“…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].…”
“…Following Millman et al [26], splines can be used to approximate these kinds of projections. An important property of the multivariate B-splines they choose is that the splines are a compact support basis; i.e., the influence of any particular B-spline coefficient extends over a few intervals [7].…”
“…Attar and Dowell [1] employ MCS and a response surface method to map the output characteristics of a delta wing (as measured by the root-mean square of the wing tip displacement) to two input parameters considered variable: thickness and modulus of elasticity. As treated by Millman et al [26], Attar and Dowell gave special attention in the response surface mapping to the modeling of the bifurcation leading to LCO. Pettit and Beran [32] continued study of the airfoil, and related oscillatory phenomena, using two-dimensional Wiener-Haar expansions.…”
Section: Introductionmentioning
confidence: 99%
“…In their work, one structural parameter, the cubic stiffness coefficient, was considered random. Millman et al [26] alternatively proposed a stochastic projection method derived from B-splines and apply the technique to representing the probabilistic response of the airfoil in terms of a single output variable, the peak pitch angle. Two input variables were considered random, the cubic stiffness coefficient and the initial angle of attack.…”
“…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].…”
“…Following Millman et al [26], splines can be used to approximate these kinds of projections. An important property of the multivariate B-splines they choose is that the splines are a compact support basis; i.e., the influence of any particular B-spline coefficient extends over a few intervals [7].…”
“…Attar and Dowell [1] employ MCS and a response surface method to map the output characteristics of a delta wing (as measured by the root-mean square of the wing tip displacement) to two input parameters considered variable: thickness and modulus of elasticity. As treated by Millman et al [26], Attar and Dowell gave special attention in the response surface mapping to the modeling of the bifurcation leading to LCO. Pettit and Beran [32] continued study of the airfoil, and related oscillatory phenomena, using two-dimensional Wiener-Haar expansions.…”
Section: Introductionmentioning
confidence: 99%
“…In their work, one structural parameter, the cubic stiffness coefficient, was considered random. Millman et al [26] alternatively proposed a stochastic projection method derived from B-splines and apply the technique to representing the probabilistic response of the airfoil in terms of a single output variable, the peak pitch angle. Two input variables were considered random, the cubic stiffness coefficient and the initial angle of attack.…”
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