READ ME File For 'Dataset for Yifu Zhang PhD Thesis'

Dataset DOI: 10.5258/SOTON/D2843 (https://doi.org/10.5258/SOTON/D2843)

ReadMe Author: Yifu Zhang, University of Southampton 
ORCID ID: 0000-0001-6980-3985

This dataset supports the thesis entitled: Influence of drift angle on the self-propelled ship’s powering performance in waves
AWARDED BY: Univeristy of Southampton
DATE OF AWARD: 2023

DESCRIPTION OF THE DATA

This dataset contains: relevant OpenFOAM case and custom solver selfPropFoam 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.


Related publication:

Zhang, Y., Winden, B., Hudson, D. and Turnock, S., 2022. Hydrodynamic performance of a self-propelled KCS at angle of drift including rudder forces.

Zhang, Y., Hudson, D., Winden, B. and Turnock, S., 2021. Evaluating the effects of drift angle on the self-propelled ship using Blade Element Momentum Theory.

Date that the file was created: October, 2023