Breaking of ship bores in a Boussinesq-type ship-wake model

Shi, Fengyan; Malej, Matt; Smith, Jane McKee; Kirby, James T.

doi:10.1016/j.coastaleng.2017.11.002

Cited by 47 publications

(22 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Ship-Wake Generation. Ship-wake generation was documented in Shi et al (2018). It follows Ertekin et al (1986), Wu (1987), and Torsvik et al (2006) and applies a pressure source in the Boussinesq equations.…”

Section: Morphological Evolutionmentioning

confidence: 94%

“…Shi et al (2018) showed soliton generations with the same Froude number and wave breaking concentrated at the first soliton front. The difference may be caused by the sloping beach in this configuration, versus the vertical walls in Shi et al (2018), in which the mach reflection enhances the soliton generation. In the present case, wave breaking is concentrated at the shoreline and is more intense compared to the case with flat bottom.…”

Section: Example For Ship-wake-induced Sediment Transportmentioning

confidence: 95%

“…The model predicts Kelvin wake patterns behind the vessel and reflected waves from the beaches. Different from the case of Shi et al (2018), who conducted a similar ship-wake simulation but with a constant water depth and vertical walls on the sides, a steady bore is generated in front of the vessel in the present case. Shi et al (2018) showed soliton generations with the same Froude number and wave breaking concentrated at the first soliton front.…”

Section: Example For Ship-wake-induced Sediment Transportmentioning

confidence: 95%

“…Different from the case of Shi et al (2018), who conducted a similar ship-wake simulation but with a constant water depth and vertical walls on the sides, a steady bore is generated in front of the vessel in the present case. Shi et al (2018) showed soliton generations with the same Froude number and wave breaking concentrated at the first soliton front. The difference may be caused by the sloping beach in this configuration, versus the vertical walls in Shi et al (2018), in which the mach reflection enhances the soliton generation.…”

Section: Example For Ship-wake-induced Sediment Transportmentioning

confidence: 95%

“…The other was a case with multiple vessels, where six identical vessels were used to investigate the effects of morphological changes. The vessel had a length of 10 m, width or beam of 5 m, and draft of 1.5 m. The shape parameters α = β = 0.5, which represent the block ratio C B = 0.5 calculated based on Shi et al (2018). The vessel was prescribed to move from left to right along the central line of the channel with a supercritical speed of 7.0 m/s (Froude number F r = 1.3).…”

Section: Example For Ship-wake-induced Sediment Transportmentioning

confidence: 99%

See 4 more Smart Citations

Modeling ship-wake-induced sediment transport and morphological change – sediment module in FUNWAVE-TVD

Malej¹,

Shi²,

Smith³

2019

Self Cite

View full text Add to dashboard Cite

PURPOSE:This technical note documents the sediment transport module and morphological module developed in the Boussinesq wave model, FUNWAVE-TVD. The sediment transport module is based on the quasi-steady flow assumption, which is believed to be a more appropriate model for predicting sediment transport in the swash zone and ship-wake-induced shoreline erosion. It includes the suspended sediment transport and bedload sediment transport. The morphological module calculates morphological evolution based on the sediment continuity equation. This technical note also provides model validations and an example for simulating ship-wake-induced sediment transport and morphological changes. This technical note is considered an interim product that will eventually be turned into a full technical report with more validation and verification work, in particular for the case of cohesive sediment transport and morphology change. INTRODUCTION: Two types of sediment transport models have been developed under the FUN-WAVE model framework. Long and Kirby (2006) developed a coupled Boussinesq/bottom boundary layer model for surface wave-induced sediment transport and morphological changes in near-shore regions. The model is based on the curvilinear version of FUNWAVE (Shi et al. 2001)and calculates the bed-load and suspended-load transport rates using instantaneous bed shear stress in a generalized curvilinear coordinate framework. Recently, a sediment transport model for predicting nearshore seabed changes induced by co-seismic tsunamis has been developed by Tehranirad et al. (2016). The sediment transport model coupled with FUNWAVE-TVD (through multi-nesting from the Spherical coordinates to the Cartesian coordinates) successfully reproduced the deposition/erosion patterns in the Crescent City Harbor after the 2011 Tohoku tsunami. This model is based on the quasi-steady flow assumption and is particularly applicable to sediment transport induced by longer waves relative to wind wave periods.The model validations in Tehranirad et al. (2018) indicated that the quasi-steady flow-based sediment transport model is more accurate for predicting the morphological changes due to swash motion, compared with the bottom boundary layer-based sediment transport model, which is suitable for the surfzone. According to the wave characteristics of ship wakes, the quasi-steady flow-based sediment transport model such as in Kobayashi and Tega (2002) is believed to be a more appropriate model for simulating ship-wake-induced shoreline erosion because shoreline erosion occurs at the swash zone or river banks. In this study, the focus was on the ship-wakeinduced sediment transport and shoreline erosions and thus re-implemented the sediment transport and morphological modules in the present version of FUNWAVE-TVD, which has already included the ship-wake generation.The sediment transport model implemented here solves an advection-diffusion depth-averaged sediment concentration equation. It uses van Rijn's (1984) pickup function to calculate sediment ero...

show abstract

Section: Morphological Evolutionmentioning

confidence: 94%

Section: Example For Ship-wake-induced Sediment Transportmentioning

confidence: 95%