Combustion kinetic model uncertainty quantification, propagation and minimization
The current interest in the combustion chemistry of hydrocarbon fuels, including the various
alcohol and biodiesel compounds, motivates this review of the methods and application of …
alcohol and biodiesel compounds, motivates this review of the methods and application of …
Emerging trends in numerical simulations of combustion systems
V Raman, M Hassanaly - Proceedings of the Combustion Institute, 2019 - Elsevier
Numerical simulations have played a vital role in the design of modern combustion systems.
Over the last two decades, the focus of research has been on the development of the large …
Over the last two decades, the focus of research has been on the development of the large …
[HTML][HTML] Guidelines for the formulation of Lagrangian stochastic models for particle simulations of single-phase and dispersed two-phase turbulent flows
In this paper, we establish a set of criteria which are applied to discuss various formulations
under which Lagrangian stochastic models can be found. These models are used for the …
under which Lagrangian stochastic models can be found. These models are used for the …
Quantifying kinetic uncertainty in turbulent combustion simulations using active subspaces
Uncertainty quantification in expensive turbulent combustion simulations usually adopts
response surface techniques to accelerate Monte Carlo sampling. However, it is …
response surface techniques to accelerate Monte Carlo sampling. However, it is …
Uncertainty-quantification analysis of the effects of residual impurities on hydrogen–oxygen ignition in shock tubes
This study addresses the influences of residual radical impurities on the computation and
experimental determination of ignition times in H 2/O 2 mixtures. Particular emphasis is …
experimental determination of ignition times in H 2/O 2 mixtures. Particular emphasis is …
Shared low-dimensional subspaces for propagating kinetic uncertainty to multiple outputs
Forward propagation of kinetic uncertainty in combustion simulations usually adopts
response surface techniques to accelerate Monte Carlo sampling. Yet it is computationally …
response surface techniques to accelerate Monte Carlo sampling. Yet it is computationally …
Harnessing the combined power of theoretical and experimental data through multiscale informatics
MP Burke - International Journal of Chemical Kinetics, 2016 - Wiley Online Library
Monumental, recent and rapidly continuing, improvements in the capabilities of ab initio
theoretical kinetics calculations provides reason to believe that progress in the field of …
theoretical kinetics calculations provides reason to believe that progress in the field of …
Mind the gap: Turbulent combustion model validation and future needs
S Hochgreb - Proceedings of the Combustion Institute, 2019 - Elsevier
This overview collects a range of well characterized experiments used in the step-wise
validation of turbulent combustion models, from gas phase non-premixed jet flames to spray …
validation of turbulent combustion models, from gas phase non-premixed jet flames to spray …
Kinetic subspace investigation using neural network for uncertainty quantification in nonpremixed flamelets
Propagating uncertainties in kinetic models through turbulent combustion simulations to
properly quantify the uncertainties in the simulation results remains a challenging and …
properly quantify the uncertainties in the simulation results remains a challenging and …
[HTML][HTML] Non-intrusive uncertainty quantification in the simulation of turbulent spray combustion using polynomial chaos expansion: A case study
A major source of input uncertainties in the simulation of turbulent spray combustion is
introduced by the need to specify the state of the liquid spray after primary breakup, ie a …
introduced by the need to specify the state of the liquid spray after primary breakup, ie a …