G Gears Design with Shape Uncertainties using Monte Carlo Simulations and Kriging
Texte intégral
Documents relatifs
In this paper, a 2D decomposition method is proposed to compute the static transmission error of gears with holes in the gear blanks without heavy computational effort1. The
Notice here that with SimDesign the lengths of the returned objects from Analyse() (and also Summarise() ) are allowed to differ across the simula- tion conditions, where in the
As the number of simulations grows, the frequency of the best move will dominate the others, so the mean value of this node will converge to the maximum value of all its moves, and
Thanks to the flexibility of isogeometric analysis and geometry-independent field approximations, we investigate the impact of geometrical and material uncertainties on the behaviour
the interaction energies are calculated by the Inverse linearized Monte Carlo Method [5].. The Inverse Linearized Monte Carlo
Monte Carlo MC simulation is widely used to estimate the expectation E[X ] of a random variable X and compute a con dence interval on E[X ]... What this talk
Variance Reduction for Generalized Likelihood Ratio Method By Conditional Monte Carlo and Randomized Quasi-Monte Carlo... Variance Reduction for Generalized Likelihood Ratio Method
In the case of slip/transpiration boundary conditions, measurements at the inlet and in the interior will be used in order to estimate the plug flow parameter and the