[HTML][HTML] The potential of machine learning methods for separated turbulent flow simulations: Classical versus dynamic methods
S Heinz - Fluids, 2024 - mdpi.com
Feasible and reliable predictions of separated turbulent flows are a requirement to
successfully address the majority of aerospace and wind energy problems. Existing …
successfully address the majority of aerospace and wind energy problems. Existing …
A survey on the application of machine learning in turbulent flow simulations
M Majchrzak, K Marciniak-Lukasiak, P Lukasiak - Energies, 2023 - mdpi.com
As early as at the end of the 19th century, shortly after mathematical rules describing fluid
flow—such as the Navier–Stokes equations—were developed, the idea of using them for …
flow—such as the Navier–Stokes equations—were developed, the idea of using them for …
Field inversion and machine learning for turbulence modelling applied to three-dimensional separated flows
J Ho, A West - AIAA aviation 2021 forum, 2021 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2021-2903. vid The Field Inversion and
Machine Learning (FIML) method was applied to augment the k-ω SST turbulence model to …
Machine Learning (FIML) method was applied to augment the k-ω SST turbulence model to …
A high-performance vortex adjustment design for an air-cooling battery thermal management system in electric vehicles
To boost the performance of the air-cooling battery thermal management system, this study
designed a novel vortex adjustment structure for the conventional air-cooling battery pack …
designed a novel vortex adjustment structure for the conventional air-cooling battery pack …
Application of convolutional neural network for efficient turbulence modeling in urban wind field simulation
Accurate flow field estimation is crucial for the improvement of outdoor environmental
quality, but computational fluid dynamics (CFD) based on the widely used Reynolds …
quality, but computational fluid dynamics (CFD) based on the widely used Reynolds …
Investigation and optimization of thermal management system for lithium-ion battery packs used in EVs and HEVs
G Zhao - 2024 - figshare.utas.edu.au
Transportation electrification has been universally regarded as a critical method to tackle the
more and more severe global warming and climate change issues nowadays. The …
more and more severe global warming and climate change issues nowadays. The …
Physically Consistent Resolving Simulations of Turbulent Flows
S Heinz - Entropy, 2024 - mdpi.com
Usually applied simulation methods for turbulent flows as large eddy simulation (LES), wall-
modeled LES (WMLES), and detached eddy simulation (DES) face significant challenges …
modeled LES (WMLES), and detached eddy simulation (DES) face significant challenges …
[PDF][PDF] Estimating performance bounds of machine-learning Reynolds-stress models via optimal tensor basis expansions
Engineering design relies on numerical simulations of turbulent flows to perform analysis
and optimize components. Realistic turn-around times for the ensembles of simulations …
and optimize components. Realistic turn-around times for the ensembles of simulations …
[PDF][PDF] IDENTIFYING INFORMATIVE FEATURES FOR DATA-DRIVEN TURBULENCE MODELLING
To date most work on applying data-driven techniques to augment the Reynolds Averaged
Navier-Stokes turbulence models have concentrated on the form of correction to the …
Navier-Stokes turbulence models have concentrated on the form of correction to the …