Pipe flow simulation data illustrating the influence of filter kernels on the scale-energetics of near-wall turbulence
Fuente:
PANGAEA
Enregistré dans:
| Auteurs principaux: | , , , |
|---|---|
| Format: | Dataset Open Access |
| Langue: | en |
| Publié: |
PANGAEA
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1867171052333826048 |
|---|---|
| author | Feldmann, Daniel Umair, Mohammad Avila, Marc von Kameke, Alexandra |
| author_facet | Feldmann, Daniel Umair, Mohammad Avila, Marc von Kameke, Alexandra |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | Originally developed for large-eddy simulation (LES) modelling and error estimation, the concept of inter-scale energy fluxes, π λ, is now widely used as a diagnostic tool to study how energy is transferred across different length scales, λ, in high-resolution turbulence data---independent of LES modelling. In Feldmann et al. (2025), we examine how the choice of filter kernel affects the computed energy fluxes and their interpretation when π is used in post-processing to explore scale interactions in near-wall turbulence. To this end, spatial filtering is applied to a turbulent pipe flow simulation using three commonly used kernels: sharp spectral, Gaussian, and box. The dataset enables a detailed comparison of how these different filters influence both the local structure and statistical characteristics of π at constant filter width. These data support the findings presented in Feldmann et al. (2025) and are provided to facilitate further studies on filtering effects and energy transfer in wall-bounded turbulent flows. This dataset includes velocity fields and energy flux fields based on three different filter kernels, as well as one- and two-point statistics for all field data sets. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_982843 |
| institution | PANGAEA |
| language | en |
| publishDate | 2025 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Pipe flow simulation data illustrating the influence of filter kernels on the scale-energetics of near-wall turbulence Feldmann, Daniel Umair, Mohammad Avila, Marc von Kameke, Alexandra Binary Object; Binary Object (File Size); Description; direct numerical simulation; Figure; File format; Inter-scale energy transfer; Numerical simulated; Pipe flow; Scale separation; Title; Wall-bounded turbulence Originally developed for large-eddy simulation (LES) modelling and error estimation, the concept of inter-scale energy fluxes, π λ, is now widely used as a diagnostic tool to study how energy is transferred across different length scales, λ, in high-resolution turbulence data---independent of LES modelling. In Feldmann et al. (2025), we examine how the choice of filter kernel affects the computed energy fluxes and their interpretation when π is used in post-processing to explore scale interactions in near-wall turbulence. To this end, spatial filtering is applied to a turbulent pipe flow simulation using three commonly used kernels: sharp spectral, Gaussian, and box. The dataset enables a detailed comparison of how these different filters influence both the local structure and statistical characteristics of π at constant filter width. These data support the findings presented in Feldmann et al. (2025) and are provided to facilitate further studies on filtering effects and energy transfer in wall-bounded turbulent flows. This dataset includes velocity fields and energy flux fields based on three different filter kernels, as well as one- and two-point statistics for all field data sets. |
| title | Pipe flow simulation data illustrating the influence of filter kernels on the scale-energetics of near-wall turbulence |
| topic | Binary Object; Binary Object (File Size); Description; direct numerical simulation; Figure; File format; Inter-scale energy transfer; Numerical simulated; Pipe flow; Scale separation; Title; Wall-bounded turbulence |
| url | https://doi.org/10.1594/PANGAEA.982843 |