Probabilistic detection of impacts using the PFEEL algorithm with a Gaussian Process Regression Model
Methods for identifying human activity have a wide range of potential applications, including
security, event time detection, intelligent building environments, and human health. Current …
security, event time detection, intelligent building environments, and human health. Current …
From abstraction to design: Interpretable tree-based machine learning for stable thermoacoustic system layout
M Kuznetsova, A Ghani - Proceedings of the Combustion Institute, 2024 - Elsevier
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 …
researched intensively this problem, but even today, no guidelines (or design rules) exist to …
A Stochastic and Bayesian Inference Toolchain for Uncertainty and Risk Quantification of Rare Autoignition Events in Dry Low-Emission Premixers
Quantification of aleatoric uncertainties due to the inherent variabilities in operating
conditions and fuel composition is essential for designing and improving premixers in dry …
conditions and fuel composition is essential for designing and improving premixers in dry …
The impact of exceptional points on the reliability of thermoacoustic stability analysis
Exceptional points can be found for specific sets of parameters in thermoacoustic systems.
At an exceptional point, two eigenvalues and their corresponding eigenfunctions coalesce …
At an exceptional point, two eigenvalues and their corresponding eigenfunctions coalesce …
Confidence in flame impulse response estimation from large eddy simulation with uncertain thermal boundary conditions
Thermoacoustic stability analysis is an essential part of the engine development process.
Typically, thermoacoustic stability is determined by hybrid approaches. These approaches …
Typically, thermoacoustic stability is determined by hybrid approaches. These approaches …
Preserving transfer-behavior in Model Order Reduction for thermoacoustic stability analysis
N Purwar, W Polifke - Journal of Sound and Vibration, 2023 - Elsevier
Thermoacoustic systems are often modeled with a hybrid approach that combines separate
models for acoustic propagation and flame dynamics. Model Order Reduction (MOR) may …
models for acoustic propagation and flame dynamics. Model Order Reduction (MOR) may …
Reliable calculation of thermoacoustic instability risk using an imperfect surrogate model
One of the fundamental tasks in performing robust thermoacoustic design of gas turbine
combustors is calculating the modal instability risk, ie, the probability that a thermoacoustic …
combustors is calculating the modal instability risk, ie, the probability that a thermoacoustic …
Robust identification of flame frequency response via multi-fidelity Gaussian process approach
Accurate, robust, and efficient identification of flame frequency response (FFR) plays a
crucial role in thermoacoustic instability prediction, analysis and control. In order to extract …
crucial role in thermoacoustic instability prediction, analysis and control. In order to extract …
Adjoint-Based Analysis of Low-Order Thermoacoustic Networks
F Engelhardt - 2023 - mediatum.ub.tum.de
The thesis aims to improve the understanding of thermoacoustic system behavior by
employing and extending network model analysis. The proposed methods and …
employing and extending network model analysis. The proposed methods and …
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 …
quantification of the linear flame response. The local flame modeling is required at high …