5 papers · 1 filter
Neural-Network and Reduced-order Modeling Workflows for AI-Driven CFD: Fast Response Surfaces, Reduced Dynamics and Jet in Cross-flow Examples
Kaku E. Eduku, Pavel P. Popov, Gustaaf Jacobs
Highly resolved computational fluid dynamics (CFD) simulations are essential for design but too expensive for dense design-space sampling. This chapter presents an AI-driven CFD wo…
Data-driven nonlinear aerodynamics models with certifiably optimal boundedness properties
A. Leonid Heide, Shih-Chi Liao, Sergio Castiblanco-Ballesteros +3
Obtaining predictive low-order models is a central challenge in fluid dynamics. Data-driven frameworks have been widely used to obtain low-order models of aerodynamic systems; yet,…
Robust Spectral Solver for High-Fidelity Investigations of Aerospike Nozzle Flow Dynamics
Zachary Pyle, Gustaaf B. Jacobs
A spectral element solver is developed for the high-fidelity simulation of the unsteady flow over an aerospike nozzle. The Navier-Stokes solver is a kinetic-energy-preserving, disc…
The Footprint of Laminar Separation on a Wall-Bounded Wing Section at Transitional Reynolds Numbers
Charles Klewicki, Bjoern F. Klose, Gustaaf B. Jacobs +1
When a chordwise Reynolds number (Re) falls below about the performance of wings and aerodynamic sections become sensitive to viscous phenomena, including boundary layer sep…
Lagrangian Liouville models of multiphase flows with randomly forced inertial particles
Daniel Dominguez-Vazquez, Sergio A. Castiblanco-Ballesteros, Gustaaf B. Jacobs +1
Eulerian-Lagrangian models of particle-laden (multiphase) flows describe fluid flow and particle dynamics in the Eulerian and Lagrangian frameworks respectively. Regardless of whet…