From the 1 of 5 linked papers with an AI index.
5 papers
Automated Derivation of Lattice Boltzmann Methods for Systems of Conservation Laws
Adrian Kummerländer, Fedor Bukreev, Mathias J. Krause
The paper introduces an automated framework that derives lattice Boltzmann methods directly from systems of conservation laws, using a symbolic compiler to generate the necessary e…
Mean-Flow Adjoint Sensitivity Analysis of Unsteady Flow Around Porous Cylinders Using a Homogenized Lattice Boltzmann Method
Shota Ito, Johannes L. Grafen, Fedor Bukreev +2
Adjoint-based sensitivity analysis is an indispensable tool for large-scale fluid-dynamic design and distributed control problems, yet its application to unsteady and turbulent flo…
Lattice Boltzmann Methods for Compressible (Magneto)hydrodynamics
Fedor Bukreev, Adrian Kummerländer, Mathias J. Krause
The simulation of magnetohydrodynamic (MHD) flows presents a highly complex, tightly coupled transport problem that poses severe numerical and computational demands. Towards this,…
Efficient Wall-Modelled Large Eddy Simulation of Rotors using Homogenized Lattice Boltzmann Methods
Adrian Kummerländer, Shota Ito, Maximilian Schecher +4
Accurately capturing the dynamic forces acting on rotors as well as their wake effects presents a significant challenge for computational fluid dynamics (CFD) due to high Reynolds…
An Integrated Open Source Software System for the Generation and Analysis of Subject-Specific Blood Flow Simulation Ensembles
Simon Leistikow, Thomas Miro, Adrian Kummerländer +6
Background and Objective: Hemodynamic analysis of blood flow through arteries and veins is critical for diagnosing cardiovascular diseases, such as aneurysms and stenoses, and for…