Data for Paper "Numerical Investigation of Oleo-Pneumatic Shock Absorber: A Multi-Fidelity Approach"

Files

ECCOMAS2022_Multiphase_2DAxisymmetric_Data.zip (1.55 GB)
ECCOMAS2022_TurbulentShearLayer_3DScaleResolving_SinglePhase_Data.zip (478.21 MB)

Date published

2023-08-25 14:35

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Authors

Sheikh Al Shabab, Ahmed
Grenko, Bojan
Vitlaris, Dimitrios
Tsoutsanis, Panagiotis
Antoniadis, Antonios
Skote, Martin

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Cranfield University

Department

Type

Dataset

ISSN

Format

URI

https://dspace.lib.cranfield.ac.uk/handle/1826/22478

Citation

Sheikh Al Shabab, Ahmed; Grenko, Bojan; Vitlaris, Dimitrios; Tsoutsanis, Panagiotis; Antoniadis, Antonios; Skote, Martin (2023). Data for Paper "Numerical Investigation of Oleo-Pneumatic Shock Absorber: A Multi-Fidelity Approach". Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.20060153

Abstract

Raw data of simulations used in the ECCOMAS 2022 paper titled: Numerical Investigation of Oleo-Pneumatic Shock Absorber: A Multi-Fidelity Approach

Description

Software Description

Software Language

Github

Keywords

Shock Absorbers', 'Turbulence', 'Multiphase', 'Multifidelity'

DOI

10.17862/cranfield.rd.20060153

Rights

CC BY 4.0
https://creativecommons.org/licenses/by/4.0/

Relationships

Relationships

Supplements

https://doi.org/10.23967/eccomas.2022.201'

Funder/s

Innovate UK grant number 263261

Collections

Aerospace