Modern gas turbine combustors are prone to combustion instabilities characterized by large pressure fluctuations, which can compromise safe and efficient operation and potentially cause severe hardware damage. This phenomenon, known as thermoacoustic instability, results from the interaction between the acoustic field and unsteady heat release. In recent decades, the widespread adoption of LPP (lean premixed pre-vaporized) combustors in gas turbines has significantly reduced greenhouse gas emissions. However, the increased susceptibility of these lean premixed flames to perturbations also heightens the risk of thermoacoustic instability, spurring extensive research in this field.
Given the critical role of combustion instability in gas turbines, this study provides a comprehensive analysis from multiple perspectives. In the first part, we conducted multiple experimental investigations to explore the unsteady flame dynamics resulting from various perturbations, including turbulence, unequal mass and thermal diffusion, and the nonlinear coupling of multi-flame configurations with acoustic interactions.
In the second part, we shifted our focus to investigating the complex dynamics of thermoacoustic instability from a dynamical system perspective. We developed a phenomenological framework based on synchronization theory to model thermoacoustic instability, which effectively captured the dynamical behavior in both laminar and turbulent thermoacoustic systems. Additionally, we introduced a data-driven modal analysis for thermoacoustic instability, enabling the identification of early warning signals for the onset of instability.
In the second part, we shifted our focus to investigating the complex dynamics of thermoacoustic instability from a dynamical system perspective. We developed a phenomenological framework based on synchronization theory to model thermoacoustic instability, which effectively captured the dynamic behavior in both laminar and turbulent thermoacoustic systems. Additionally, we introduced a data-driven modal analysis for thermoacoustic instability, enabling the identification of early warning signals for the onset of instability.