Low-emission combustion technologies for gas turbines are prone to a phenomenon called thermoacoustic instability. Such instabilities cause structural damage and high-cycle fatigue due to large amplitudes of pressure fluctuations and may significantly increase development and operation costs. Therefore, prediction of the instabilities in early design stages of the development cycle is important. This thesis proposes an efficient method, which takes the interaction of acoustic waves and mean flow field into account and therefore provides a higher accuracy and robustness compared to lower order models.
«
Low-emission combustion technologies for gas turbines are prone to a phenomenon called thermoacoustic instability. Such instabilities cause structural damage and high-cycle fatigue due to large amplitudes of pressure fluctuations and may significantly increase development and operation costs. Therefore, prediction of the instabilities in early design stages of the development cycle is important. This thesis proposes an efficient method, which takes the interaction of acoustic waves and mean flow...
»