Dataset supporting the University of Southampton Doctoral thesis 'Influence of drift angle on the self-propelled ship’s powering performance in waves'
Dataset supporting the University of Southampton Doctoral thesis 'Influence of drift angle on the self-propelled ship’s powering performance in waves'
The datasets contain the relevant OpenFOAM case and custom solvers developed by Bjorn Winden. The associated publications are:
Windén, B., 2021, October. Predicting the powering performance of different vessel types using an open-source CFD propulsion framework. In SNAME maritime convention (p. D021S004R004). SNAME.
Winden, B., 2021, April. An open-source framework for ship performance CFD. In SNAME Offshore Symposium (p. D021S003R002). SNAME.
University of Southampton
Zhang, Yifu
f3bd0aa4-4ffb-43e5-b13d-699c0fbbee32
Winden, Bjorn
b1093655-db40-4f63-b92f-aa70ed3a70a5
Zhang, Yifu
f3bd0aa4-4ffb-43e5-b13d-699c0fbbee32
Winden, Bjorn
b1093655-db40-4f63-b92f-aa70ed3a70a5
Zhang, Yifu and Winden, Bjorn
(2023)
Dataset supporting the University of Southampton Doctoral thesis 'Influence of drift angle on the self-propelled ship’s powering performance in waves'.
University of Southampton
doi:10.5258/SOTON/D2843
[Dataset]
Abstract
The datasets contain the relevant OpenFOAM case and custom solvers developed by Bjorn Winden. The associated publications are:
Windén, B., 2021, October. Predicting the powering performance of different vessel types using an open-source CFD propulsion framework. In SNAME maritime convention (p. D021S004R004). SNAME.
Winden, B., 2021, April. An open-source framework for ship performance CFD. In SNAME Offshore Symposium (p. D021S003R002). SNAME.
Archive
Yifu_PhDthesis_Datasets.zip
- Dataset
More information
Published date: 2023
Identifiers
Local EPrints ID: 483453
URI: http://eprints.soton.ac.uk/id/eprint/483453
PURE UUID: 20f7c0de-961a-4cab-84ae-b1fb3ac5f71e
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Date deposited: 31 Oct 2023 17:36
Last modified: 05 Jun 2024 17:06
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Contributors
Creator:
Yifu Zhang
Creator:
Bjorn Winden
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