Cover Image

Improved pressure-gradient sensor for the prediction of separation onset in RANS models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Griffin, Kevin Patrick, Vijayakumar, Ganesh, Sharma, Ashesh, Sprague, Michael A.
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

Improving boundary-layer separation prediction by an IDDES turbulence model using a pressure-gradient sensor
by: Savino, Benjamin S., et al.
Published: (2026)

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

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

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

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

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

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

Hybrid LES/RANS for flows including separation: A new wall function using Machine Learning based on binary search trees
by: Davidson, Lars
Published: (2024)

Wetting and pressure gradient performance in a lattice Boltzmann color gradient model
by: Sedahmed, Mahmoud, et al.
Published: (2024)

Fast buffet onset prediction and optimization method based on a pre-trained flowfield prediction model
by: Yang, Yunjia, et al.
Published: (2024)

A variational data assimilation approach for sparse velocity reference data in coarse RANS simulations through a corrective forcing term
by: Brenner, Oliver, et al.
Published: (2023)

Improving the Vector Basis Neural Network for RANS Equations Using Separate Trainings
by: Oberto, Davide
Published: (2024)

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

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

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

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)

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

Variational assimilation of sparse time-averaged data for efficient adjoint-based optimization of unsteady RANS simulations
by: Plogmann, Justin, et al.
Published: (2023)

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

High-Reynolds-number turbulent boundary layers under adverse pressure gradients. Part 1. Decoupling local and upstream pressure gradient effects
by: Zarei, Ahmad, et al.
Published: (2025)

Criteria for dynamic stall onset and vortex shedding in low Reynolds number flows
by: Sudharsan, Sarasija, et al.
Published: (2024)

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

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

Evidence of quasi equilibrium in pressure-gradient turbulent boundary layers
by: Baxerres, Victor, et al.
Published: (2023)

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

Cavitation onset in transient pressure fields
by: Coulombel, Pierre, et al.
Published: (2025)

A simplified digital twin of a pressure swing adsorption plant for air separation
by: Dhamanekar, Abhijit, et al.
Published: (2025)

Effects of spatially localised pressure gradient histories on recovery of turbulent boundary layers
by: Bramantasaputra, Zefanya, et al.
Published: (2025)

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

Streamwise energy-transfer mechanisms in zero- and adverse-pressure-gradient turbulent boundary layers
by: Deshpande, Rahul, et al.
Published: (2024)

Turbulent activity in the near-wall region of adverse pressure gradient turbulent boundary layers
by: Gungor, Taygun R., et al.
Published: (2024)

Turbulent/non-turbulent interface in high Reynolds number pressure gradient boundary layers
by: Marusic, Ivan, et al.
Published: (2024)

Reynolds-number effects on the outer region of adverse-pressure-gradient turbulent boundary layers
by: Deshpande, Rahul, et al.
Published: (2023)

Quantifying equilibrium pressure-gradient turbulent boundary layers via a symmetry approach
by: Bi, Wei-Tao, et al.
Published: (2023)

Error propagation of direct pressure gradient integration and a Helmholtz-Hodge decomposition based pressure field reconstruction method for image velocimetry
by: Li, Lanyu, et al.
Published: (2024)

Quantifying Flow separation for ellipse and von-Kármán Airfoil: A dataset of surface pressure and skin friction
by: Winther, Christian Bak, et al.
Published: (2026)

A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertainty
by: Agrawal, Atul, et al.
Published: (2023)

Performance Evaluation of RANS-Based Turbulence Models in Predicting Turbulent Non-Premixed Swirling Combustion within a Realistic Can Combustor
by: Kumar, Aishvarya, et al.
Published: (2026)

On the wake region of high-Reynolds-number turbulent boundary layers subject to adverse pressure gradients
by: Lozier, Mitchell, et al.
Published: (2026)

Tailor-designed models for the turbulent velocity gradient through normalizing flow
by: Carbone, Maurizio, et al.
Published: (2024)