Spectral Wave Explicit Navier-Stokes Equations for wave-structure interactions using two-phase Computational Fluid Dynamics solvers

OCEAN ENGINEERING

卷:221

Article

Li, Zhaobin^1,2  Bouscasse, Benjamin^1,2  Ducrozet, Guillaume^1,2  Gentaz, Lionel^1,2  Le Touz, David^1,2  Ferrant, Pierre^1,2 

[1] Ecole Cent Nantes, LHEEA Lab, ECN, Nantes, France

[2] Ecole Cent Nantes, CNRS, Nantes, France

关键词: Wave-structure interaction;    Potential-viscous flow coupling;    SWENSE;    Two-phase flow;    Spectral wave models;   

DOI  :  10.1016/j.oceaneng.2020.108513

来源: Elsevier

【 摘 要 】

This paper proposes an efficient potential and viscous flow decomposition method for wave-structure interaction simulation with single-phase wave models and two-phase Computational Fluid Dynamics (CFD) solvers. The potential part - represents the incident waves - is solved with spectral wave models; the viscous part - represents the complementary perturbation on the incident waves - is solved with the CFD solver. The decomposition strategy is called Spectral Wave Explicit Navier-Stokes Equations (SWENSE), originally proposed for single-phase CFD solvers (Ferrant et al., 2003). Firstly, this paper presents a new two-phase SWENS Equations with interface capturing technique. To achieve this single-phase and two-phase decomposition, the incident fields are extended in the air with a density-weighted pressure. Secondly, an accurate and efficient interpolation method is proposed to transfer High Order Spectral (HOS) wave model's result on CFD mesh, which reduces drastically the divergence error of the interpolated velocity. Implemented within OpenFOAM, these methods are tested by three verification, validation, and application cases, considering incident wave propagation, high-order loads on a vertical cylinder in regular waves, and a Catenary Anchor Leg Mooring buoy in both regular and irregular waves. Speed-ups between 1.7 and 4.2 are achieved. The wave models and the interpolation method are released open-source to the public.

【 授权许可】

Free