UB Paderborn / Katalog / Suche / in CDI

A note on thermodynamic restriction on turbulence modelling

The International journal of heat and fluid flow, 2001-10, Vol.22 (5), p.495-499

2001

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Approximate equations for the properties of dry steam from a generalization of Callendar's equation

The International journal of heat and fluid flow, 1983, Vol.4 (1), p.27-31

Brereton, D.H.

1983

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Deep reinforcement learning for turbulence modeling in large eddy simulations

The International journal of heat and fluid flow, 2023-02, Vol.99, p.109094, Article 109094

2023

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Computational and experimental analysis of supersonic air ejector: Turbulence modeling and assessment of 3D effects

The International journal of heat and fluid flow, 2015-12, Vol.56, p.305-316

2015

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A stress–strain lag Eddy viscosity model for unsteady mean flow

International journal of heat and fluid flow, 2006-10, Vol.27 (5), p.821-830

2006

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An iterative machine-learning framework for RANS turbulence modeling

The International journal of heat and fluid flow, 2021-08, Vol.90, p.108822, Article 108822

2021

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Recurrent neural networks and Koopman-based frameworks for temporal predictions in a low-order model of turbulence

The International journal of heat and fluid flow, 2021-08, Vol.90, p.108816, Article 108816

2021

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Predicting high-fidelity multiphysics data from low-fidelity fluid flow and transport solvers using physics-informed neural networks

The International journal of heat and fluid flow, 2022-08, Vol.96, p.109002, Article 109002

2022

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POD-based surrogate modeling of transitional flows using an adaptive sampling in Gaussian process

The International journal of heat and fluid flow, 2020-08, Vol.84, p.108596, Article 108596

2020

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Flow and thermal fields modeling in jet impingement configurations using a Reynolds stress turbulence closure within the RANS and Sensitized-RANS framework

The International journal of heat and fluid flow, 2024-02, Vol.105, p.109264, Article 109264

2024

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Data-driven CFD modeling of turbulent flows through complex structures

The International journal of heat and fluid flow, 2016-12, Vol.62, p.138-149

2016

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On the explainability of machine-learning-assisted turbulence modeling for transonic flows

The International journal of heat and fluid flow, 2022-10, Vol.97, p.109038, Article 109038

2022

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The development of algebraic stress models using a novel evolutionary algorithm

The International journal of heat and fluid flow, 2017-12, Vol.68, p.298-318

2017

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Turbulence control in plane Couette flow using low-dimensional neural ODE-based models and deep reinforcement learning

The International journal of heat and fluid flow, 2023-06, Vol.101, p.109139, Article 109139

2023

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Data-driven turbulence modeling in separated flows considering physical mechanism analysis

The International journal of heat and fluid flow, 2022-08, Vol.96, p.109004, Article 109004

2022

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Hybrid RANS/LES modeling of hypersonic turbulent boundary layers with cold walls

The International journal of heat and fluid flow, 2024-07, Vol.107, p.109334, Article 109334

2024

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Wall-modeled LES of shock-wave/boundary layer interaction

The International journal of heat and fluid flow, 2022-12, Vol.98, p.109071, Article 109071

2022

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Turbulence characteristics of corner flow and modification of elliptic relaxation function in Phit–f k–ε model

The International journal of heat and fluid flow, 2024-07, Vol.107, p.109373, Article 109373

2024

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Nonlinear eddy diffusivity models reflecting buoyancy effect for wall-shear flows and heat transfer

International journal of heat and fluid flow, 2006-08, Vol.27 (4), p.671-683

2006

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Stochastic modeling of multiple scalar mixing in a three-stream concentric coaxial jet based on one-dimensional turbulence

The International journal of heat and fluid flow, 2023-12, Vol.104, p.109235, Article 109235

2023

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Stochastic modeling of surface scalar-flux fluctuations in turbulent channel flow using one-dimensional turbulence

The International journal of heat and fluid flow, 2022-02, Vol.93, p.108889, Article 108889

2022

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Studying turbulent flows with physics-informed neural networks and sparse data

The International journal of heat and fluid flow, 2023-12, Vol.104, p.109232, Article 109232

2023

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Non-equilibrium wall functions for large Eddy simulations of complex turbulent flows and heat transfer

The International journal of heat and fluid flow, 2021-04, Vol.88, p.108758, Article 108758

2021

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Progressive augmentation of Reynolds stress tensor models for secondary flow prediction by computational fluid dynamics driven surrogate optimisation

The International journal of heat and fluid flow, 2023-12, Vol.104, p.109242, Article 109242

2023

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On frozen-RANS approaches in data-driven turbulence modeling: Practical relevance of turbulent scale consistency during closure inference and application

The International journal of heat and fluid flow, 2022-10, Vol.97, p.109017, Article 109017

2022

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A note on thermodynamic restriction on turbulence modelling

Approximate equations for the properties of dry steam from a generalization of Callendar's equation

Deep reinforcement learning for turbulence modeling in large eddy simulations

Computational and experimental analysis of supersonic air ejector: Turbulence modeling and assessment of 3D effects

A stress–strain lag Eddy viscosity model for unsteady mean flow

An iterative machine-learning framework for RANS turbulence modeling

Recurrent neural networks and Koopman-based frameworks for temporal predictions in a low-order model of turbulence

Predicting high-fidelity multiphysics data from low-fidelity fluid flow and transport solvers using physics-informed neural networks

POD-based surrogate modeling of transitional flows using an adaptive sampling in Gaussian process

Flow and thermal fields modeling in jet impingement configurations using a Reynolds stress turbulence closure within the RANS and Sensitized-RANS framework

Data-driven CFD modeling of turbulent flows through complex structures

On the explainability of machine-learning-assisted turbulence modeling for transonic flows

The development of algebraic stress models using a novel evolutionary algorithm

Turbulence control in plane Couette flow using low-dimensional neural ODE-based models and deep reinforcement learning

Data-driven turbulence modeling in separated flows considering physical mechanism analysis

Hybrid RANS/LES modeling of hypersonic turbulent boundary layers with cold walls

Wall-modeled LES of shock-wave/boundary layer interaction

Turbulence characteristics of corner flow and modification of elliptic relaxation function in Phit–f k–ε model

Nonlinear eddy diffusivity models reflecting buoyancy effect for wall-shear flows and heat transfer

Stochastic modeling of multiple scalar mixing in a three-stream concentric coaxial jet based on one-dimensional turbulence

Stochastic modeling of surface scalar-flux fluctuations in turbulent channel flow using one-dimensional turbulence

Studying turbulent flows with physics-informed neural networks and sparse data

Non-equilibrium wall functions for large Eddy simulations of complex turbulent flows and heat transfer

Progressive augmentation of Reynolds stress tensor models for secondary flow prediction by computational fluid dynamics driven surrogate optimisation

On frozen-RANS approaches in data-driven turbulence modeling: Practical relevance of turbulent scale consistency during closure inference and application

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