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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Data for the paper "A new paradigm for wall-modeled large eddy simulations using the volume-filtering framework"

Authors: Hausmann, Max; van Wachem, Berend;

Data for the paper "A new paradigm for wall-modeled large eddy simulations using the volume-filtering framework"

Abstract

Data linked to the manuscript: A new paradigm for wall-modeled large eddy simulations using the volume-filtering framework Authors:Max Hausmann, Berend van Wachem Corresponding author:max.hausmann@ovgu.de Channel flow:Mean velocity profiles of the turbulent channel flow with different filter widths and different subgrid-scale models are written in the .txt files stored in the folder Channel (separate README).One instantaneous snap shot of the velocity and pressure field of each channel flow simulation are written in .h5 files stored in the folder Channel. Periodic hill flow:Mean velocity profiles of the periodic hill flow with different filter widths and different subgrid-scale models are written in the .txt files stored in the folder PeriodicHill (separate README).One instantaneous snap shot of the velocity and pressure field of each periodic hill flow simulation are written in .h5 files stored in the folder PeriodicHill. Python scripts:PlotProfilesChannel.py: plots the mean velocity profiles of the turbulent channel flowPlotProfilesPeriodicHill.py: plots the mean velocity profiles at different positions of the periodic hill flowImportField.py: example how to import .h5 flow fields in python AcknowledgmentsThis research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), Project-ID 457509672.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average