1 citations · 2 across the 8 of their papers we have counts for
8 papers
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…
Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations
Qi Wang, Gustaaf Jacobs
A framework is developed for the inference of dynamics described by a generalized system of ordinary differential equations. A stochastic gradient method is coined that infers dyna…
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…
Liouville models of particle-laden flow
Daniel Domínguez-Vázquez, Gustaaf B. Jacobs, Daniel M. Tartakovsky
Langevin (stochastic differential) equations are routinely used to describe particle-laden flows. They predict Gaussian probability density functions (PDFs) of a particle's traject…
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…
Shock Regularization with Smoothness-Increasing Accuracy-Conserving Dirac-Delta Polynomial Kernels
B. W. Wissink, G. B. Jacobs, J. K. Ryan +2
A smoothness-increasing accuracy conserving filtering approach to the regularization of discontinuities is presented for single domain spectral collocation approximations of hyperb…