Data-driven modeling of rotating detonation waves
Ariana Mendible, James Koch, Henning Lange, Steven L. Brunton, J. Nathan Kutz
Abstract
A rotating detonation engine displays complex nonlinear shock front propagation dynamics which impede effective dimensionality reduction. A novel optimization is used to discover separate low-rank modes and interpretable dynamics for each front's propagation. Koopman autoencoders similarly enable separation and forecasting of shock wave interactions.
Topics & Concepts
DetonationShock waveShock (circulatory)Front (military)Nonlinear systemDimensionality reductionDynamics (music)Rank (graph theory)Curse of dimensionalityShock frontComputer sciencePhysicsMechanicsStatistical physicsClassical mechanicsAcousticsArtificial intelligenceMathematicsExplosive materialChemistryMeteorologyQuantum mechanicsMedicineInternal medicineCombinatoricsOrganic chemistryCombustion and Detonation ProcessesQuantum, superfluid, helium dynamicsNuclear Engineering Thermal-Hydraulics