Analysis of convergence behaviour for the overset mesh based numerical wave tank in OpenFOAM

This paper presents a solution verification and validation study for an overset mesh based numerical wave tank in OpenFOAM, which considers the coupling between a free-surface hydrodynamic flow model, a rigid body motion model and an overset mesh. The coupling between the rigid body motion solver an...

Full description

Bibliographic Details
Published in:Journal of Offshore Mechanics and Arctic Engineering
Main Authors: Chen, Hao, Qian, Ling, Cao, Deping
Format: Article in Journal/Newspaper
Language:English
Published: American Society of Mechanical Engineers 2023
Subjects:
Online Access:https://e-space.mmu.ac.uk/631826/1/OMAE2023_HaoChen.pdf
Description
Summary:This paper presents a solution verification and validation study for an overset mesh based numerical wave tank in OpenFOAM, which considers the coupling between a free-surface hydrodynamic flow model, a rigid body motion model and an overset mesh. The coupling between the rigid body motion solver and the free surface flow solver was achieved in a segregated manner. Free decay of roll motion of a barge was modelled using the numerical wave tank, and the damping coefficient was selected as the target quantity for solution verification. The least square based solution verification procedure was adopted, where one of the four types of error estimators was fit to the data in the least square sense. Both structured and unstructured mesh were tested, and their effects on the convergence order, numerical uncertainty and error were carefully investigated. From the numerical tests, it is found that the numerical wave tank exhibits a very good convergence property for the floating body problems with structured mesh, i.e. nearly second order in space and first order in time. However, when switching the body-fitted mesh to unstructured mesh, the grid convergence is reduced to first order. Unstructured mesh does not significantly affect the convergence order in time domain, but results in a larger uncertainty due to data scattering.