The simulation of turbulent flames fully resolving the smallest flow scales and the thinnest
reaction zones goes along with specific requirements, which are discussed from …

In this study, we assess the veracity of models for density-weighted local flame displacement
speed of turbulent premixed flames. It will be shown that a combination of two models, one …

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 …

Three-dimensional direct numerical simulations of spherically propagating premixed
turbulent stoichiometric hydrogen-air flames with detailed chemistry and detailed diffusion …

A three-dimensional direct numerical simulation database of turbulent boundary layer
flashback of a hydrogen-rich premixed flame with an equivalence ratio of 1.5 has been …

Direct numerical simulation data obtained from two statistically stationary, one-dimensional,
planar, weakly turbulent, premixed flames are analyzed in order to examine the influence of …

Modelling of the turbulent burning velocity based on Lagrangian statistics of propagating
surfaces Page 1 J. Fluid Mech. (2020), vol. 887, A11. c The Author(s), 2020. Published by …

3D direct numerical simulation data obtained from statistically stationary, planar, weakly
turbulent, premixed flames, which are characterized by two different density ratios (7.53 and …

Various aspects of machine learning (ML) are explored to resolve limitations appearing in
current ML-based subgrid scale (SGS) stress modeling. Graph neural network (GNN) …

We study the interaction between knotted flame and vortex tubes using the direct numerical
simulation. A 3D configuration of the flame-vortex interaction is proposed. The premixed …