Structure and Persistence of Surface Ship Wakes
Abstract
It has long been known that ship wakes are observable by synthetic aperture radar. However,
incomplete physical understanding has prevented the development of simulation tools
that can predict both the structure and persistence of wakes in the ocean environment.
It is the focus of this work to develop an end-to-end multi-scale modeling-and-simulation
methodology that captures the known physics between the source of disturbance and the
sensor. This includes turbulent hydrodynamics, free-surface effects, environmental forcing
through Langmuir-type circulations, generation of surface currents and redistribution of
surface-active substances, surface-roughness modification, and simulation of the signature
generated by reflection and scattering of electromagnetic waves from the ocean surface. The
end-to-end methodology is based upon several customized computational fluid dynamics
solvers and empirical models which are linked together. The unsteady Reynolds-averaged
Navier-Stokes equations, including models for the Craik-Leibovich vortex force and near surface
Reynolds-stress anisotropy, are solved at full-scale Reynolds and Froude numbers on
domains that extend tens of kilometers behind the ship. A parametric study is undertaken to
explore the effects of ship heading, ship propulsion, ocean-wave amplitude and wavelength,
and the relative importance of Langmuir-type circulations vs. near-surface Reynolds-stress
anisotropy on the generation of surface currents that are transverse to the wake centerline.
Due to the vortex force, the structure of the persistent wake is shown to be a function of
the relative angle between the ambient long-wavelength swell and the ship heading. Ships
operating in head seas observe 1-3 streaks, while ships operating in following seas observe
2 symmetric streaks. Ships operating in calm seas generate similar wakes to those in following
seas, but with reduced wake width and persistence. In addition to the structure of
the persistent wake, the far wake is shown to be dominated by ship-induced turbulence and
surface-current gradients generating a wide center wake. The redistribution of surface-active
substances by surface currents is simulated using a scalar-transport model on the ocean surface.
Simulation of surface-roughness modification is accomplished by solving a wave-action balance
model which accounts for the relative change in the ambient wave-spectrum by the
surface currents and the damping-effects of surface-active substances and turbulence. Simulated
returns from synthetic aperture radar are generated with two methods implemented.
The first method generates a perfect SAR image where the instrument and platform based
errors are neglected, but the impact of a randomized ocean field on the radar cross section
is considered. The second method simulates the full SAR process including signal detection
and processing. Comparisons are made to full-scale field experiments with good agreement
between the structure of the persistent wake and observed SAR imagery.
General Audience Abstract
It has long been known that ship wakes are observable by synthetic aperture radar. However,
incomplete physical understanding has prevented the development of simulation tools that
can predict both the structure and persistence of wakes in the ocean environment, which
is critical to understanding both the design and operation of maritime remote sensors as
well as providing tactically relevant operational guidance and awareness of the maritime
domain. It is the focus of this work to develop an end-to-end multi-scale modeling-and simulation
methodology that captures the known physics between the source of disturbance
and the sensor. This includes turbulent hydrodynamics, free-surface effects, environmental
forcing, generation of surface currents and redistribution of surface-active substances,
surface-roughness modification, and simulation of the signature from the ocean surface. The
end-to-end methodology is based upon several customized computational fluid dynamics
solvers and empirical models. The unsteady Reynolds-averaged Navier-Stokes equations, including
models to account for environmental effects and near-surface turbulence, are solved
at full-scale on domains that extend tens of kilometers behind the ship. A parametric study
is undertaken to explore the effects of ship heading, ship propulsion, ocean-wave amplitude
and wavelength, and the relative importance of environmental forcing vs. near-surface turbulence
on the generation of surface currents that are transverse to the wake centerline. Due
to the environmental forcing, the structure of the persistent wake is shown to be a function
of the relative angle between the ambient long-wavelength swell and the ship heading. Ships
operating in head seas observe 1-3 streaks, while ships operating in following seas observe
2 symmetric streaks. Ships operating in calm seas generate similar wakes to those in following
seas, but with reduced wake width and persistence. In addition to the structure of
the persistent wake, the far wake is shown to be dominated by ship-induced turbulence and
surface-current gradients generating a wide center wake. The redistribution of surface films
by surface currents is simulated using a scalar-transport model on the ocean surface. Simulation
of surface-roughness modification is accomplished by solving a wave-action-balance
model which accounts for the relative change in the ambient surface profile by the surface
currents and the damping-effects of surface-active substances and turbulence. Simulated
returns from synthetic aperture radar are generated with two methods implemented. The
first method generates a perfect SAR image where the instrument and platform based errors
are neglected, but the impact of a randomized ocean field on the radar cross section is
considered. The second method simulates the full SAR process including signal detection
and processing. Comparisons are made to full-scale field experiments with good agreement
between the structure of the persistent wake and observed SAR imagery.
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- Masters Theses [19662]