We use Bayesian inference, accelerated by adjoint methods, to construct a quantitatively
accurate model of the thermoacoustic behaviour of a conical flame in a duct. We first perform …

We create a general model for the tracking of a premixed flame sheet. This model is based
on a Lagrangian formulation of the interface motion, which is more computationally efficient …

We use approximate Bayesian inference, accelerated by adjoint methods, to construct a
quantitatively accurate model of the thermoacoustic behaviour of a turbulent conical flame in …

We assimilate experimental data from non-reacting flow in the SCARLET (SCaled Acoustic
Rig for Low Emission Technologies) test rig using physics-based Bayesian inference. We …

Combustion instability can lead to high amplitude oscillations of pressure in the combustion
chamber, which would seriously affect the normal operation of the combustion system. In …

Thermoacoustic instabilities are a long-standing problem. Both academia and industry
researched intensively this problem, but even today, no guidelines (or design rules) exist to …

In the reported paper, the reflection coefficient at the exit of the bluff-body combustor is
experimentally measured over a range of operating conditions for different exit orifice plates …

The thermo-acoustic stability of a combustor may be assessed in its design phase via
solving an expression for the interior acoustic field with flame characteristics treated as an …

This paper presents a method for predicting the stability boundaries of a model combustion
chamber using a data-driven approach based on the n-τ model. The n-τ model is derived …

We develop and demonstrate a computationally cheap framework to identify optimal
experiments for Bayesian inference of physics-based models. We develop the metrics (i) to …