Buckling of Long, Thin Inflatable Cylinders Loaded in Axial Compression

Breivik, Nicole L.; Watson, Judith J.; Ambur, Damodar R.

doi:10.2514/6.2003-1841

Cited by 1 publication

(1 citation statement)

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“…This scheme focused on the whole deformation behaviors and local wrinkled region. In the second scheme, the structure was modeled with shell elements, and the nonlinear behaviors were analyzed by using a post-buckling analysis [10][11][12][13]. In this scheme, the local wrinkling characteristics, including wrinkling amplitude, wrinkling wavelength, and wrinkling stress, were the major considerations.…”

Section: Introductionmentioning

confidence: 99%

Pseudo-beam method for compressive buckling characteristics analysis of space inflatable load-carrying structures

Wang

Tan

2009

Acta Mech Sin

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This paper extends Le van's work to the case of nonlinear problem and the complicated configuration. The wrinkling stress distribution and the pressure effects are also included in our analysis. Pseudo-beam method is presented based on the inflatable beam theory to model the inflatable structures as a set of inflatable beam elements with a prestressed state. In this method, the discretized nonlinear equations are given based upon the virtual work principle with a 3-node Timoshenko's beam model. Finite element simulation is performed by using a 3-node BEAM189 element incorporating ANSYS nonlinear program. The pressure effect is equivalent included in our method by modifying beam element cross-section parameters related to pressure. A benchmark example, the bending case of an inflatable cantilever beam, is performed to verify the accuracy of our proposed method. The comparisons reveal that the numerical results obtained with our method are close to open published analytical and membrane finite element results. The method is then used to evaluate the whole buckling and the loadcarrying characteristics of an inflatable support frame subjected to a compression force. The wrinkling stress and region characteristics are also shown in the end. This method gives better convergence characteristics, and requires much less computation time. It is very effective to deal with the whole The project supported by the Specialized Fund for the Doctoral

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Section: Introductionmentioning

confidence: 99%