Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Feldmann, Daniel; Umair, Mohammad; Avila, Marc; von Kameke, Alexandra (2025): Pipe flow simulation data illustrating the influence of filter kernels on the scale-energetics of near-wall turbulence [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.982843

Always quote citation above when using data! You can download the citation in several formats below.

Published: 2025-09-01DOI registered: 2025-10-18

RIS CitationBibTeX Citation Share

Abstract:
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.
Keyword(s):
direct numerical simulation; Inter-scale energy transfer; Pipe flow; Scale separation; Wall-bounded turbulence
References:
Feldmann, Daniel; Umair, Mohammad; Avila, Marc; von Kameke, Alexandra (preprint): Effect of filter kernel on scale-energetics of near-wall turbulent structures. arXiv, https://doi.org/10.48550/ARXIV.2008.03535
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1Binary ObjectBinaryFeldmann, DanielNumerical simulated
2Binary Object (File Size)Binary (Size)BytesFeldmann, DanielNumerical simulated
3File formatFile formatFeldmann, DanielNumerical simulated
4FigureFigFeldmann, DanielNumerical simulated
5TitleTitleFeldmann, DanielNumerical simulated
6DescriptionDescriptionFeldmann, DanielNumerical simulated
Status:
Curation Level: Enhanced curation (CurationLevelC) * Processing Level: PANGAEA data processing level 2 (ProcLevel2)
Size:
55 data points

Download Data

Download dataset as tab-delimited text — use the following character encoding:

View dataset as HTML