Archive | 2019
Characterization of dynamic behavior of combustion noise and detection of blowout in a laboratory-scale gas-turbine model combustor
Abstract
Abstract We present an experimental study on characterizing the dynamic behavior of flow velocity field during combustion noise from the viewpoints of statistical complexity and complex-network theory, involving the detection of a precursor of blowout. The multiscale complexity-entropy causality plane clearly shows the possible presence of two dynamics, (1) stochastic dynamics in the injector rim region and (2) noisy chaos in the shear layer between a vortex breakdown bubble in a wake of a centerbody and the outer recirculation region in a dump plate. The turbulence network is used to study the vortical interactions during combustion noise. The weighted permutation entropy incorporating the amplitude information of pressure fluctuations is useful for capturing a precursor of blowout.