Toward robust parameterized reduced-order models of non-linear structures using POD

In this paper, we focus on the control of the error intro- duced by a reduced basis surrogate model on the computation of the failure probability obtained by a Monte Carlo

In a previous article (see [3]), numerical simulations were performed to show that heat transfer coefficient, quenching temperature and carbon layer features have a major

As one can see, there is only in one case of P r = 0.01, Γ = 1.2 and liquid volume 0.8 that a big discrepancy in the critical Reynolds number was obtained (about 5%). For the case of

Since the normalized errors are of the same order of magnitude in both methods, we are tempted to claim that the minimization of I (3) , with the determination of the constant

Modeling uncertainties in molecular dynamics simulations using a stochastic reduced-order basis.. Haoran Wang, Johann Guilleminot,

The documents may come from teaching and research institutions in France or abroad, or from public or private research centers.. L’archive ouverte pluridisciplinaire HAL, est

• Reduction of the Coupled Turbulence Model Numerical Results: Cooling of an Printed Circuit Board, Reduced Model.

From all this, we finally get three kinds of stability condition, each clearly established: (1) a first one about the logarithm map domain of definition, (2) a second one on the loss