Projection-based reduced order modeling of multi-species mixing and combustion

C Ni, S Ding, J Li, X Chu, Z Ren, X Wang - Physics of Fluids, 2024 - pubs.aip.org
High-fidelity simulations of mixing and combustion processes are computationally
demanding and time-consuming, hindering their wide application in industrial design and …

[HTML][HTML] Thermoacoustic stability analysis and robust design of burner-deck-anchored flames using flame transfer function composition

HF Ganji, V Kornilov, J van Oijen, IL Arteaga… - Combustion and …, 2024 - Elsevier
Thermoacoustic instabilities in combustion systems are influenced by the thermoacoustic
properties, such as the transfer function (TF) of the burner with flame. One promising …

Robust combustor design based on flame transfer function modification

JGR von Saldern, JM Reumschüssel… - … Journal of Spray …, 2022 - journals.sagepub.com
Operation under stable conditions is an important prerequisite for gas turbine safety. While
recent studies have focused primarily on acoustic design to avoid thermoacoustic …

Physics-based statistical learning in thermoacoustics

F Garita - 2022 - repository.cam.ac.uk
Thermoacoustic oscillations arise because of the interaction between acoustic waves inside
a duct or a combustion chamber, and heat release rate oscillations at the flame or heater …

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 …

[PDF][PDF] Machine learning for thermoacoustics

MP Juniper - Machine Learning and its Application to Reacting …, 2023 - library.oapen.org
This chapter demonstrates three promising ways to combine machine learning with physics-
based modelling in order to model, forecast, and avoid thermoacoustic instability. The first …

Non-intrusive semi-analytical uncertainty quantification using Bayesian quadrature with application to CFD simulations

Y Duan, MN Ridao, M Eaton, M Bluck - … Journal of Heat and Fluid Flow, 2022 - Elsevier
To improve the safety, reliability, and performance of complex engineering systems, it is
crucial to understand and quantify uncertainties. This paper presents a framework to non …

A new class of Galerkin expansion models for the study of thermoacoustic instabilities

CF Silva, W Polifke - Proceedings of the Combustion Institute, 2024 - Elsevier
This study proposes a new formulation of the one-mode Galerkin expansion and compares it
against a classical one found in the literature, while considering a velocity-sensitive flame …

Uncertainty Quantification in the Modeling of Spray Combustion Dynamics

SR Kulkarni - 2024 - mediatum.ub.tum.de
This thesis focuses on understanding the response of spray sub-processes to acoustic
oscillations using an analytical formulation and leverage this knowledge in analyzing spray …

Local modeling and uncertainty quantification of the linear flame response

A Avdonin - 2022 - mediatum.ub.tum.de
This thesis and the corresponding publications cover the local modeling and uncertainty
quantification of the linear flame response. The local flame modeling is required at high …