An improved Lagrangian model for the time evolution of nonlinear surface waves
作者: Charles-Antoine GuérinNicolas DesmarsStéphan T. GrilliGuillaume DucrozetYves PerignonPierre Ferrant
作者单位: 11 Université de Toulon , Aix-Marseille Université , IRD , CNRS-INSU , Mediterranean Institute of Oceanography (MIO UM 110) , 83957 La Garde , France
2 2 Ecole Centrale Nantes , LHEEA Res. Dept. (ECN and CNRS) , 44321 Nantes , France
3 3 Department of Ocean Engineering , University of Rhode Island , Narragansett , RI 02882 , USA
刊名: Journal of Fluid Mechanics, 2019, Vol.876 , pp.527-552
来源数据库: Cambridge University Press Journal
DOI: 10.1017/jfm.2019.519
原始语种摘要: Accurate real-time simulations and forecasting of phase-revolved ocean surface waves require nonlinear effects, both geometrical and kinematic, to be accurately represented. For this purpose, wave models based on a Lagrangian steepness expansion have proved particularly efficient, as compared to those based on Eulerian expansions, as they feature higher-order nonlinearities at a reduced numerical cost. However, while they can accurately model the instantaneous nonlinear wave shape, Lagrangian models developed to date cannot accurately predict the time evolution of even simple periodic waves. Here, we propose a novel and simple method to perform a Lagrangian expansion of surface waves to second order in wave steepness, based on the dynamical system relating particle locations and the...
全文获取路径: Cambridge U Press  (合作)
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影响因子:2.183 (2012)

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关键词翻译
关键词翻译
  • improved 改进
  • Lagrangian 拉格朗日算符
  • nonlinear 非线性的
  • forecast 预报
  • model 模型
  • evolution 进化
  • second 
  • reference 基准电压源
  • numerically 数字上
  • perform 履行