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Postbuckling Analysis of Composite Laminated Panels

Authors: D. J. Dawe; S. Wang;

Postbuckling Analysis of Composite Laminated Panels

Abstract

A description is given of the development of a spline e nite strip method for predicting the response of composite laminated, prismatic panels to a progressive uniform end shortening. The response is assumed to be geometrically nonlinear, with the nonlinearity introduced in enhanced strain ‐displacement equations in a total Langrangian approach. The set of nonlinear equilibrium equations, obtained by appropriate energy minimization, is solved using the Newton ‐Raphson method. The development of the properties of a e at e nite strip is made in the contexts of both e rst-order shear deformation plate theory and classical plate theory, and a number of strip models is available corresponding to different displacement e elds. Presented applications concern a box section and several longitudinally stiffened panels that include curved panels modeled as faceted shells. Comparison of the e nite strip predictions is made, where possible, with results from other sources, and such comparison is shown to be close.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Top 10%
Top 10%
Average
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