Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

An efficient 3D non-hydrostatic model for predicting nonlinear wave interactions with fixed floating structures

Ai, Congfang, Ma, Yuxiang, Yuan, Changfu, Xie, Zhihua ORCID: https://orcid.org/0000-0002-5180-8427, Dong, Guohai and Stoesser, Thorsten ORCID: https://orcid.org/0000-0001-8874-9793 2022. An efficient 3D non-hydrostatic model for predicting nonlinear wave interactions with fixed floating structures. Ocean Engineering 248 , 110810. 10.1016/j.oceaneng.2022.110810

[thumbnail of OE-D-21-02557.pdf]
Preview
PDF - Accepted Post-Print Version
Download (2MB) | Preview

Abstract

This paper presents a three-dimensional (3D) non-hydrostatic model for the prediction of the interaction between nonlinear waves and fixed floating structures. The model solves the incompressible Euler equation by use of a semi-implicit, fractional step algorithm. The water surface elevation is treated as a single-valued function of horizontal position. In order to deal with floating structures, a new numerical algorithm is proposed which combines the immersed boundary method and the global continuity equation in the pressurized region (flow region under the structure). This new algorithm holds the symmetry of the Poisson equation and therefore results in an efficient model. The developed model is validated with the data of two test cases involving 3D nonlinear wave interactions with a floating structure. The model results are compared with experimental data or results of other models. The proposed model exhibits generally good agreement with experimental data and/or other model results, demonstrating its accuracy in resolving 3D nonlinear wave interaction with floating structures.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Advanced Research Computing @ Cardiff (ARCCA)
Engineering
Publisher: Elsevier
ISSN: 0029-8018
Date of First Compliant Deposit: 11 March 2022
Date of Acceptance: 9 February 2022
Last Modified: 08 Nov 2024 23:30
URI: https://orca.cardiff.ac.uk/id/eprint/147475

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics