Windt, Christian and Davidson, Josh and Akram, Benazzou and Ringwood, John (2018) Performance assessment of the overset grid method for numerical wave tank experiments in the openfoam environment. In: ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. ASME. ISBN 9780791851319

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Abstract

To maximise the energy output of wave energy converters (WECs), large structural motions are desired. When simulating WEC performance in Computational Fluid Dynamics (CFD) based numerical wave tanks, these motions must be explicitly accommodated in the computational domain. Using well established mesh morphing (MM) methods, this explicit accommodation results in deformation of control volumes (CVs)/mesh. Thus, large amplitude WEC oscillations may lead to highly distorted CVs and push MM models beyond the limits of numerical stability. While advanced numerical mesh motion methods, such as overset grids, have been developed in commercial CFD codes to overcome these issues, little use of these methods can be found in WEC analysis. However, recently the overset grid method (OSG) has been made available to a wider user community through its release in the open source CFD environment OpenFOAM [1, 2]. To evaluate the performance of the OSG, this paper will compare the classical MM method and the OSG against experimental tank test data of the WaveStar device [3].

Item Type:	Book Section
Additional Information:	This is the preprint version of the published paper, which is available at: Windt, Christian, Davidson, Josh, Akram, Benazzou, and Ringwood, John V. "Performance Assessment of the Overset Grid Method for Numerical Wave Tank Experiments in the OpenFOAM Environment." Proceedings of the ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. Volume 10: Ocean Renewable Energy. Madrid, Spain. June 17–22, 2018. V010T09A006. ASME. https://doi.org/10.1115/OMAE2018-77564
Keywords:	overset grid method; numerical wave tank experiments; openfoam; Ocean Renewable Energy; Computational fluid dynamics; Deformation; Numerical stability; Oscillations; Wave energy converters;
Academic Unit:	Faculty of Science and Engineering > Electronic Engineering
Item ID:	13345
Identification Number:	https://doi.org/10.1115/OMAE2018-77564
Depositing User:	Professor John Ringwood
Date Deposited:	01 Oct 2020 16:32
Publisher:	ASME
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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