Background Image
Table of Contents Table of Contents
Previous Page  213 / 308 Next Page
Information
Show Menu
Previous Page 213 / 308 Next Page
Page Background

213

Thermo-Fluid Dynamics

Uncertainty quantification

Thermoacoustic instabilities are highly unpredictable,

because they respond in a very sensitive manner to slight

changes in operating or boundary conditions. As a result

instabilities are detected often only at the later stages of

development in full combustor tests, resulting in signifi-

cant overruns of development cost or time. It is essential

to deploy robust and reliable simulation methodologies

that include strategies to quantify the uncertainty of model

predictions and their sensitivity to parameter changes.

The TFD group has developed and applied successfully

a variety of strategies for uncertainty quantification in

thermoacoustics, such as non-intrusive polynomial chaos

expansion, or active subspace. The development of

surrogate models by analytical means, or by exploiting

adjoint numerical solutions, has played an important role

in these efforts.

Project

■■

CSC Scholarship, AG Turbo COOREFLEX

Uncertainty of growth rates and risk factor of thermoacoustic instability,

predicted with adjoint-based surrogate models of increasing order (from

Silva et al, JGTP, 2017).

Combustion noise

In the past year, the TFD group has developed charac-

teristic-based, state-space boundary conditions, which

allow to impose non-trivial acoustic impedances at the

computational domain boundaries in a robust and flexible

manner. Furthermore, advanced techniques for system

identification were introduced, which estimate noise

Power spectral distribution of pressure fluctuations generated by an

enclosed turbulent swirl burner. Measurements (O) vs. modelling with

one-way (

) and two-way coupling (

). Shading indicates the 95%

confidence interval of results.

(Merk et al, submitted to Proc. Combust. Inst.)

models as well as confidence intervals from time series

data generated by high-fidelity simulations. Combining

these techniques with large eddy simulation of turbulent

combustion makes possible the accurate and efficient

prediction of combustion noise. Furthermore, eigenmode

analysis of the spectral distribution of pressure fluctua-

tions elucidates the interplay between combustion noise

generation, flame dynamics and thermoacoustic reso-

nances. The results emphasize the necessity of including

full two-way coupling in simulations of flow-flame-acous-

tic interactions.

Project

■■

DFG/ANR NoiseDyn