27 citations · 31 across the 18 of their papers we have counts for
8 papers · 1 filter
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…
Uncertain data assimilation for urban wind flow simulations with OpenLB-UQ
Mingliang Zhong, Dennis Teutscher, Adrian Kummerländer +3
Accurate prediction of urban wind flow is essential for urban planning, pedestrian safety, and environmental management. Yet, it remains challenging due to uncertain boundary condi…
OpenLB-UQ: An Uncertainty Quantification Framework for Incompressible Fluid Flow Simulations
Mingliang Zhong, Adrian Kummerländer, Shota Ito +3
Uncertainty quantification (UQ) is crucial in computational fluid dynamics to assess the reliability and robustness of simulations, given the uncertainties in input parameters. Ope…
Analytical solution for dynamic evaporation of liquid in isothermal condition
Luiz Eduardo Czelusniak, Tim Niklas Bingert, Stephan Simonis +2
An analytical solution based on a diffuse interface model is presented for an isothermal evaporation problem under sub-saturation pressure. The macroscopic equations are derived fr…
On the consistency of pseudo-potential lattice Boltzmann methods
Luiz Eduardo Czelusniak, Tim Niklas Bingert, Mathias J. Krause +1
We derive the partial differential equation (PDE) to which the pseudo-potential lattice Boltzmann method (P-LBM) converges under diffusive scaling, providing a rigorous basis for i…
On the range of validity of parabolic models for fluid flow through isotropic homogeneous porous media
Davide Dapelo, Stephan Simonis, Mohaddeseh Mousavi Nezhad +2
Lattice-Boltzmann methods are established mesoscopic numerical schemes for fluid flow, that recover the evolution of macroscopic quantities (viz., velocity and pressure fields) evo…
Predicting Filter Medium Performances in Chamber Filter Presses with Digital Twins Using Neural Network Technologies
Dennis Teutscher, Tyll Weber-Carstanjen, Stephan Simonis +1
Efficient solid-liquid separation is crucial in industries like mining, but traditional chamber filter presses depend heavily on manual monitoring, leading to inefficiencies, downt…
A Digital Urban Twin Enabling Interactive Pollution Predictions and Enhanced Planning
Dennis Teutscher, Fedor Bukreev, Adrian Kummerlaender +5
Digital twin (DT) technology is increasingly used in urban planning, leveraging real-time data integration for environmental monitoring. This paper presents an urban-focused DT tha…