45th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics &Amp;amp; Materials Conference 2004
DOI: 10.2514/6.2004-1613
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Predicting Uncertainty Propagation in a Highly Nonlinear System with a Stochastic Projection Method

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Cited by 9 publications
(10 citation statements)
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“…Clearly, the expansions fail in reproducing the baseline result (for n = 0). Pettit and Beran [30] and Millman et al [26] describe the computational problems associated with the WHe expansions in greater detail, but point to the failure of fixed-order WHe expansions at large-time to capture an increasing level of nonlinearity in the dependence of x i (t, n) on n.…”
Section: Failure Of Global Bases For Time-domain Stochastic Lco Analysismentioning
confidence: 98%
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“…Clearly, the expansions fail in reproducing the baseline result (for n = 0). Pettit and Beran [30] and Millman et al [26] describe the computational problems associated with the WHe expansions in greater detail, but point to the failure of fixed-order WHe expansions at large-time to capture an increasing level of nonlinearity in the dependence of x i (t, n) on n.…”
Section: Failure Of Global Bases For Time-domain Stochastic Lco Analysismentioning
confidence: 98%
“…In the B-spline results reported below, for which the standard deviations of the physical parameters are assumed to be fairly large, the corresponding rvs are confined to values within [À4, 4]. This sub-domain captures 99.99% of the possible responses [26].…”
Section: B-spline-based Stochastic Projectionsmentioning
confidence: 98%
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