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ZENODO
Dataset . 2024
License: http://opensource.org/licenses/MIT
Data sources: ZENODO
ZENODO
Dataset . 2024
License: https://opensource.org/licenses/MIT
Data sources: Datacite
ZENODO
Dataset . 2024
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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Claim

A High-Performance Code for Analyzing Loss Transport Equations in High-Fidelity Simulations - velocity field data

Research datakeyboard_double_arrow_right Dataset 17 Oct 2024Publisher:ZenodoFunded by:EC | ACROSS
Authors: Biassoni, Daniele; Russo, Matteo; VIviani, Paolo; Vitali, Giacomo; Lengani, Davide;

doi: 10.5281/zenodo.13945003 , 10.5281/zenodo.13945002

A High-Performance Code for Analyzing Loss Transport Equations in High-Fidelity Simulations - velocity field data

Abstract

Velocity field to be processed by the methodology described in Biassoni, D, Russo, M, Viviani, P, Vitali, G, & Lengani, D. "A High-Performance Code for Analyzing Loss Transport Equations in High-Fidelity Simulations." Proceedings of the ASME Turbo Expo 2024: Turbomachinery Technical Conference and Exposition. Volume 12C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions. London, United Kingdom. June 24–28, 2024. V12CT32A039. ASME. https://doi.org/10.1115/GT2024-127953 and with the code provided at https://gitlab.linksfoundation.com/across-public/aeronautics-workflows/asme-turboexpo-2024

Related Organizations
Keywords

hpc, hpda, turbomachinery, cfd

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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!
0
Average
Average
Average
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