A review of hybrid RANS-LES methods for turbulent flows: Concepts and applications
S Heinz - Progress in Aerospace Sciences, 2020 - Elsevier
The hybridization of Reynolds-averaged Navier-Stokes (RANS) and large eddy simulation
(LES) methods is seen to be the most promising way to efficiently deal with separated …
(LES) methods is seen to be the most promising way to efficiently deal with separated …
Insights into the turbulent flow of dense gases through high-fidelity simulations
P Cinnella, X Gloerfelt - Computers & Fluids, 2023 - Elsevier
This article reviews recent advances in the understanding of turbulent flows of non-ideal
gases through the use of high-fidelity direct and large eddy simulations. In particular, the …
gases through the use of high-fidelity direct and large eddy simulations. In particular, the …
Flows over periodic hills of parameterized geometries: A dataset for data-driven turbulence modeling from direct simulations
Computational fluid dynamics models based on Reynolds-averaged Navier–Stokes
equations with turbulence closures still play important roles in engineering design and …
equations with turbulence closures still play important roles in engineering design and …
Comparison of different data-assimilation approaches to augment RANS turbulence models
Abstract Reynolds-averaged Navier–Stokes (RANS) simulations are the most widespread
approach to predict turbulent flows typical of industrial problems. Despite its success, the …
approach to predict turbulent flows typical of industrial problems. Despite its success, the …
[HTML][HTML] Error-driven adaptive mesh refinement for unsteady turbulent flows in spectral-element simulations
The simulation of turbulent flows requires high spatial resolution in potentially a priori
unknown, solution-dependent locations. To achieve adaptive refinement of the mesh, we …
unknown, solution-dependent locations. To achieve adaptive refinement of the mesh, we …
Machine learning-augmented turbulence modeling for RANS simulations of massively separated flows
Most widely used Reynolds-averaged Navier-Stokes (RANS) models employ the
Boussinesq approximation, which assumes a linear relationship between the turbulent …
Boussinesq approximation, which assumes a linear relationship between the turbulent …
[HTML][HTML] Theory-based Reynolds-averaged Navier–Stokes equations with large eddy simulation capability for separated turbulent flow simulations
The prediction and investigation of very high Reynolds number turbulent wall flows pose a
significant challenge: experimental studies and large eddy simulation (LES) are often …
significant challenge: experimental studies and large eddy simulation (LES) are often …
[HTML][HTML] Efficient assimilation of sparse data into RANS-based turbulent flow simulations using a discrete adjoint method
O Brenner, P Piroozmand, P Jenny - Journal of Computational Physics, 2022 - Elsevier
Turbulent flow simulations based on the Reynolds-averaged Navier–Stokes (RANS)
equations continue to be the workhorse approach for industrial flow problems. However, due …
equations continue to be the workhorse approach for industrial flow problems. However, due …
[HTML][HTML] Dimensionality reduction for regularization of sparse data-driven RANS simulations
P Piroozmand, O Brenner, P Jenny - Journal of Computational Physics, 2023 - Elsevier
Data assimilation can reduce the model-form errors of RANS simulations. A spatially
distributed corrective parameter field can be introduced into the closure model, whose …
distributed corrective parameter field can be introduced into the closure model, whose …
Data-driven turbulence modeling in separated flows considering physical mechanism analysis
Accurate simulation of turbulent flow with separation is an important but challenging
problem. In this paper, a data-driven Reynolds-averaged turbulence modeling approach …
problem. In this paper, a data-driven Reynolds-averaged turbulence modeling approach …