Cover Image

A Time-Accurate Inflow Coupling for Zonal LES

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Blind, Marcel, Kleinert, Johannes, Beck, Andrea, Lutz, Thorsten
Format:	Preprint
Published:	2023
Subjects:	Fluid Dynamics Computational Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mach and Reynolds Number Effects on Transonic Buffet on the XRF-1 Transport Aircraft Wing at Flight Reynolds Number
by: Waldmann, Andreas, et al.
Published: (2022)

Physics-informed data-driven inference of an interpretable equivariant LES model of incompressible fluid turbulence
by: Ugliotti, Matteo, et al.
Published: (2026)

Cost-effective multi-fidelity strategy for the optimization of high-Reynolds number turbine flows guided by LES
by: Matar, Camille, et al.
Published: (2025)

Neural-ISAM: A hybrid in-situ machine learning approach for complex manifold-based combustion models in LES of turbulent flames
by: Fush, S. Trevor, et al.
Published: (2026)

An Architecture-Agnostic High-Order Discontinuous Galerkin Framework for Compressible Flows
by: Starr, Spencer, et al.
Published: (2026)

Invariant Control Strategies for Active Flow Control using Graph Neural Networks
by: Kurz, Marius, et al.
Published: (2025)

An LES model with finite-rate phase change and subgrid spray based on a thermodynamically consistent four-equation multiphase model
by: Collis, Henry, et al.
Published: (2026)

Comparison of Entropy Stable Collocation High-Order DG Methods for Compressible Turbulent Flows
by: Schwarz, Anna, et al.
Published: (2025)

Phase Transition From Turbulence To Zonal Flows In The Hasegawa-Wakatani System
by: Guillon, Pierre L., et al.
Published: (2024)

A Differentiable Programming Framework for Accurate and Stable Reduced-Order Modeling of Chaotic Flows
by: Kumar, Anant, et al.
Published: (2026)

Assessment of Hybrid RANS-LES and WALE Formulations for Wake and Resistance Prediction of the BB2 Submarine
by: Abidin, Noh Zainal, et al.
Published: (2025)

Accurate calculation of bubble and droplet properties in diffuse-interface two-phase simulations
by: Nathan, Pranav J., et al.
Published: (2025)

A Shakhov-based Bhatnagar-Gross-Krook model for polyatomic molecules and for atomic as well as polyatomic mixtures
by: Pfeiffer, Marcel, et al.
Published: (2026)

A Consistent Interface Reconstruction and Coupling Method for Multiphysics Simulations
by: Huff, Ethan, et al.
Published: (2026)

An Efficient and Accurate Surrogate Modeling of Flapping Dynamics in Inverted Elastic Foils using Hypergraph Neural Networks
by: Parekh, Aarshana R., et al.
Published: (2025)

Deep Learning of Solver-Aware Turbulence Closures from Nudged LES Dynamics
by: Suriyanarayanan, Ashwin, et al.
Published: (2026)

Vorticity-dependent and symmetry-preserving LES models
by: Cosserat, Oscar, et al.
Published: (2025)

Comparison of stochastic BGK and FP methods for the simulation of non-equilibrium multi-species molecular gas flows
by: Hild, Franziska, et al.
Published: (2025)

Super-resolution of turbulent velocity fields in two-way coupled particle-laden flows
by: Shamooni, Ali, et al.
Published: (2025)

Topology- and Geometry-Exact Coupling for Incompressible Fluids and Thin Deformables
by: Panuelos, Jonathan, et al.
Published: (2026)

Crank-Nicolson BGK Integrator for Multi-Scale Particle-Based Kinetic Simulations
by: Pfeiffer, Marcel, et al.
Published: (2024)

A Data-Driven Based Concurrent Coupling Approach for Cryogenic Propellant Tank Long-term Pressure Control Predictions
by: Cheng, Qiyun, et al.
Published: (2024)

A Multi-Species Enskog-Vlasov Solver to Determine Evaporation Coefficients of Fluids in High Pressure Environments
by: Tietz, Raphael, et al.
Published: (2025)

Vortex-Induced Drag Forecast for Cylinder in Non-uniform Inflow
by: Guan, Jiashun, et al.
Published: (2025)

SmartFlow: A CFD-solver-agnostic deep reinforcement learning framework for computational fluid dynamics on HPC platforms
by: Xiao, Maochao, et al.
Published: (2025)

Flame Modelling of Premixed Ammonia Combustion in Swirl Burner using LES
by: Tuyen, LE Quang, et al.
Published: (2024)

Coupled Aerodynamic-Electromagnetic Modeling for RCS Estimation of Million-Scale Chaff Clouds with Arbitrarily Curved 3D Geometries
by: Lee, Chung Hyun, et al.
Published: (2025)

LSTM-PINN for Steady-State Electrothermal Transport: Preserving Multi-Field Consis tency in Strongly Coupled Heat and Fluid Flow
by: Zhou, Yuqing, et al.
Published: (2026)

A computational approach for the study of electromagnetic interactions in reacting flows
by: Kritikos, Efstratios M., et al.
Published: (2025)

Coupled two-phase flow and surfactant/PFAS transport in porous media with angular pores: From pore-scale physics to Darcy-scale modeling
by: Chen, Sidian, et al.
Published: (2026)

Topology-Preserving Coupling of Compressible Fluids and Thin Deformables
by: Panuelos, Jonathan, et al.
Published: (2025)

Dynamic multiphase flow triggers chaotic mixing in porous media
by: Linga, Gaute, et al.
Published: (2026)

Physics-based r-adaptive algorithms for high-speed flows and plasma simulations
by: Ameur, Firas Ben, et al.
Published: (2018)

Quantifying the checkerboard problem to reduce numerical dissipation
by: Hopman, Johannes Arend, et al.
Published: (2024)

On-the-fly Reduced-Order Modeling of the Filter Density Function with Time-Dependent Subspaces
by: Aitzhan, Aidyn, et al.
Published: (2025)

accLB: A High-Performance Lattice Boltzmann Code for Multiphase Turbulence on Multi-Gpu Architectures
by: Lauricella, Marco, et al.
Published: (2025)

Breakdown of Kolmogorov Scaling and Modified Energy Transfer in Bubble-Laden Turbulence
by: Montessori, Andrea, et al.
Published: (2025)

Physics Informed Neural Network-based Computational Method for Accelerating Time-Periodic Unsteady CFD Simulations
by: Chaplot, Lakshya, et al.
Published: (2026)

Zonal flows driven by libration in rotating spherical shells: the case of periodic characteristic paths
by: Chang, Xu, et al.
Published: (2026)

Learning of viscosity functions in rarefied gas flows with physics-informed neural networks
by: Tucny, Jean-Michel, et al.
Published: (2023)