckled stiffened panels with multiple stiffener sizes

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conference contribution
posted on 2011-07-28, 12:12 authored by Andrew WatsonAndrew Watson, Carol A. Featherston, David Kennedy
The panel analysis and optimization code VICONOPT, based on exact strip theory, is utilized to investigate the optimum design of stiffened panels with multiple stiffener sizes or substiffeners. The optimization ensures that the buckling stability of the panel includes an allowance for postbuckling reserve of strength. The adoption of this approach necessarily results in the local buckling stress being lower than the overall buckling stress and with the introduction of substiffeners introduces extra buckling modes. This complicates the post buckling behavior of the panel which is investigated by examining the case when the smaller stiffeners lose stiffness, i.e. there is a change from a local to a torsional mode. The panels are loaded in axial compression with a sinusoidal imperfection. It is found that small mass savings are achieved by using stiffeners of more than one size and there is an increase in the spacing of the major stiffeners and transverse supports. The optimum panel designs obtained by VICONOPT are evaluated by comparison with the optimum designs produced with one size of stiffener.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Citation

WATSON, A., FEATHERSTON, C.A. and KENNEDY, D., 2007. Optimization of postbuckled stiffened panels with multiple stiffener sizes. IN: 48th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Honolulu, Hawaii, 23 - 26 Apr., 8pp.

Publisher

© American Institute of Aeronautics and Astronautics (AIAA)

Version

  • AM (Accepted Manuscript)

Publication date

2007

Notes

This is a conference paper. It was presented at the 48th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference [© AIAA].

ISBN

1563474352

Publisher version

Book series

AIAA;2007-2207

Language

  • en

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