Assessment of Numerical Methods for Plunging Breaking Wave Predictions

This study evaluates the capability of Navier–Stokes solvers in predicting forward and backward plunging breaking, including assessment of the effect of grid resolution, turbulence model, and VoF, CLSVoF interface models on predictions. For this purpose, 2D simulations are performed for four test ca...

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Main Authors: Shanti Bhushan, Oumnia El Fajri, Graham Hubbard, Bradley Chambers, Christopher Kees
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Journal of Marine Science and Engineering
Subjects:
Online Access:https://www.mdpi.com/2077-1312/9/3/264
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author Shanti Bhushan
Oumnia El Fajri
Graham Hubbard
Bradley Chambers
Christopher Kees
author_facet Shanti Bhushan
Oumnia El Fajri
Graham Hubbard
Bradley Chambers
Christopher Kees
author_sort Shanti Bhushan
collection DOAJ
description This study evaluates the capability of Navier–Stokes solvers in predicting forward and backward plunging breaking, including assessment of the effect of grid resolution, turbulence model, and VoF, CLSVoF interface models on predictions. For this purpose, 2D simulations are performed for four test cases: dam break, solitary wave run up on a slope, flow over a submerged bump, and solitary wave over a submerged rectangular obstacle. Plunging wave breaking involves high wave crest, plunger formation, and splash up, followed by second plunger, and chaotic water motions. Coarser grids reasonably predict the wave breaking features, but finer grids are required for accurate prediction of the splash up events. However, instabilities are triggered at the air–water interface (primarily for the air flow) on very fine grids, which induces surface peel-off or kinks and roll-up of the plunger tips. Reynolds averaged Navier–Stokes (RANS) turbulence models result in high eddy-viscosity in the air–water region which decays the fluid momentum and adversely affects the predictions. Both VoF and CLSVoF methods predict the large-scale plunging breaking characteristics well; however, they vary in the prediction of the finer details. The CLSVoF solver predicts the splash-up event and secondary plunger better than the VoF solver; however, the latter predicts the plunger shape better than the former for the solitary wave run-up on a slope case.
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spelling doaj.art-d5a8e726bee7475db49caee8f311942b2023-12-03T12:12:07ZengMDPI AGJournal of Marine Science and Engineering2077-13122021-03-019326410.3390/jmse9030264Assessment of Numerical Methods for Plunging Breaking Wave PredictionsShanti Bhushan0Oumnia El Fajri1Graham Hubbard2Bradley Chambers3Christopher Kees4Center for Advanced Vehicular Systems, Mississippi State University, Starkville, MS 39759, USACenter for Advanced Vehicular Systems, Mississippi State University, Starkville, MS 39759, USACenter for Advanced Vehicular Systems, Mississippi State University, Starkville, MS 39759, USACenter for Advanced Vehicular Systems, Mississippi State University, Starkville, MS 39759, USAU.S. Army Corps of Engineers, Engineer Research & Development Center Coastal and Hydraulics Laboratory, 3909 Halls Ferry Road, Vicksburg, MS 39180, USAThis study evaluates the capability of Navier–Stokes solvers in predicting forward and backward plunging breaking, including assessment of the effect of grid resolution, turbulence model, and VoF, CLSVoF interface models on predictions. For this purpose, 2D simulations are performed for four test cases: dam break, solitary wave run up on a slope, flow over a submerged bump, and solitary wave over a submerged rectangular obstacle. Plunging wave breaking involves high wave crest, plunger formation, and splash up, followed by second plunger, and chaotic water motions. Coarser grids reasonably predict the wave breaking features, but finer grids are required for accurate prediction of the splash up events. However, instabilities are triggered at the air–water interface (primarily for the air flow) on very fine grids, which induces surface peel-off or kinks and roll-up of the plunger tips. Reynolds averaged Navier–Stokes (RANS) turbulence models result in high eddy-viscosity in the air–water region which decays the fluid momentum and adversely affects the predictions. Both VoF and CLSVoF methods predict the large-scale plunging breaking characteristics well; however, they vary in the prediction of the finer details. The CLSVoF solver predicts the splash-up event and secondary plunger better than the VoF solver; however, the latter predicts the plunger shape better than the former for the solitary wave run-up on a slope case.https://www.mdpi.com/2077-1312/9/3/264air–water interface modelingplunging wave breakingvolume-of-fluid method
spellingShingle Shanti Bhushan
Oumnia El Fajri
Graham Hubbard
Bradley Chambers
Christopher Kees
Assessment of Numerical Methods for Plunging Breaking Wave Predictions
Journal of Marine Science and Engineering
air–water interface modeling
plunging wave breaking
volume-of-fluid method
title Assessment of Numerical Methods for Plunging Breaking Wave Predictions
title_full Assessment of Numerical Methods for Plunging Breaking Wave Predictions
title_fullStr Assessment of Numerical Methods for Plunging Breaking Wave Predictions
title_full_unstemmed Assessment of Numerical Methods for Plunging Breaking Wave Predictions
title_short Assessment of Numerical Methods for Plunging Breaking Wave Predictions
title_sort assessment of numerical methods for plunging breaking wave predictions
topic air–water interface modeling
plunging wave breaking
volume-of-fluid method
url https://www.mdpi.com/2077-1312/9/3/264
work_keys_str_mv AT shantibhushan assessmentofnumericalmethodsforplungingbreakingwavepredictions
AT oumniaelfajri assessmentofnumericalmethodsforplungingbreakingwavepredictions
AT grahamhubbard assessmentofnumericalmethodsforplungingbreakingwavepredictions
AT bradleychambers assessmentofnumericalmethodsforplungingbreakingwavepredictions
AT christopherkees assessmentofnumericalmethodsforplungingbreakingwavepredictions