Direct numerical simulations (DNS) of turbulent combustion have evolved tremendously in
the past decades, thanks to the rapid advances in high performance computing technology …

Deep neural network (DNN) is applied to mean reaction rate modelling. Two DNN
structures, species-dependent (SD) and species-independent (SI), are considered. 1 Due to …

Nowadays, in the context of CO 2 reduction and gas turbine fuel flexibility, the interest in
acquiring know-how on lean Hydrogen Enriched Natural Gas (HENG) is growing. This …

In the present work, direct numerical simulation of a laboratory-scale lean premixed reacting
jet in cross-flow was performed to explore the flow–flame structures and turbulence–flame …

Direct numerical simulation (DNS) data of moderate or intense low-oxygen dilution (MILD)
combustion and a planar flame are analysed to identify quantities influencing the unique …

Direct numerical simulation is employed to investigate the turbulent flow characteristics and
their effect on local flames for mean reaction rate modelling in turbulent swirling premixed …

Data-driven modelling in fluid mechanics is a promising alternative given the continuous
increase of computational power and data-storage capabilities. Highly non-linear flows …

The sensitivity of the turbulent flame speed to the geometry of the flame is investigated using
direct numerical simulations of turbulent premixed flames in three canonical configurations …

Statistically spherical expanding turbulent premixed flames are computed using an unsteady
Reynolds-averaged Navier–Stokes (URANS) approach. Mean reaction rate is closed using …

Flame turbulence interaction is an important term for modelling scalar dissipation in
premixed turbulent combustion. In order to obtain an accurate representation of the flame …