In computational fluid dynamics simulations of industrial flows, models based on the
Reynolds-averaged Navier–Stokes (RANS) equations are expected to play an important …

Direct numerical simulation (DNS) provides unrivalled levels of detail and accuracy for
simulating turbulent flows. However, like all numerical methods, DNS is subject to …

The present study focuses on applying different metrics to assess accuracy, robustness and
sensitivity of scale-resolving simulations of turbulent channel flow, when the numerical …

This paper proposes a probabilistic framework for assessing the consistency of an
experimental dataset, ie, whether the stated experimental conditions are consistent with the …

The study of complex turbulent flows by means of large-eddy simulation approaches has
become increasingly popular in many scientific and engineering applications. The …

Computational hemodynamics has received increasing attention recently. Patient‐specific
simulations require questionable model assumptions, for example, for geometry, boundary …

The potential of sequential Data Assimilation (DA) techniques to improve the numerical
accuracy of Large Eddy Simulation (LES) performed on coarse grid is assessed …

Exascale computing promises quantities of data too large to efficiently store and transfer
across networks in order to be able to analyze and visualize the results. We investigate …

The advent of fabrication techniques such as additive manufacturing has focused attention
on the considerable variability of material response due to defects and other microstructural …

Abstract An online Data Assimilation strategy based on the Ensemble Kalman Filter (EnKF)
is used to study the features of parametric optimization and synchronization of the physical …