City Research Online

A 3D Hybrid Model Coupling SPH and QALE-FEM for Simulating Nonlinear Wave-structure Interaction

Zhang, N., Yan, S. ORCID: 0000-0001-8968-6616, Zheng, X. & Ma, Q. ORCID: 0000-0001-5579-6454 (2020). A 3D Hybrid Model Coupling SPH and QALE-FEM for Simulating Nonlinear Wave-structure Interaction. International Journal of Offshore and Polar Engineering, 30(1), pp. 11-19. doi: 10.17736/ijope.2020.jc776


This paper presents a three-dimensional (3D) hybrid model, which couples the weakly compressible smoothed particle hydrodynamics (SPH) and the Quasi Arbitrary Langangian-Eulerian Finite Element Method (QALE-FEM), for modelling the wave-structure interaction (WSI) in extreme sea states. The former is a fully Lagrangian mesh-free approach, which solves the one-phase incompressible Navier-Stokes model, and has shown a satisfactory performance in simulating the WSI. The latter is an arbitrary Lagrangian Eulerian approach based on the fully nonlinear potential theory and can accurately simulate highly-nonlinear non-breaking water waves in a large scale with a high computational efficiency. These two models are coupled using a one-way zonal approach, in which the SPH uses a small computational domain near the structure, whereas the QALE-FEM covers the rest of the computational domain and provides wave conditions at the inlet of the SPH domain. The present hybrid model is validated against the experimental results and applied to the CCP-WSI blind test on modelling wave energy converters subjected to extreme focusing waves. The accuracy and convergence of the presented model are discussed.

Publication Type: Article
Publisher Keywords: hybrid model, SPH, QALE-FEM, WSI, blind Test
Subjects: T Technology > TC Hydraulic engineering. Ocean engineering
Departments: School of Science & Technology > Engineering
SWORD Depositor:
[thumbnail of JC-776 Revised.pdf] Text - Accepted Version
This document is not freely accessible due to copyright restrictions.


Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email


Downloads per month over past year

View more statistics

Actions (login required)

Admin Login Admin Login