Efficient numerical simulation of stochastic internal-wave-induced sound-speed perturbation fields

1998 ◽  
Vol 103 (4) ◽  
pp. 2232-2235 ◽  
Author(s):  
John A. Colosi ◽  
Michael G. Brown
Keyword(s):  
Numerical Simulation ◽  
Internal Wave ◽  
Sound Speed ◽  
Wave Induced

Three-dimensional numerical simulation of wave-induced scour around a pile on a sloping beach

2021 ◽  
Vol 233 ◽  
pp. 109174
Author(s):  
Jinzhao Li ◽  
David R. Fuhrman ◽  
Xuan Kong ◽  
Mingxiao Xie ◽  
Yilin Yang
Keyword(s):  
Numerical Simulation ◽  
Three Dimensional ◽  
Sloping Beach ◽  
Wave Induced

scholarly journals Numerical simulation of the three-dimensional wave-induced currents on unstructured grid

2017 ◽  
Vol 31 (5) ◽  
pp. 539-548
Author(s):  
Ping Wang ◽  
Ning-chuan Zhang ◽  
Shuai Yuan ◽  
Wei-bin Chen
Keyword(s):  
Numerical Simulation ◽  
Unstructured Grid ◽  
Three Dimensional ◽  
Induced Currents ◽  
Wave Induced ◽  
Dimensional Wave

Numerical Simulation on the Propagation of an Internal Wave in Multifluid

2001 ◽  
pp. 639-644
Author(s):  
Hideyuki Oka ◽  
Tetuya Kawamura ◽  
Katsuya Ishii
Keyword(s):  
Numerical Simulation ◽  
Internal Wave

scholarly journals Abyssal plain hills and internal wave turbulence

2018 ◽  
Vol 15 (14) ◽  
pp. 4387-4403 ◽  
Author(s):  
Hans van Haren
Keyword(s):  
Internal Wave ◽  
Wave Breaking ◽  
Large Scale ◽  
Abyssal Plain ◽  
Marginal Stability ◽  
Eddy Diffusivities ◽  
North East ◽  
Mid Atlantic Ridge ◽  
Ocean Topography ◽  
Wave Induced

Abstract. A 400 m long array with 201 high-resolution NIOZ temperature sensors was deployed above a north-east equatorial Pacific hilly abyssal plain for 2.5 months. The sensors sampled at a rate of 1 Hz. The lowest sensor was at 7 m above the bottom (m a.b.). The aim was to study internal waves and turbulent overturning away from large-scale ocean topography. Topography consisted of moderately elevated hills (a few hundred metres), providing a mean bottom slope of one-third of that found at the Mid-Atlantic Ridge (on 2 km horizontal scales). In contrast with observations over large-scale topography like guyots, ridges and continental slopes, the present data showed a well-defined near-homogeneous “bottom boundary layer”. However, its thickness varied strongly with time between < 7 and 100 m a.b. with a mean around 65 m a.b. The average thickness exceeded tidal current bottom-frictional heights so that internal wave breaking dominated over bottom friction. Near-bottom fronts also varied in time (and thus space). Occasional coupling was observed between the interior internal wave breaking and the near-bottom overturning, with varying up- and down- phase propagation. In contrast with currents that were dominated by the semidiurnal tide, 200 m shear was dominant at (sub-)inertial frequencies. The shear was so large that it provided a background of marginal stability for the straining high-frequency internal wave field in the interior. Daily averaged turbulence dissipation rate estimates were between 10−10 and 10−9 m2 s−3, increasing with depth, while eddy diffusivities were of the order of 10−4 m2 s−1. This most intense “near-bottom” internal-wave-induced turbulence will affect the resuspension of sediments.

Direct numerical simulation of the roll-off range of internal wave shear spectra in the ocean

1996 ◽  
Vol 101 (C6) ◽  
pp. 14123-14129 ◽  
Author(s):  
Toshiyuki Hibiya ◽  
Yoshihiro Niwa ◽  
Kensuke Nakajima ◽  
Nobuo Suginohara
Keyword(s):  
Numerical Simulation ◽  
Direct Numerical Simulation ◽  
Internal Wave

scholarly journals Numerical simulation of the wave-induced dynamic response of poro-elastoplastic seabed foundations and a composite breakwater

2015 ◽  
Vol 39 (1) ◽  
pp. 322-347 ◽  
Author(s):  
Jianhong Ye ◽  
Dongsheng Jeng ◽  
Ren Wang ◽  
Changqi Zhu
Keyword(s):  
Numerical Simulation ◽  
Dynamic Response ◽  
Wave Induced
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