Abstract Conditional Source-term Estimation (CSE) is a turbulence–chemistry interaction
model to simulate reacting flows. This model is similar to the Conditional Moment Closure …

We introduce a novel statistical calibration framework for physical models, relying on
probabilistic embedding of model discrepancy error within the model. For clarity of …

For the first time, a double conditioned CSE formulation including two mixture fractions is
applied to model two Delft-Jet-in-Hot-Coflow (DJHC) flames in Large Eddy Simulation (LES) …

A novel combustion modelling approach is proposed here to study the transient effects of
diesel spray. Conditional Source-term Estimation (CSE) is a combustion model which …

RANS simulations of the Delft-Jet-in-Hot-Coflow (DJHC) flame operating in the Moderate
and Intense Low Oxygen Dilution (MILD) combustion mode, are performed using the …

The objective of the present study is to evaluate the applicability of a new partially premixed
combustion model, Doubly Conditional Source-term Estimation (DCSE), applied to a series …

This paper demonstrates the development of a simple chemical kinetics model designed for
autoignition of n-dodecane in air using Bayesian inference with a model-error …

Data from the two different methane/air jet experimental databases is examined to
understand the effects of spatial variations in the conditional averages of reactive scalars in …

Abstract Conditional Moment Closure (CMC) and Conditional Source-term Estimation (CSE)
are investigated in a direct side-by-side comparison of the Sandia flames. The objective of …

This paper examines a new Conditional Source-term Estimation (CSE) implementation in
which an integral inversion is performed for species mass fractions without any chemistry …