Litcius/Paper detail

Krylov Methods for Large-Scale Dynamical Systems: Application in Fluid Dynamics

Ricardo A. Schuh Frantz, Jean-Christophe Loiseau, Jean-Christophe Robinet

2023Applied Mechanics Reviews17 citationsDOIOpen Access PDF

Abstract

Abstract In fluid dynamics, predicting and characterizing bifurcations, from the onset of unsteadiness to the transition to turbulence, is of critical importance for both academic and industrial applications. Different tools from dynamical systems theory can be used for this purpose. In this review, we present a concise theoretical and numerical framework focusing on practical aspects of the computation and stability analyses of steady and time-periodic solutions, with emphasis on high-dimensional systems such as those arising from the spatial discretization of the Navier–Stokes equations. Using a matrix-free approach based on Krylov methods, we extend the capabilities of the open-source high-performance spectral element-based time-stepper Nek5000. The numerical methods discussed are implemented in nekStab, an open-source and user-friendly add-on toolbox dedicated to the study of stability properties of flows in complex three-dimensional geometries. The performance and accuracy of the methods are illustrated and examined using standard benchmarks from the fluid mechanics literature. Thanks to its flexibility and domain-agnostic nature, the methodology presented in this work can be applied to develop similar toolboxes for other solvers, most importantly outside the field of fluid mechanics.

Topics & Concepts

Computer scienceDiscretizationFluid mechanicsComputationStability (learning theory)Dynamical systems theoryFluid dynamicsToolboxComputational scienceMathematicsMechanicsPhysicsAlgorithmMathematical analysisProgramming languageQuantum mechanicsMachine learningModel Reduction and Neural NetworksNonlinear Dynamics and Pattern FormationNumerical methods for differential equations
Krylov Methods for Large-Scale Dynamical Systems: Application in Fluid Dynamics | Litcius