Imagen de Portada

Data-driven turbulence modeling

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Cinnella, Paola
Formato:	Preprint
Publicado:	2024
Materias:	Fluid Dynamics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Recent developments and research needs in turbulence modeling of hypersonic flows
por: Raje, Pratikkumar, et al.
Publicado: (2024)

Space-dependent Aggregation of Stochastic Data-driven Turbulence Models
por: Cherroud, Soufiane, et al.
Publicado: (2023)

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance
por: Schouler, Marc, et al.
Publicado: (2025)

Machine-learning-assisted Blending of Data-Driven Turbulence Models
por: Oulghelou, Mourad, et al.
Publicado: (2024)

End-to-end optimization of subgrid scale models for discontinuous spectral element schemes based on the discrete adjoint method
por: Clinco, Nicola, et al.
Publicado: (2026)

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

Data-driven turbulence modelling for magnetohydrodynamic flows in annular pipes
por: Santamaria, Alejandro Montoya, et al.
Publicado: (2025)

Data-driven oscillator model for multi-frequency turbulent flows
por: Kim, Youngjae, et al.
Publicado: (2026)

The Closure Challenge: a benchmark task for machine learning in turbulence modelling
por: McConkey, Ryley, et al.
Publicado: (2026)

Data-driven turbulent heat flux modeling with inputs of multiple fidelity
por: Fiore, Matilde, et al.
Publicado: (2024)

Elastoinertial turbulence: Data-driven reduced-order model based on manifold dynamics
por: Kumar, Manish, et al.
Publicado: (2024)

Data-driven Koopman operator predictions of turbulent dynamics in models of shear flows
por: Constante-Amores, C. Ricardo, et al.
Publicado: (2024)

Data-driven enhancement of coherent structure-based models for predicting instantaneous wall turbulence
por: Deshpande, Rahul, et al.
Publicado: (2021)

Data-driven prediction of reversal of large-scale circulation in turbulent convection
por: Katsumi, Daigaku, et al.
Publicado: (2025)

Data-driven modeling of multiscale phenomena with applications to fluid turbulence
por: Choi, Brandon, et al.
Publicado: (2025)

Data-driven Mori-Zwanzig modeling of Lagrangian particle dynamics in turbulent flows
por: de Wit, Xander, et al.
Publicado: (2025)

Analysis and reformulation of the $k$--$ω$ turbulence model for buoyancy-driven thermal convection
por: Joo, Da-Sol
Publicado: (2025)

Minimal model of quasi-cyclic behaviour in turbulence driven by Taylor--Green forcing
por: Araki, Ryo, et al.
Publicado: (2021)

A novel data-driven method for augmenting turbulence modeling for unsteady cavitating flows
por: Apte, Dhruv, et al.
Publicado: (2024)

Toward a unified data-driven turbulence model through multi-objective learning
por: Liu, Zhuoran, et al.
Publicado: (2025)

Universal scaling laws of boundary-driven turbulence
por: Zeng, Yong-Ying, et al.
Publicado: (2025)

Sheared stratified turbulence driven by Kolmogorov flow
por: Sozza, Alessandro, et al.
Publicado: (2025)

Data-driven detached-eddy simulations based on explicit algebraic stress expressions for turbulent flows
por: Liu, Hao-Chen, et al.
Publicado: (2025)

Interpretable data-driven turbulence modeling for separated flows using symbolic regression with unit constraints
por: Zhang, Boqian, et al.
Publicado: (2024)

Modelling the transition from shear-driven turbulence to convective turbulence in a vertical heated pipe
por: Chu, Shijun, et al.
Publicado: (2025)

Direct measurement of energy transfer in strongly driven rotating turbulence
por: Shaltiel, Omri, et al.
Publicado: (2024)

Data-driven discovery of the equations of turbulent convection
por: Wareing, Christopher J., et al.
Publicado: (2025)

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

Data-driven nonlinear turbulent flow scaling with Buckingham Pi variables
por: Fukami, Kai, et al.
Publicado: (2024)

Scale-space energy transport in anisotropic inhomogeneous buoyancy-driven turbulent flows
por: Kirubel, Endale H., et al.
Publicado: (2024)

Dynamics of an autocatalytic reaction front: effects of imposed turbulence and buoyancy-driven flows
por: Tawdi, Nihal, et al.
Publicado: (2025)

Blowup driven by critical balance in a differential kinetic model of gravity wave turbulence
por: Schubring, Daniel, et al.
Publicado: (2025)

Fake it till you make it: using artificial turbulence to achieve swift converged turbulence statistics in a pressure-driven channel flow
por: Patil, Akshay, et al.
Publicado: (2024)

The effects of turbulence modeling on dynamic stall
por: Baldan, Giacomo, et al.
Publicado: (2024)

A proposal for automated turbulence modelling
por: Castelletti, Marco, et al.
Publicado: (2025)

Cascades of turbulent kinetic energy and multicomponent scalars in a momentum-scalar coupling turbulence driven by multiscale forces under homogeneous and isotropic hypotheses
por: Zhao, Wei
Publicado: (2023)

Tailwind turbulence: a bound on the energy available from turbulence for transit, tested in Kraichnan's model
por: Bollt, Scott A., et al.
Publicado: (2025)

Generalizable data-driven turbulence closure modeling on unstructured grids with differentiable physics
por: Kim, Hojin, et al.
Publicado: (2023)

Resolvent-based modeling of turbulent jet noise
por: Pickering, Ethan, et al.
Publicado: (2021)

Extreme statistics and extreme events in dynamical models of turbulence
por: de Wit, Xander M., et al.
Publicado: (2024)