[HTML][HTML] Evaluation of machine learning algorithms for prediction of regions of high Reynolds averaged Navier Stokes uncertainty
J Ling, J Templeton - Physics of Fluids, 2015 - pubs.aip.org
Reynolds Averaged Navier Stokes (RANS) models are widely used in industry to predict
fluid flows, despite their acknowledged deficiencies. Not only do RANS models often …
fluid flows, despite their acknowledged deficiencies. Not only do RANS models often …
Large eddy simulation of film cooling: A review
J Ahn - Energies, 2022 - mdpi.com
Film cooling has dramatically contributed to the performance improvement of gas turbines,
as it is a very effective cooling technique for gas turbines. Large eddy simulation (LES) …
as it is a very effective cooling technique for gas turbines. Large eddy simulation (LES) …
Buoyant jets in cross-flows: review, developments, and applications
M Taherian, A Mohammadian - Journal of Marine Science and …, 2021 - mdpi.com
Significant environmental effects from the use of marine outfall discharges have led to
increased efforts by both regulatory bodies and research groups to minimize the negative …
increased efforts by both regulatory bodies and research groups to minimize the negative …
A machine learning approach for determining the turbulent diffusivity in film cooling flows
In film cooling flows, it is important to know the temperature distribution resulting from the
interaction between a hot main flow and a cooler jet. However, current Reynolds-averaged …
interaction between a hot main flow and a cooler jet. However, current Reynolds-averaged …
Interpretable deep learning for prediction of Prandtl number effect in turbulent heat transfer
We propose an interpretable deep learning (DL) model that extracts physical features from
turbulence data. Based on a conditional generative adversarial network combined with a …
turbulence data. Based on a conditional generative adversarial network combined with a …
Effects of preferential concentration on heat transfer in particle-based solar receivers
H Pouransari, A Mani - Journal of Solar Energy …, 2017 - asmedigitalcollection.asme.org
The working principle of particle-based solar receivers is to utilize the absorptivity of a
dispersed particle phase in an otherwise optically transparent carrier fluid. In comparison to …
dispersed particle phase in an otherwise optically transparent carrier fluid. In comparison to …
Uncertainty analysis and data-driven model advances for a jet-in-crossflow
J Ling, A Ruiz, G Lacaze… - Journal of …, 2017 - asmedigitalcollection.asme.org
For film cooling of combustor linings and turbine blades, it is critical to be able to accurately
model jets-in-crossflow. Current Reynolds-averaged Navier–Stokes (RANS) models often …
model jets-in-crossflow. Current Reynolds-averaged Navier–Stokes (RANS) models often …
Data-driven scalar-flux model development with application to jet in cross flow
The classical gradient-diffusion hypothesis has known deficiencies when applied to cooling
applications. In this paper, the gene-expression programming (GEP) method, a machine …
applications. In this paper, the gene-expression programming (GEP) method, a machine …
Numerical parametric study of paravalvular leak following a transcatheter aortic valve deployment into a patient-specific aortic root
Paravalvular leak (PVL) is a relatively frequent complication after transcatheter aortic valve
replacement (TAVR) with increased mortality. Currently, there is no effective method to pre …
replacement (TAVR) with increased mortality. Currently, there is no effective method to pre …
On the flow structure of an inclined jet in crossflow at low velocity ratios
This study investigates the influence of different low velocity ratios on the flow structures of
an inclined jet in crossflow (JICF). Experiments are conducted in a closed-loop water tunnel …
an inclined jet in crossflow (JICF). Experiments are conducted in a closed-loop water tunnel …