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Title: | Validation and Comparisons of Methodologies Implemented in a RANS-VoF Numerical Model for Applications to Coastal Structures |
Authors: | Didier, E. Teixeira, P. |
Keywords: | RANS-VoF;turbulence models;coastal structure;porous breakwater;wave breaking;wave overtopping |
Issue Date: | 10-Aug-2022 |
Publisher: | MDPI |
Citation: | doi.org/10.3390/jmse10091298 |
Abstract: | Methodologies to be used in numerical models based on Reynolds-averaged Navier–Stokes (RANS) equations and the volume of fluid (VoF) to deal with waves over coastal structures, which involve wave breaking and overtopping and porous structures, are shown in this manuscript. Two turbulence models, k-ε NLS (non-linear Reynolds stress tensor) and k-ε SCM (stabilized closure model), that are used to avoid the growth of the eddy viscosity, are implemented in the FLUENT® numerical model. Additionally, equations of momentum and turbulence models are adapted to simulate porous media of coastal structures. Comparisons of performance of k-ε NLS, k-ε SCM and standards k-ε and k-ω SST models in several classical cases of regular and random waves on coastal structures are carried out. It was noticed that the standard k-ε turbulence model, and k-ω SST with less intensity, over-predicted eddy viscosity, caused the decay of the free surface elevation and under-estimated wave overtopping discharge. k-ε NLS and k-ε SCM turbulence models have similar performance, with slightly better results of k-ε NLS, showing good agreement with experimental ones. |
URI: | https://repositorio.lnec.pt/jspui/handle/123456789/1015820 |
Appears in Collections: | DHA/NPE - Comunicações a congressos e artigos de revista |
Files in This Item:
File | Description | Size | Format | |
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2022-jmse-Didier_etal.pdf | In this section, equations and methodologies of the FLUENT® model [43] used in the study cases are shown, including momentum equations, turbulence model equations, porous medium flow equations and numerical conditions. Some are implemented in the original code by means of user-defined functions (UDF). | 19.57 MB | Adobe PDF | View/Open |
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