1 citations · 1 across the 4 of their papers we have counts for
5 papers
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…
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…
Large-Scale Simulations of Turbulent Flows using Lattice Boltzmann Methods on Heterogeneous High Performance Computers
Adrian Kummerländer, Fedor Bukreev, Yuji Shimojima +2
Current GPU-accelerated supercomputers promise to enable large-scale simulations of turbulent flows. Lattice Boltzmann Methods (LBM) are particularly well-suited to fulfilling this…
A Prefixed Patch Time Series Transformer for Two-Point Boundary Value Problems in Three-Body Problems
Akira Hatakeyama, Shota Ito, Toshihiko Yanase +1
Two-point boundary value problems for cislunar trajectories present significant challenges in circler restricted three body problem, making traditional analytical methods like Lamb…
Low-Thrust Many-Revolution Trajectory Design Under Operational Uncertainties for DESTINY+ Mission
Naoya Ozaki, Yuki Akiyama, Akira Hatakeyama +3
DESTINY+ is a planned JAXA medium-class Epsilon mission from Earth to deep space using a low-thrust, many-revolution orbit. Such a trajectory design is a challenging problem not on…