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Practical Ship Hydrodynamics

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Resistance and propulsion 89<br />

resistance problem, the time-domain approach seems unnecessarily expensive<br />

and is rarely used in practice. Norwegian researchers tried to reduce<br />

the computational domain by matching the panel solution for the near-field<br />

to a thin-ship-theory solution in the far-field. However, this approach saved<br />

only little computational time at the expense of a considerably more complicated<br />

code and was subsequently abandoned. The ‘staggered grid’ technique<br />

is again an elegant alternative. Without further special treatment, waves leave<br />

the computational domain without reflection.<br />

Most methods integrate the pressure on the ship’s surface to determine the<br />

forces (especially the resistance) and moments. ‘Fully non-linear’ methods<br />

integrate over the actually wetted surface while older methods often take the<br />

CWL as the upper boundary for the integration. An alternative to pressure<br />

integration is the analysis of the wave energy behind the ship (wave cut analysis).<br />

The wave resistance coefficients should theoretically tend to zero for low<br />

speeds. Pressure integration gives usually resistance coefficients which remain<br />

finite for small Froude numbers. However, wave cut analysis requires larger<br />

grids behind the ship leading to increased computational time and storage.<br />

Most developers of wave resistance codes have at some point tried to incorporate<br />

wave cut analysis to determine the wave resistance more accurately.<br />

So far the evidence has not yet been compelling enough to abandon the direct<br />

pressure integration.<br />

Most panel methods give as a direct result the source strengths of the panels.<br />

A subsequent computation determines the velocities at the individual points.<br />

Bernoulli’s equation then gives pressures and wave elevations (again at individual<br />

points). Integration of pressures and wave heights finally yields the<br />

desired forces and moments which in turn are used to determine dynamical<br />

trim and sinkage (‘squat’).<br />

Fully non-linear state of the art codes fulfil iteratively an equilibrium condition<br />

(dynamical trim and sinkage) and both kinematic and dynamic conditions<br />

on the actually deformed free surface. The differences in results between ‘fully<br />

non-linear’ and linear or ‘somewhat non-linear’ computations are considerable<br />

(typically 25%), but the agreement of computed and measured resistances<br />

is not better in ‘fully non-linear’ methods. This may in part be due to the<br />

computational procedure or inherent assumptions in computing a wave resistance<br />

from experimental data (usually using a form factor method), but also<br />

due to computational errors in determining the resistance which are of similar<br />

magnitude as the actual resistance. One reason for the unsatisfactory accuracy<br />

of the numerical procedures lies in the numerical sensitivity of the pressure<br />

integration. The pressure integration involves basically subtracting forces of<br />

same magnitude which largely cancel. The relative error is strongly propagated<br />

in such a case. Initial errors stem from the discretization. For example,<br />

integration of the hydrostatic pressure for the ship at rest should give zero<br />

longitudinal force, but usual discretizations show forces that may lie within<br />

the same order of magnitude as the wave resistance. Still, there is consensus<br />

that panel methods capture the pressure distribution at the bow quite accurately.<br />

The vertical force is not affected by the numerical sensitivity. Predictions for<br />

the dynamical sinkage differ usually by less than 5% for a large bandwidth of<br />

Froude numbers. Trim moment is not predicted as well due to viscous effects<br />

and numerical sensitivity. This tendency is amplified by shallow water.

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