Numerical study on intrinsic thermoacoustic instability of a laminar premixed flame

CF Silva, T Emmert, S Jaensch, W Polifke - Combustion and Flame, 2015 - Elsevier
A study on the velocity sensitivity and intrinsic thermoacoustic stability of a laminar,
premixed, Bunsen-type flame is carried out. Direct numerical simulation (DNS) of the flame …

Uncertainty encountered when modelling self-excited thermoacoustic oscillations with artificial neural networks

S Jaensch, W Polifke - International Journal of Spray and …, 2017 - journals.sagepub.com
Artificial neural networks are a popular nonlinear model structure and are known to be able
to describe complex nonlinear phenomena. This article investigates the capability of artificial …

Simultaneous identification of transfer functions and combustion noise of a turbulent flame

M Merk, S Jaensch, C Silva, W Polifke - Journal of Sound and Vibration, 2018 - Elsevier
Abstract The Large Eddy Simulation/System Identification (LES/SI) approach allows to
deduce a flame transfer function (FTF) from LES of turbulent reacting flow: Time series of …

Identification of flame transfer functions in the presence of intrinsic thermoacoustic feedback and noise

S Jaensch, M Merk, T Emmert… - Combustion Theory and …, 2018 - Taylor & Francis
The Large Eddy Simulation/System Identification (LES/SI) approach is a general and
efficient numerical method for deducing a Flame Transfer Function (FTF) from the LES of …

Uncertainty quantification of combustion noise by generalized polynomial chaos and state-space models

CF Silva, P Pettersson, G Iaccarino, M Ihme - Combustion and Flame, 2020 - Elsevier
Many physical systems are subject to uncertainty in operating regimes, boundary conditions,
and physical parameter values. The generalized polynomial chaos (gPC) framework offers …