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Auteurs principaux: Gaudioso, Riccardo, Sotomayor-Zakharov, Denis, Gallia, Mariachiara
Format: Recurso digital
Langue:anglais
Publié: Zenodo 2025
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Accès en ligne:https://doi.org/10.2514/1.J066103
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author Gaudioso, Riccardo
Sotomayor-Zakharov, Denis
Gallia, Mariachiara
author_facet Gaudioso, Riccardo
Sotomayor-Zakharov, Denis
Gallia, Mariachiara
contents <p>This study uses embedded large eddy simulations of a developing turbulent boundary layer over a heated flat plate with realistic ice roughness to investigate local effects on velocity and thermal log layer shifts. The numerical setup is first validated against experimental data and then used to analyze mean turbulent flow properties. The main objective is to evaluate a set of equivalent sand grain roughness correlations by comparing their predictions with roughness induced shifts obtained from the simulations. Several established models are considered, each estimating equivalent sand grain roughness distributions based on geometric characteristics of nonuniform rough surfaces. Using these correlations, trends in velocity and thermal shifts are examined. The analysis is further complemented by a brief assessment of Stanton number and friction factor analogies derived from the simulation results. In addition, a multivariate analysis is performed to explore possible cross dependencies between geometric roughness properties and the observed shifts. The results show that some existing models are able to capture the trends in velocity shifts accurately only in the fully rough regime, corresponding to high roughness Reynolds numbers. At lower roughness levels, these models generally fail to reproduce the expected behavior. Thermal shifts display inconsistent trends across the tested correlations. A similar limitation is observed in Stanton number estimates based on friction analogies, which do not show a clear dependence on roughness geometry features.</p>
format Recurso digital
id zenodo_https___doi_org_10_2514_1_J066103
institution Zenodo
language eng
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle Analysis of Roughness Correlations on Ice Geometries via Embedded Large-Eddy Simulation
Gaudioso, Riccardo
Sotomayor-Zakharov, Denis
Gallia, Mariachiara
Large Eddy Simulation
Ice roughness
Turbulent Convection
Equivalent sand grain roughness
<p>This study uses embedded large eddy simulations of a developing turbulent boundary layer over a heated flat plate with realistic ice roughness to investigate local effects on velocity and thermal log layer shifts. The numerical setup is first validated against experimental data and then used to analyze mean turbulent flow properties. The main objective is to evaluate a set of equivalent sand grain roughness correlations by comparing their predictions with roughness induced shifts obtained from the simulations. Several established models are considered, each estimating equivalent sand grain roughness distributions based on geometric characteristics of nonuniform rough surfaces. Using these correlations, trends in velocity and thermal shifts are examined. The analysis is further complemented by a brief assessment of Stanton number and friction factor analogies derived from the simulation results. In addition, a multivariate analysis is performed to explore possible cross dependencies between geometric roughness properties and the observed shifts. The results show that some existing models are able to capture the trends in velocity shifts accurately only in the fully rough regime, corresponding to high roughness Reynolds numbers. At lower roughness levels, these models generally fail to reproduce the expected behavior. Thermal shifts display inconsistent trends across the tested correlations. A similar limitation is observed in Stanton number estimates based on friction analogies, which do not show a clear dependence on roughness geometry features.</p>
title Analysis of Roughness Correlations on Ice Geometries via Embedded Large-Eddy Simulation
topic Large Eddy Simulation
Ice roughness
Turbulent Convection
Equivalent sand grain roughness
url https://doi.org/10.2514/1.J066103