… In the present work, an uncertainty quantification study has been applied to RANS and LES
(… The probability collocation method has been used with the same approach proposed by …

… In the present work an Uncertainty Quantification study has been applied to RANS and LES
(… The Probability Collocation Method has been used with the same approach proposed by …

… In the present work, an uncertainty quantification study has been applied to RANS and LES
(… The probability collocation method has been used with the same approach proposed by …

… decomposition method based on the multifidelity approach is … for efficient uncertainty
quantification of complex heat transfer … In the LOO cross-validation technique, the predicted …

… aspects of spectral stochastic methods with details sufficient to … error in the prediction,
because numerical methods usually pro… In parallel, numerous applications to heat transfer have …

… Synthesis of the calibration and prediction results … optimal LES formulation 7, which used
linear stochastic estimation … It is designed to simulate turbulent reacting flow and heat transfer …

… prediction of flow field in an array of wind turbines. The above-mentioned approaches are
applied for uncertainty quantification … Note that the LES corresponds to the mean of hub height …

… predict the uncertainty in the velocity field. The main challenge in this approach is the influence
of the choice of the stochastic … the LES results provide a reliable database to quantify the …

… of uncertainty quantification in the context of quantifying the … use of a Bayesian deep neural
network as a model to predict a … flows, we assume that the LES solution will be statistically …

… in heat transfer and pressure predictions on the bottom plate, with … LES simulations can
still diverge from experimental results due to uncertainties in SGS models and the stochastic …