Hybrid LES/RANS for flows including separation: A new wall function using Machine Learning based on binary search trees

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Davidson, Lars
Format:	Preprint
Published:	2024
Subjects:	Fluid Dynamics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stochastic Backscatter for Grey-Area Mitigation in Hybrid RANS-LES Simulations
by: Passariello, Angelo, et al.
Published: (2025)

Hybrid RANS-LES simulation of transverse fuel injection in a Mach-10 scramjet engine
by: Plewacki, Nick, et al.
Published: (2025)

Bayesian neural network correction of RANS turbulence models with uncertainty quantification in separated flows
by: Buchanan, Tyler, et al.
Published: (2026)

Passive Cavitation Mitigation on Hydrofoils via Porous Media: A Comparative Study of LES and RANS Models
by: Alavi, Ali, et al.
Published: (2025)

Improved pressure-gradient sensor for the prediction of separation onset in RANS models
by: Griffin, Kevin Patrick, et al.
Published: (2024)

Density-based topology optimization for turbulent fluid flow using the standard k-epsilon RANS model with wall-functions imposed through an implicit wall penalty formulation
by: Bayat, Amirhossein, et al.
Published: (2026)

CaLES: A GPU-accelerated solver for large-eddy simulation of wall-bounded flows
by: Xiao, Maochao, et al.
Published: (2024)

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)

Physics informed data-driven near-wall modelling for lattice Boltzmann simulation of high Reynolds number turbulent flows
by: Xue, Xiao, et al.
Published: (2024)

A weakly compressible SPH method for RANS simulation of wall-bounded turbulent flows
by: Wang, Feng, et al.
Published: (2025)

A wall model for separated flows: embedded learning to improve a posteriori performance
by: Zhou, Zhideng, et al.
Published: (2024)

Using Physics Informed Neural Network (PINN) and Neural Network (NN) to Improve a $k-ω$ Turbulence Model
by: Davidson, Lars
Published: (2025)

Evaluation of RANS-based turbulence models for isothermal flow in a realistic can-type gas turbine combustor application
by: Kumar, Aishvarya, et al.
Published: (2023)

Using LSTM Predictions for RANS Simulations
by: Pasinato, Hugo D.
Published: (2024)

Green function and singularities in Stokes flow confined by cylindrical walls
by: Procopio, Giuseppe
Published: (2025)

Pseudo-2D RANS: A LiDAR-driven mid-fidelity model for simulations of wind farm flows
by: Letizia, Stefano, et al.
Published: (2021)

Optimising branched fluidic networks: A unifying approach including laminar and turbulent flows, rough walls, and non-Newtonian fluids
by: Smink, Jan Siemen, et al.
Published: (2025)

Boundary treatment algorithms for meshfree RANS turbulence modeling
by: Padmanabha, Mohan, et al.
Published: (2026)

LES-FGM modelling of non-premixed auto-igniting turbulent hydrogen flames including preferential diffusion
by: Ballatore, Alessandro, et al.
Published: (2024)

Sensitivity analysis of wall-modeled large-eddy simulation for separated turbulent flow
by: Zhou, Di, et al.
Published: (2023)

oRANS: Online optimisation of RANS machine learning models with embedded DNS data generation
by: Dehtyriov, Daniel, et al.
Published: (2025)

Turbulence Closure in RANS and Flow Inference around a Cylinder using PINNs and Sparse Experimental Data
by: Zhang, Z., et al.
Published: (2025)

A progressive data-augmented RANS model for enhanced wind-farm simulations
by: Amarloo, Ali, et al.
Published: (2024)

Enhancing wall-to-wall heat transport with unsteady flow perturbations
by: Alben, Silas, et al.
Published: (2025)

Adjoint-based optimal actuation for separated flow past an airfoil
by: Thompson, Ernold, et al.
Published: (2024)

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows
by: Dehtyriov, Daniel, et al.
Published: (2026)

turbo-RANS: Straightforward and Efficient Bayesian Optimization of Turbulence Model Coefficients
by: McConkey, Ryley, et al.
Published: (2023)

Physics-based distinction of nonequilibrium effects in near-wall modeling of turbulent separation bubble with and without sweep
by: Hayat, Imran, et al.
Published: (2024)

Reynolds stress scaling in the near-wall region of wall-bounded flows
by: Smits, Alexander J., et al.
Published: (2021)

A global similarity correction for the RANS modeling of natural convection in unstably stratified flows
by: Joo, Da-Sol
Published: (2025)

Sensitivities of Free-Air RANS and DDES Methods on the High-Lift NASA CRM
by: Zauner, Markus, et al.
Published: (2024)

Development of transitional Reynolds number correlation and assessment of RANS for predictions of bypass transition
by: Gonzalez, Carlos A., et al.
Published: (2025)

On the Reynolds analogy for high-speed rough-wall flows: implications for wall modelling
by: Cogo, Michele, et al.
Published: (2026)

Scaling of wall pressure and the peak of streamwise turbulence intensity in compressible wall flows
by: Hasan, Asif Manzoor, et al.
Published: (2025)

Deep reinforcement learning for the management of the wall regeneration cycle in wall-bounded turbulent flows
by: Cavallazzi, Giorgio Maria, et al.
Published: (2024)

Machine-learning wall model of large-eddy simulation for low- and high-speed flows over rough surfaces
by: Ma, Rong, et al.
Published: (2026)

Role of boundary conditions and wall orientation on the transport of settling inertial particles in wall-bounded flows
by: Zhang, Y., et al.
Published: (2025)

Machine-learning based flow field estimation using floating sensor locations
by: Oura, Tomoya, et al.
Published: (2023)

Screening Canopy-Induced Wind with a Lightweight 2-D RANS Quadratic-Drag Model
by: Pattanapol, Wichai, et al.
Published: (2025)

Reconsiderations about inner layer of wall-bounded flows
by: Nagib, Hassan
Published: (2025)