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Geometrically non-linear behavior of structural systems with random material property: An asymptotic spectral stochastic approach

✍ Scribed by M. Tootkaboni; L. Graham-Brady; B.W. Schafer


Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
945 KB
Volume
198
Category
Article
ISSN
0045-7825

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✦ Synopsis


An asymptotic spectral stochastic approach is presented for computing the statistics of the equilibrium path in the post-bifurcation regime for structural systems with random material properties. The approach combines numerical implementation of Koiter's asymptotic theory with a stochastic Galerkin scheme and collocation in stochastic space to quantify uncertainties in the parametric representation of the load-displacement relationship, specifically in the form of uncertain post-buckling slope, post-buckling curvature, and a family of stochastic displacement fields. Using the proposed method, post-buckling response statistics for two plane frames are obtained and shown to be in close agreement with those obtained from Monte Carlo simulation, provided a fine enough spectral representation is used to model the variability in the random dimension.


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A non-linear stochastic finite element formulation for the stochastic response analysis of geometrically non-linear, elastic two-dimensional frames with random stiffness properties and random damping subject to stationary random excitations is derived, utilizing deterministic shape functions and ran