1DV bottom boundary layer modeling under combined wave and current: turbulent separation and phase lag effects

Katell Guizien, Marjolein Dohmen-Janssen, Giovanna Vittori

Research output: Contribution to journalArticleAcademicpeer-review

40 Citations (Scopus)
73 Downloads (Pure)

Abstract

On the basis of the Wilcox [1992] transitional k-ω turbulence model, we propose a new k-ω turbulence model for one-dimension vertical (1DV) oscillating bottom boundary layer in which a separation condition under a strong, adverse pressure gradient has been introduced and the diffusion and transition constants have been modified. This new turbulence model agrees better than the Wilcox original model with both a direct numerical simulation (DNS) of a pure oscillatory flow over a smooth bottom in the intermittently turbulent regime and with experimental data from Jensen et al. [1989] , who attained the fully turbulent regime for pure oscillatory flows. The new turbulence model is also found to agree better than the original one with experimental data of an oscillatory flow with current over a rough bottom by Dohmen-Janssen [1999] . In particular, the proposed model reproduces the secondary humps in the Reynolds stresses during the decelerating part of the wave cycle and the vertical phase lagging of the Reynolds stresses, two shortcomings of all previous modeling attempts. In addition, the model predicts suspension ejection events in the decelerating part of the wave cycle when it is coupled with a sediment concentration equation. Concentration measurements in the sheet flow layer give indication that these suspension ejection events do occur in practice.
Original languageEnglish
Article number3016
Pages (from-to)16-1-16-15
JournalJournal of geophysical research : Oceans
Volume108
Issue numberC1
DOIs
Publication statusPublished - 2003

Keywords

  • METIS-204520
  • IR-60012

Fingerprint

Dive into the research topics of '1DV bottom boundary layer modeling under combined wave and current: turbulent separation and phase lag effects'. Together they form a unique fingerprint.

Cite this